Jobs at Prenuvo

Design, build, and scale backend services and APIs (checkout, payments, scheduling, accounts) using Python, FastAPI, and PostgreSQL. Integrate third-party platforms, ensure resiliency and observability with Datadog, optimize performance, write automated tests, and mentor engineers while partnering with Product and Design to deliver customer-facing features.

Ensure the quality of web applications, APIs, backend services, and mobile applications through manual and automated testing. Develop test strategies, plans, and documentation; manage defects; lead root cause analysis; integrate testing into CI/CD pipelines; validate accessibility; and mentor junior QA engineers. Collaborate with product, design, and engineering teams to improve product quality, performance, security, and user experience.

Build and operate Python backend services, REST APIs, clinical data models, and batch or event-driven pipelines. Work with FHIR and HL7 healthcare data to support reliable integrations, reporting, analytics, and AI workflows. Establish data quality, validation, governance, lineage, monitoring, and auditability practices. Lead architectural discussions, review implementations, mentor engineers, and collaborate with clinical, product, analytics, and AI teams.

Leads end-to-end business process discovery, mapping, governance, optimization, and automation across teams. Designs and delivers Salesforce Health Cloud and Sales Cloud solutions using no-code capabilities, including Flow, data modeling, integrations, security controls, and deployment. Facilitates stakeholder workshops, translates operational needs into scalable solutions, establishes KPIs and SLAs, drives continuous improvement, and serves as a Salesforce Health Cloud subject matter expert.

Build and ship production-grade AI features by embedding with clinical, product, and operations teams. Own solutions end to end, including architecture, evaluation, validation, governance, deployment, monitoring, and human-in-the-loop safeguards. Develop agentic capabilities using tool calling, RAG, MCP integrations, and orchestration on AWS Bedrock. Establish acceptance criteria and risk controls, contribute reusable platform assets, and improve AI fluency across teams. The role requires strong Python, cloud engineering, full-stack development, and experience delivering validated AI features in production.

Manage and optimize paid social and paid search campaigns across Meta, TikTok, Reddit, Google Ads, and Microsoft Ads. Responsibilities include bid and budget optimization, ad copy and creative testing, audience and landing-page experiments, performance analysis, campaign scaling, tracking coordination, and reporting. The role supports expansion into new channels and focuses on acquisition metrics including CPA, ROAS, and cost per purchase.

Own product operations and organizational readiness for launches, rollouts, pilots, and process changes. Build change-impact assessments, enablement, communications, adoption measures, feedback systems, and launch processes. Partner cross-functionally with Product, Clinical, Operations, Marketing, Support, and TPM teams to identify risks, improve workflows, synthesize user feedback, and turn operational insights into product recommendations and continuous improvements.

Build and scale sales enablement across direct-to-consumer, physician partnership, and enterprise teams. Develop selling strategies, onboarding, training, coaching, certifications, playbooks, talk tracks, and sales content. Analyze sales performance and call observations to improve seller capability, adoption, productivity, ramp time, and conversion. Partner cross-functionally with Sales, Marketing, Product, Clinical, Legal, and Sales Operations while personally delivering hands-on enablement programs in a 0-to-1 environment.

Own full-cycle recruiting for 8–15 concurrent requisitions across clinical, engineering, product, AI, operations, corporate, and commercial functions. Partner with hiring managers and senior leaders on role definition, sourcing, structured interviews, candidate assessment, offer negotiations, and hiring decisions. Build passive talent pipelines, manage candidate experience, and adapt recruiting strategies across multiple geographies and time zones.

Leads enterprise analytical modeling and semantic architecture, establishes standards for testing, documentation, governance, lineage, observability, and access, and develops reusable governed data products. Partners across Product, Engineering, Finance, Clinical, Research, Marketing, and AI teams; guides architecture reviews, data quality ownership, semantic layer design, and governance adoption. Mentors engineers and drives modernization of analytical environments.

Own revenue forecasting, annual planning, long-range planning, scenario analysis, driver-based financial models, and performance reporting. Partner with Sales, Marketing, Expansion, Data, Product, Strategy, and Accounting to analyze revenue drivers, pricing, capacity, unit economics, and growth initiatives. Present actionable insights to executives and the Board, improve forecasting systems and data governance, and lead one FP&A direct report.

Own the strategy, architecture, roadmap, governance, and operations of the marketing technology ecosystem. Lead CRM, marketing automation, CDP, analytics, attribution, experimentation, personalization, data integrations, and automation initiatives. Partner with Marketing, Growth, Data, Product, and Engineering leadership; manage vendors, contracts, budgets, implementation, adoption, data quality, and operational risk. Provide technical direction and mentorship while translating complex decisions for executive stakeholders.

Lead full-cycle recruiting for 8–12+ technical requisitions across engineering, AI/ML, data, and product. Develop sourcing strategies, conduct technical screens, manage Greenhouse workflows, coordinate structured interviews, advise hiring leaders, negotiate offers, and provide a high-touch candidate experience. This autonomous six-month contract requires recruiting across seniority levels and geographies, including difficult-to-fill technical roles.