Top Tech Jobs & Startup Jobs in NYC, NY

2 Months AgoSaved
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Hybrid
New York, NY, USA
Easy Apply
300K-390K Annually
Senior level
300K-390K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Lead and grow an applied science squad that owns end-to-end production algorithms. Set technical direction, prototype and ship ML/optimization/LLM solutions, define success metrics, validate performance, and partner with product, engineering, and business stakeholders to improve clinical and cost outcomes.
Top Skills: AWSEval FrameworksHuggingfaceLlm ToolingPandasPythonPyTorchSnowflakeSQLXgboost
2 Months AgoSaved
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
300K-390K Annually
Senior level
300K-390K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Lead and deliver end-to-end production algorithmic systems for healthcare products: frame problems, define objectives, select ML/optimization/heuristic approaches, ship solutions, and measure real-world outcomes. Act as a hands-on individual contributor and player‑coach, technically leading and mentoring a small Applied Science team while reviewing methods company-wide and advancing high-impact initiatives (provider tiering, LLM-based care, member engagement models).
Top Skills: AWSEvaluation FrameworksHuggingfaceLlm ToolingPandasPythonPyTorchSnowflakeSQLXgboost
Reposted 2 Months AgoSaved
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
Entry level
Entry level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
This is a talent-pool submission inviting candidates to share their background and role preferences. Profiles enter Garner's candidate pool for recruiter review; recruiters will contact matches when relevant roles open. Includes fraud/security notice about official email domains and an equal employment opportunity statement with accommodation contact information.
Reposted 2 Months AgoSaved
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
180K-205K Annually
Mid level
180K-205K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Lead product strategy and roadmap for member-facing Incentive Experience, build scalable reimbursement operations, embed with users and ops teams, drive features from discovery through launch, and define success metrics to measure outcomes.
Reposted 2 Months AgoSaved
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
153K-190K Annually
Senior level
153K-190K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
The role involves automating operational workflows, building API-driven systems, managing integrations, and applying infrastructure-as-code to enhance healthcare operations.
Top Skills: AirtableAtlassianAWSClaudeFreshserviceGCPGeminiGoGoogle WorkspaceIntuneJamf ProKandjiNode.jsOktaOkta WorkflowsOpenaiPowershellPythonRetoolSlackSoarTerraform
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Reposted 2 Months AgoSaved
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
260K-382K Annually
Mid level
260K-382K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Design, build, and own algorithmic systems that evaluate providers, make recommendations, and optimize outcomes across cost, quality, and access. Define objective functions and metrics, run experiments, deploy scalable production models, and iterate based on real-world healthcare outcomes while collaborating closely with engineering and business stakeholders.
Top Skills: AWSPandasPythonSnowflakeSQLXgboost
Reposted 2 Months AgoSaved
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
222K-245K Annually
Senior level
222K-245K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Lead the Employer Experience product team owning employer-facing Portal, invoicing and eligibility systems, and internal tools. Define strategy and roadmap, build revenue and membership data products, and partner with engineering, operations, legal, and finance to deliver scalable, production-ready employer and broker experiences.
Reposted 2 Months AgoSaved
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
222K-245K Annually
Senior level
222K-245K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Lead the Payment Foundations team to design and deliver a secure, scalable payments platform. Own roadmap, partner/vendor integrations, APIs, financial ledger, reconciliation, compliance standards, and cross-functional delivery with engineering, operations, legal, and finance to enable money movement and reimbursement use cases.
Top Skills: APIsBank IntegrationsCard ProcessorsFinancial LedgerHsa Provider IntegrationsPayment ProcessorsPaypalVenmo
Reposted 2 Months AgoSaved
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
296K-379K Annually
Senior level
296K-379K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Lead Garner's Financial Incentives product portfolio, owning strategy and roadmap for member incentives, payment mechanisms, employer plan design, and claims/payments platform. Build and mentor a team of product managers, partner cross-functionally to ship secure, scalable money-movement systems, define key metrics, and prioritize work across regulatory and 0-to-1 product challenges.
Reposted 4 Days AgoSaved
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Remote or Hybrid
USA
Easy Apply
200K-235K Annually
Senior level
200K-235K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Own revenue for the West territory by activating and expanding broker, consultant, and employer partnerships in the 200–999 life segment. Build and manage your pipeline, run deals end-to-end, meet quota, and implement tracking and processes to keep territory performance predictable.
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