Technical Product Manager – Life Sciences

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the product strategy and roadmap for a designated portfolio within Arcadia's platform, collaborating daily with embedded engineering teams throughout the entire software development life cycle (SDLC).

• Convert business objectives, customer requirements, and technical realities into well-defined requirements, acceptance criteria, and appropriately scoped increments.

• Engage with engineering teams on data pipelines, data models, and enrichment processes, making informed prioritization decisions.

• Lead and participate in agile ceremonies including backlog grooming, sprint planning, sprint reviews, and incident/root cause analysis (RCA) reviews.

• Break down ambiguous or large-scale objectives into minimum viable products (MVPs) and iterative delivery plans.

• Utilize SQL and product/data instrumentation for self-service answers, hypothesis validation, and data-driven prioritization decisions.

• Replicate, triage, and assist in troubleshooting complex product issues alongside engineering teams.

• Articulate roadmap progress, technical risks, and tradeoffs to both technical and non-technical stakeholders.

• Collaborate with design, operations, commercial, marketing, and analytics teams to foster adoption and generate measurable value.

• Balance the delivery of new features with the management of technical debt, performance, and platform scalability.

• Develop fluency in platform, data model, and technical stack.

• Establish product and delivery metrics for prioritization and reporting to stakeholders.

• Lead technical discovery initiatives involving data investigation, feasibility assessments, and discussions on pipeline architecture.

• Drive roadmap strategy while balancing short-term delivery with long-term scalability and technical health.

• Identify opportunities to minimize technical debt, enhance data quality, and unlock new technical capabilities.

• Mentor colleagues and contribute to process improvements within product engineering.

⛳️ Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience).

• 4–7+ years of product management experience, with significant time spent collaborating closely with engineering teams in Agile/Scrum settings.

• Proven success in guiding products from requirements through the SDLC to launch, including scoping MVPs and iterating post-launch.

• Experience in engaging in technical tradeoff discussions related to architecture, APIs, data flows, scalability, and implementation strategies.

• Strong preference for experience in healthcare, health-tech, or complex B2B data/SaaS; knowledge in population health, value-based care, or interoperability is a plus.

• Proficient in SQL.

• Familiarity with database and data-platform technologies, such as Snowflake and cloud data warehouses.

• Comfortable collaborating with engineers on API design, system architecture, and understanding technical constraints.

• Strong sense of ownership with a proactive approach and hands-on execution.

• Excellent written and verbal communication skills.

• Comfortable navigating ambiguity and breaking down large challenges into manageable increments.

• Ability to facilitate trade-off discussions among product, engineering, and business stakeholders.

• Detail-oriented with a commitment to maintaining clear and up-to-date documentation.

• Prior experience with healthcare data standards or interoperability frameworks, such as FHIR, and regulatory-grade data environments is preferred.

• Exposure to AI/ML or GenAI-enabled product functionalities is preferred.

• Experience with BI/visualization tools and large-scale data platforms is preferred.

• Background in math, statistics, computer science, or engineering, or previous experience as a software engineer or data analyst is preferred.

🏝️ Benefits

• Flexible, remote-friendly work environment.

• Employee-driven programs and initiatives for personal and professional growth.

• Membership in the Arcadian and Barkadian community.

• Opportunity to collaborate closely with skilled engineers and product developers.

• In-depth, focused exposure to Arcadia's platform architecture, data model, and engineering practices.

• Mission-driven work aimed at transforming the healthcare landscape.