{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/translucent/jobs/4338307009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4197911009,"location":{"name":"New York City"},"metadata":null,"id":4338307009,"updated_at":"2026-08-17T12:13:27-04:00","requisition_id":"19","title":"Forward Deployed Analytics Engineer","company_name":"Translucent","first_published":"2026-07-29T14:20:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Why Translucent\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Translucent is changing that. We\u0026#39;re building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we\u0026#39;ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we\u0026#39;re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;About the role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Forward Deployed Analytics Engineer to join our team in New York. You will sit at the intersection of our customers\u0026#39; financial and clinical data and the agentic AI systems we are building on top of it. Working within our managed data pipeline, you will reverse-engineer customer-specific business rules, build the transformations that map raw customer data into our unified ontology and semantic layer, and hold the bar for correctness on everything that flows through it.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role. You will work directly with customers to understand their source-of-truth financial and clinical models, then translate that understanding into durable, well-tested data transformations.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;What you\u0026#39;ll do\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Understand customer requirements, current processes, workflows and business logic.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify the data required to stand up a customer workspace, and review customer source-of-truth financial and clinical data models — potentially on-site with customers to capture business logic firsthand.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reverse-engineer and codify customer-specific business rules, from payer contract logic to chart-of-accounts idiosyncrasies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and validate transformations that map customer data into Translucent\u0026#39;s unified ontology and semantic layer, using SQL within our managed data pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own testing and validation rigor for every transformation you ship — you are the last line of defense on data correctness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with our data platforming team when transformation needs surface pipeline or platform constraints, without owning that infrastructure yourself.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interact directly with customers to confirm data access and validate your understanding of their source systems and business logic.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with our platform team to identify expansion opportunities for core infrastructure and shared services, based on patterns you see across customer engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with our insights and product engineering teams to understand and expand our data ontology as new customer needs and data sources emerge.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we\u0026#39;re looking for\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;Must-haves\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep healthcare data domain experience — prior work at a health system, healthcare-focused consulting, or health tech, with hands-on exposure to claims, reimbursement, or revenue cycle data. (EHR/clinical data experience is a plus)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort reverse-engineering messy or under-documented business logic directly from source systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong SQL — this is the primary tool of the role, and we expect real fluency, not familiarity. Bonus points for BigQuery SQL experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working inside a modern data platform (Databricks, Snowflake, Fabric, BigQuery, or similar) as a hands-on user.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with dbt-style transformation tooling (we use SQLMesh) including model contracts and layered/medallion architectures; comfort working in transformation-as-code workflows including testing and validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of owning a data pipeline or transformation layer end-to-end, not just contributing to one someone else built.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid data modeling and pipeline instincts: comfortable reasoning about schemas, normalization vs. denormalization, modeling complex domain entities and operating a data pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience reasoning about and building both historical backfills and incremental loads — knowing when each is appropriate, and how to handle late-arriving or corrected data without breaking downstream consistency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable operating in a git-native, PR-driven workflow — version control, code review, and shipping changes through an established CI/CD pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production Python experience — you\u0026#39;ve shipped and maintained Python in a real pipeline or codebase, not just used it for scripts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3-5+ years of relevant industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Nice-to-haves\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Epic Cogito and Epic Clarity certifications or accreditations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working under strict PHI/data-governance constraints (e.g., synthetic-only test fixtures, no real patient data in code).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Healthcare interoperability standards experience (HL7, FHIR, X12 837/835).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working directly with customers or stakeholders in a forward-deployed, integrations, or solutions engineering capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with GCP BigQuery SQL dialect\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Education\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Bachelor\u0026#39;s degree (or higher) in a quantitative or business-adjacent discipline — computer science, statistics, mathematics, health informatics, or finance/accounting — or equivalent experience in healthcare data, revenue cycle, or health system finance. We weigh hands-on healthcare data experience and SQL fluency at least as heavily as formal degree background.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Location\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Union Square, New York City. \u0026lt;strong\u0026gt;In-office 4 days per week.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;$150k - $200k\u0026lt;/p\u0026gt;","departments":[{"id":4015786009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4015264009,"name":"New York City","location":"New York, New York, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/translucent/jobs/4338339009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4197932009,"location":{"name":"New York City"},"metadata":null,"id":4338339009,"updated_at":"2026-08-17T12:21:03-04:00","requisition_id":"20","title":"Forward Deployed Insights Engineer (Applied AI)","company_name":"Translucent","first_published":"2026-08-07T13:42:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Why Translucent\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Translucent is changing that. We\u0026#39;re building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we\u0026#39;ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we\u0026#39;re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;About the role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Forward Deployed Insights Engineer to join our team in New York. You will sit at the intersection of our customers\u0026#39; healthcare finance problems and the agentic AI and ML systems we build to solve them. Working on top of the unified data ontology our Analytics Engineers maintain and the agent infrastructure our AI Engineering team builds, you will stand up new agents and ML models for specific customer problems, configure the visualizations and presentation layer that make their outputs usable, and work directly with customers and end users to turn those capabilities into real, trusted decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership, customer-facing role. You will partner closely with our product team to make sure the solutions you build for one customer become repeatable, platform-wide offerings.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;What you\u0026#39;ll do\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Configure customer workspaces and build new AI agents and ML models on top of existing agent infrastructure and platform capabilities — our AI Engineering team owns agent infra, development harnesses, and core architecture, so you\u0026#39;re focused on building for the customer problem, not the underlying framework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work directly with customers and our product team to scope solutions that solve real, high-value problems in healthcare finance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Configure the visualizations and presentation layer for the data, trends, and insights your agents and models generate — turning model output into something a finance or operations leader can act on.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present and demo ML/AI solutions directly to end users — translating technical capability into business trust.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product to generalize customer-specific solutions into reusable, platform-wide features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Validate the correctness and reliability of the agents and models you ship, and build the testing rigor needed to earn customer trust in AI-generated outputs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we\u0026#39;re looking for\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;Must-haves\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep healthcare domain experience — consulting, forward-deployed, or health tech background, with hands-on exposure to claims, EHR, or financial/revenue cycle data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python and SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Real, hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) in your day-to-day workflow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to AI/ML projects or programs — agentic systems, applied ML, or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort building visualizations or front-end presentation layers for data and analytical output (e.g., dashboards, BI tools, or lightweight front-end frameworks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working directly with end users, including presenting technical or AI/ML solutions to non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience with version control and gitops workflows — you\u0026#39;re comfortable owning changes through code review and shipping them via automated CI/CD, not just committing code.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Nice-to-haves\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;GCP experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience productizing a bespoke customer solution into a reusable, platform-wide feature.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Education\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Bachelor\u0026#39;s degree (or higher) in computer science, data science, statistics, mathematics, or a related quantitative field — or equivalent experience building and deploying applied ML/AI solutions. Advanced degrees (MS in a quantitative field) are a plus but not required; we weigh hands-on AI/ML build experience and healthcare domain exposure over formal credentials.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Location\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Union Square, New York City. \u0026lt;strong\u0026gt;In-office 4 days per week.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;$180k - $230k\u0026lt;/p\u0026gt;","departments":[{"id":4015786009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4015264009,"name":"New York City","location":"New York, New York, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/translucent/jobs/4338349009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4197940009,"location":{"name":"New York City"},"metadata":null,"id":4338349009,"updated_at":"2026-08-21T11:53:52-04:00","requisition_id":"21","title":"Implementation Lead, Physician Enterprise","company_name":"Translucent","first_published":"2026-08-21T11:53:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h1\u0026gt;\u0026lt;strong\u0026gt;Implementation Lead, Physician Enterprise\u0026lt;/strong\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Translucent\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Translucent is changing that. We\u0026#39;re building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we\u0026#39;ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we\u0026#39;re just getting started.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a founding Technical Implementation Lead to own the technical delivery of Physician Enterprise everywhere it\u0026#39;s deployed — a system of record for medical group performance, service-line economics, and physician compensation, used directly by Physician Enterprise CFO/FP\u0026amp;amp;A and Compensation teams. This is a new discipline at Translucent: one person holding the full picture of a product across every account running it, rather than that expertise being rebuilt or fragmented account by account.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll partner with an Account Owner on each account. They own the long-term relationship — client trust, change management, training, and long-term value realization. You own the implementation — requirements, scope, delivery, and quality — and you run the pod day-to-day. You\u0026#39;re also a design partner to Product and Product Engineering as they build net-new capability for Physician Enterprise, since no one else holds as complete a picture of what\u0026#39;s actually needed in the field. This is hands-on work: you\u0026#39;ll be in requirements sessions, reviewing data models, and making the calls yourself.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What you\u0026#39;ll do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the technical implementation of Physician Enterprise across every enterprise account where it\u0026#39;s deployed — scoping, requirements, delivery plans, and quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead requirements gathering directly with client stakeholders, translating provider productivity, labor cost, service-line performance, and physician comp problems into structured technical scope.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the final decision-maker and quality check for all work produced by your product\u0026#39;s pods, you hold the authority and accountability for what ships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the day-to-day activity of your product\u0026#39;s pod(s): prioritizing work, unblocking Analytics and Insights Engineers, and keeping delivery moving across every account you own.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner directly with Product Managers and Product Engineering on net-new product development — bringing field-tested requirements and technical realities into the roadmap, and stress-testing new capability before it reaches a customer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain the delivery plan for Physician Enterprise across accounts — milestones, dependencies, risks, and sign-offs — using structured, standardized delivery tracking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the transition from active build to steady-state technical ownership on each account post-launch, in coordination with the Account Owner.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help build the implementation playbooks and standards that make Physician Enterprise easier to deploy at the next account than the last.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we\u0026#39;re looking for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Must-haves\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of combined experience across hands-on technical work (data/analytics engineer, solutions/implementation engineer, or similar) and direct ownership of client-facing technical delivery — you\u0026#39;ve been the technical decision-maker on complex, high-stakes implementations before.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep fluency in physician enterprise operations or finance — provider productivity, labor cost management, service-line performance, site of care optimization or physician compensation — strong enough that you can sit in a requirements session, hear a client describe a margin, workflow or transparency problem, and translate it into buildable technical scope yourself.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine technical fluency: you can read a data model, evaluate an integration or configuration approach, and make final calls on technical quality and risk without needing to escalate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort leading through expertise and judgment rather than formal authority — operating as a pod lead with real decision-making power and no direct reports, including effective partnership with a non-technical relationship counterpart.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice-to-haves\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience as a technical lead for a single product line across multiple enterprise customers, rather than a single-account implementation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience directing or mentoring engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort presenting technical tradeoffs and risk directly to senior client stakeholders (CFO/FP\u0026amp;amp;A level).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the hospital or health system IT landscape (e.g., EHR/Epic-adjacent workflows).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Education\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Bachelor\u0026#39;s degree (or higher), or equivalent experience owning technical implementations and direct client-facing delivery. We weigh hands-on ownership and outcomes over formal credentials.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Union Square, New York City. In-office 4 days per week. This role may require occasional travel for onsite customer sessions.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;$200K – $240K\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4015786009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4015264009,"name":"New York City","location":"New York, New York, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/translucent/jobs/4331320009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4194423009,"location":{"name":"New York City near Union Square"},"metadata":null,"id":4331320009,"updated_at":"2026-08-13T15:18:49-04:00","requisition_id":"18","title":"Product Designer","company_name":"Translucent","first_published":"2026-07-24T17:06:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Role Details\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Full-Time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Office Location - New York City (preferred)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Translucent\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Translucent is changing that. We\u0026#39;re building the agentic AI platform designed exclusively for healthcare finance— giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we\u0026#39;ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we\u0026#39;re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world, this is the place.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Role Overview\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Product Designer to help shape the everyday experience of Translucent: the AI financial platform transforming how healthcare organizations make business decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll work shoulder-to-shoulder with our Founding Designer and Product Engineering to take ideas from rough concept to polished, shipped product. This role is hands-on and craft-focused: less about setting design strategy from scratch, more about turning complex financial and operational workflows into clear, usable, intuitive experiences, and making sure design intent survives all the way to production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you are energized by fast-paced environments, love sweating the details, partnering closely with engineers, and seeing your work in customers\u0026#39; hands quickly, you\u0026#39;ll feel at home here.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Engineering and our Founding Designer to take projects from concept to shipped without hand-offs, owning the details that make the difference\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hunt down the \u0026quot;paper cuts\u0026quot; to refine key screens and flows, fix small inconsistencies, and design the missing pieces (empty, loading, error, and edge-case states) that make a product feel complete\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own design QA: review implementation against intent, hold the bar on typography, spacing, and interaction, and make sure what ships is production-ready and precise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Formalize ambitious concepts into clean, well-organized design files and reusable components the whole team can build on\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use and improve our design system, keeping patterns consistent as the product scales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fold in feedback from Product, customers, and live usage to refine and iterate\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5–8 years designing high-quality digital products, ideally in SaaS, analytics platforms, or AI-powered tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong UX and interaction design skills: you can simplify complexity without flattening it\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Real visual taste: you obsess over typography, hierarchy, spacing, and layout\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing for data-heavy, workflow-driven use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to produce production-ready designs and prototypes at a good clip\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product sensibility\u0026lt;/strong\u0026gt;: You think beyond the screen to how real users will experience what you build\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;End-user empathy\u0026lt;/strong\u0026gt;: Genuinely driven to understand healthcare operators\u0026#39; workflows and pain points\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Startup realist\u0026lt;/strong\u0026gt;: Ready to sprint when priorities shift, jump into unfamiliar areas when the team needs it, and wear multiple hats\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborative style\u0026lt;/strong\u0026gt;: You work fluidly with Product and engineers and can explain the \u0026quot;why\u0026quot; behind your decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills across technical and non-technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience designing for financial analytics, enterprise workflows, or healthcare users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with conversational interfaces, copilots, agents, or generative AI UX patterns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with maintaining design systems and component libraries in production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior startup experience where you owned hands-on execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You can code (even a little!)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Experience Level\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for designers who own meaningful surface area and drive work forward independently by partnering closely with our Founding Designer rather than setting design direction solo. You\u0026#39;ll bring a ruthless eye for detail, the judgment to make sharp trade-offs under ambiguity, and the taste to recognize what makes an enterprise product feel polished and low-key delightful, not just functional.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;a href=\u0026quot;https://www.translucent.co/\u0026quot;\u0026gt;https://www.translucent.co/\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Base Salary\u0026lt;/strong\u0026gt;: $140,000-$200,000 USD + equity\u0026lt;/p\u0026gt;","departments":[{"id":4062971009,"name":"Design","child_ids":[],"parent_id":null}],"offices":[{"id":4015264009,"name":"New York City","location":"New York, New York, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/translucent/jobs/4369098009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4212730009,"location":{"name":"New York, New York"},"metadata":null,"id":4369098009,"updated_at":"2026-08-13T15:07:04-04:00","requisition_id":"25","title":"Product Lead","company_name":"Translucent","first_published":"2026-08-13T13:31:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h1\u0026gt;\u0026lt;strong\u0026gt;Product Lead\u0026lt;/strong\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Role Details\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Full-Time.\u0026amp;nbsp;Office Location - New York City, Union Square (in office 4 days per week)\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Translucent\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Translucent is changing that. We\u0026#39;re building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7 and understand their specific data, business logic, and workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we\u0026#39;ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we\u0026#39;re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Role Overview\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Product Lead to own one of Translucent\u0026#39;s core Product verticals end to end – for example:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hospital \u0026amp;amp; Service Line Performance\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Revenue Intelligence\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Supply Chain/ Pharmacy\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;A vertical at Translucent isn\u0026#39;t a feature area. It\u0026#39;s an economic problem health systems are willing to pay for to solve, with a portfolio of products underneath it and a set of AI agents doing the work. You own the thesis, the roadmap, the products, the quality bar, and — most of all — whether real operators use it and can point to dollars. You are the single-threaded owner.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Main Product approach: pick the right problems, ship fast, drive customer adoption, and prove the value in dollars a CFO or Operator will sign their name to.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the vertical\u0026#39;s thesis and roadmap — which economic problems we solve, which products sit underneath, in what order, and what we deliberately don\u0026#39;t build\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and build AI agents that take action for high value workflows within the vertical\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Decide what agents do autonomously in your vertical versus what stays human-in-the-loop, and hold the accuracy bar with AI Engineering through real evals, not just spot checks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive activation, not just shipped surface area. You\u0026#39;re accountable for real personas logging in on a real cadence and acting on what they see\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tie the vertical to realized dollars — revenue recovered, margin protected, manual work eliminated — documented and confirmed by the customer\u0026#39;s finance leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Go deep with operators: CFOs, VPs of revenue cycle, managed care, service line and department leaders. Turn messy institutional reality into sharp product decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build on shared foundational capabilities — stored contracts, external datasets, the context layer, the agent harness — and push the platform team when they need to be better\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with GTM on pricing, packaging, and positioning, and be in the room on the deals your vertical needs to win\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Do the work: write the specs, build the prototypes yourself, run the QA, sit in onboarding sessions. We\u0026#39;re small and everyone is comfortable wearing different hats.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow the team around the vertical as it earns headcount, \u0026amp;amp; set the bar for the PMs who join.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You Have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in product, including time as the senior-most product owner for a business line or product portfolio — not a single feature team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of moving an enterprise product from thin usage to genuine adoption, and the numbers to prove it.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep domain knowledge in healthcare provider finance or operations —e.g. revenue cycle, payer contracting, service line economics, hospital operations, pharmacy drug margins, , physician productivity, etc.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take an abstract product concept from a customer or the sales teams, go deep in the domain, and produce a quickly vibe-coded prototype you’d feel comfortable to present to a customer for discovery to refine it\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency with data-heavy products: you can read a data model and reason about where the data will betray you\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience shipping AI or agentic products in production, and a real point of view on where they fail and how to make them trustworthy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort being the accountable owner in a company that is allergic to shared ownership — you\u0026#39;d rather make a clear call and be wrong than diffuse the decision\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with health system leadership: you can hold a CFO\u0026#39;s attention, take a hard question, and not retreat into product jargon\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Startup realist: ready to sprint when priorities shift, jump into unfamiliar areas, and wear multiple hats\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI-augmented operator: you use tools like Claude, Cursor, Gemini, and v0 to move materially faster than a traditional PM, with specific examples\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bias toward action: you take an ambiguous problem to a working V1 quickly, then iterate against real feedback\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written communication. Most of our decisions get made in writing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate in chaos and bring structured organization to a quickly shifting ambiguous environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low ego, high curiosity. Since we\u0026#39;re building net-new products with no established playbook, the strongest solutions come from listening, learning from your teammates, and being willing to be wrong.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Any Agentic AI work or personal experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on familiarity with Epic (Clarity/Caboodle), Strata, Vizient, Premier, or comparable provider finance and decision-support systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience standing up a new product line 0→1 inside an existing company, with existing customers to sell into\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Early start-up experience\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;P\u0026amp;amp;L, revenue, or quota-adjacent ownership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring, leveling, and growing product managers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in provider-side consulting, revenue integrity, or managed care strategy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Experience Level\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for someone who steps in as a peer to our founders and existing product leadership from day one. You\u0026#39;ll bring a clear thesis on where the value is in your vertical, the judgment to make sharp trade-offs under ambiguity, the credibility to hold the room with health system executives, and the discipline to measure yourself on live usage and realized dollars rather than roadmap output.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Base Salary: $220,000 – $250,000 USD + equity\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;a href=\u0026quot;https://www.translucent.co/\u0026quot;\u0026gt;https://www.translucent.co/\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4015787009,"name":"Product","child_ids":[],"parent_id":null}],"offices":[{"id":4015264009,"name":"New York City","location":"New York, New York, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/translucent/jobs/4361398009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4209769009,"location":{"name":"New York City"},"metadata":null,"id":4361398009,"updated_at":"2026-08-13T15:30:01-04:00","requisition_id":"23","title":"Senior Security Engineer","company_name":"Translucent","first_published":"2026-08-10T08:19:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Translucent\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Translucent is changing that. We\u0026#39;re building the agentic AI platform designed exclusively for healthcare finance— giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we\u0026#39;ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we\u0026#39;re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;About the role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Senior Security Engineer in New York to own security and compliance across our IT and software development practices at the frontier of LLM-agentic product development. You\u0026#39;ll join the platform technology organization as its primary security engineer, building and maintaining security infrastructure in GCP and across our sub-processors. Partnering closely with platform and product engineers, you\u0026#39;ll keep our core deployed systems secure and well-tested, define internal security standards, and evaluate and audit the technologies the company adopts. In short, you\u0026#39;ll enable us to move fast with emerging technology without compromising on security.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;What you\u0026#39;ll do\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage SecOps software in GCP and Vanta.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continually monitor, analyze and improve our deployed software’s security posture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Validate software is correct, secure, and maintains customer privacy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage compliance standards and own the lifecycle of necessary diligence work\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain a database of core security artifacts, document processes and help manage security work\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the data and AI governance framework for internal operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Select and audit technologies for use internally in operating the business\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure we’re compliant with our contractual obligations beyond our opt-in and mandated security standards\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we\u0026#39;re looking for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Must-haves\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong Experience with Vanta and other SecOps platforms, setting up and maintaining those platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Cloud DevOps IaC platforms, preferably Terraform (we use OpenTofu).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience auditing cloud-based LLM tools and running AI security audits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with IT procurement and security vetting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of SAML, SSO, SCIM, OIDC, and identify management platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding and opinions about security in the age of LLM-agent based software development\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience programming, building, and maintaining tooling and software for internal use\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience performing security-focused design and code reviews\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of post-university (bachelor\u0026#39;s degree) industry experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in a high-growth environment in a highly regulated industry, such as healthcare preferably, finance or defense.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice-to-haves\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Led or managed SOCII and HITRUST security audit processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Helped manage relationships with security product vendors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Google Security Command Center\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Auth0 and Okta\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Golang, Typescript, or Python\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Education\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Bachelor\u0026#39;s degree (or higher).\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Union Square, New York City.\u0026lt;strong\u0026gt; In-office 4 days per week.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Anticipated compensation: $180,000 - $250,000 with Equity\u0026lt;/p\u0026gt;","departments":[{"id":4015786009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4015264009,"name":"New York City","location":"New York, New York, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/translucent/jobs/4331322009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4194423009,"location":{"name":"New York City near Union Square"},"metadata":null,"id":4331322009,"updated_at":"2026-08-13T15:19:29-04:00","requisition_id":"18","title":"UX Product Designer","company_name":"Translucent","first_published":"2026-07-24T17:08:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re seeking a UX Product Designer to shape the core user experience of Translucent — the AI financial platform transforming how healthcare organizations make business decisions. This is a founding design role. You’ll be the design leader shaping how complex financial and operational workflows become intuitive, conversational, and insight-driven through AI. This role is equal parts product thinking, interaction design, systems design, and visual refinement. You’ll partner with customers, product, and engineering to craft elegant solutions that make healthcare decision-making feel simple.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you are energized by fast-paced environments, want ownership, and are excited to build new AI-native products from 0→1, this is an opportunity to do career-defining work.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;IIn this role, you will:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own product design, UX architecture, prototyping, and visual aesthetic\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product, engineering, and forward-deployed teams to deeply understand customer workflows, pain points, and mental models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate complex, data-heavy use cases and workflows into intuitive, clear, and highly-usable product experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and evolve our design system, visual language, and UX patterns across the platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create high-fidelity prototypes to communicate experience direction and enable rapid iteration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with engineering to ensure design intent is delivered with quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive UX experimentation and validation through user testing, feedback sessions, and live usage signals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor others in product design best practices and help raise the design bar across our team\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Bring\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6–10+ years designing high-quality digital products, ideally in SaaS, analytics platforms, or AI-powered tools for reputable brands\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mastery of UX and interaction design: You can simplify complexity without oversimplifying\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong visual taste: You sweat the details of typography, hierarchy, and layouts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing for data-heavy, workflow-driven use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to create production-ready Figma designs and prototypes at speed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working in high-velocity and ambiguity: You can define the problem as you design the solution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative style: You work fluidly with Product and engineers and know how to drive alignment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clarity in communication: You can explain the “why” behind your decisions to both technical and non-technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A portfolio that demonstrates systems thinking, product storytelling, and beautiful execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to rapidly prototype new products or features\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience designing tools for financial analytics, enterprise workflows, or healthcare users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with conversational interfaces, copilots, agents, or generative AI UX patterns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior startup experience where you owned both design strategy and hands-on execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are a designer who can also code!\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Translucent\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building healthcare\u0026#39;s AI financial analyst. We help providers make faster, smarter, and more confident decisions without digging through dashboards or waiting on analyst teams. Backed by top-tier investors, our team combines deep healthcare expertise and technical excellence to reinvent how work gets done in healthcare systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;a href=\u0026quot;https://www.translucent.co/\u0026quot;\u0026gt;https://www.translucent.co/\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt; New York City (Hybrid - office in Union Square)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Base Salary\u0026lt;/strong\u0026gt;: $200,000-$220,000 USD + equity\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4062971009,"name":"Design","child_ids":[],"parent_id":null}],"offices":[{"id":4015264009,"name":"New York City","location":"New York, New York, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null}],"meta":{"total":7}}