Technical Product Manager, Life Sciences
亚卡迪亚致力于让所有人都更快乐,健康的日子。我们将多元数据转化为健康的一块统一结构。我们的平台为客户提供可行的见解来推动护理和研究,推动战略增长并取得财务成功。更多信息请访问 arcadia.io.为什么这项角色对阿卡迪亚很重要。技术产品经理,生命科学位于产品策略和工程执行交叉口,与团队直接嵌入,使复杂的医疗保健数据和平台能力成为客户所依赖的产品。这一角色拥有产品生命周期的技术深度,同时保持团队与客户价值和业务结果联系在一起。你将成为产品和工程之间的连接组织:在技术堆中足够流利地做出实时交易决策,并在产品工艺上有足够的纪律,以使路线图依赖于客户影响。这是一个手动的技术产品角色,为某个人提供了事物的运作细节而不是仅仅是什么得到发货的能量。3 个月内成功看起来像什么 · 在阿卡迪亚平台架构,数据模型以及你分配的工程团队的技术堆方面培养工作流利性。·与工程同行建立可信,可靠的合作关系,参加冲刺仪式和保养会议。· 掌握产品领域的后备并开始基于客户和技术影响积极优先考虑。· 在技术对话中保持有关管道架构,数据或实施交易的能力。6个月内 · 与工程密切合作,在可预测的交付顺序下发送一个或多个有意义的产品增长。· 制定明确的产品和交付指标,并使用它们来引导优先处理和利益相关者报告。· 成为工程师对要求的清晰度,范围交易和客户背景的可用的资源。· 领导结构化技术发现 (数据调查,可行性检查,管道架构讨论),以提供路线图决策信息。在12个月内·被认可为产品所有者和专业领域专家,由工程和商业利益相关方都信任。· 推动平衡短期交付与长期平台扩展性和技术健康的路线图战略。· 主动识别并采取行动减少机会。
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Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.
Why This Role Is Important To Arcadia
The Technical Product Manager, Life Sciences sits at the intersection of product strategy and engineering execution, embedded directly with our teams to turn complex healthcare data and platform capabilities into products our customers rely on. This role owns the technical depth of the product lifecycle while keeping the team anchored to customer value and business outcomes.
You will be the connective tissue between Product and Engineering: fluent enough in the technical stack to make real-time tradeoff decisions with engineers, and disciplined enough in product craft to keep the roadmap grounded in customer impact. This is a hands-on, technical product role for someone energized by the details of how things work, not just what gets shipped.
What Success Looks Like
In 3 Months
- Develop working fluency in Arcadia's platform architecture, data model, and the technical stack of your assigned engineering team.
- Build trusted, credible working relationships with your engineering counterparts, joining sprint ceremonies and grooming sessions.
- Take ownership of a product area's backlog and begin active prioritization grounded in customer and technical impact.
- Demonstrate the ability to hold your own in a technical conversation about pipeline architecture, data, or implementation tradeoffs.
In 6 Months
- Ship one or more meaningful product increments in close partnership with engineering, on a predictable delivery cadence.
- Establish clear product and delivery metrics, and use them to guide prioritization and stakeholder reporting.
- Be a go-to resource for engineering on requirements clarity, scope tradeoffs, and customer context.
- Lead structured technical discovery (data investigation, feasibility checks, pipeline architecture discussions) that informs roadmap decisions.
In 12 Months
- Be recognized as the product owner and technical subject-matter expert for your portfolio, trusted by engineering and business stakeholders alike.
- Drive roadmap strategy that balances near-term delivery with long-term platform scalability and technical health.
- Proactively identify and act on opportunities to reduce technical debt, improve data quality, or unlock new technical capability.
- Mentor peers on how to work effectively with engineering teams and contribute to broader product-engineering process improvements.
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
What You'll Be Doing
- Own product strategy and roadmap for a defined portfolio within Arcadia's platform, partnering day-to-day with an embedded engineering teams through the full SDLC.
- Translate business goals, customer needs, and technical realities into clear requirements, acceptance criteria, and well-scoped increments engineering can execute against.
- Engage deeply with engineering on data pipeline, data models, and enrichment asking the right technical questions and making informed calls when priorities conflict.
- Run and participate in agile ceremonies: backlog grooming, sprint planning, sprint reviews, and incident/RCA reviews, ensuring engineering has what it needs to move fast without losing quality.
- Deconstruct ambiguous or large-scale goals into MVPs and iterative delivery plans, adjusting scope based on technical constraints and customer feedback.
- Use SQL and product/data instrumentation to self-serve answers, validate hypotheses, and make data-informed prioritization decisions.
- Replicate, triage, and help troubleshoot complex product issues alongside engineering, escalating and documenting bugs and workarounds as needed.
- Communicate roadmap progress, technical risks, and tradeoffs clearly to both technical and non-technical stakeholders.
- Partner with agentic designers, operations, commercial, marketing, and analytic teams to ensure what engineering ships is adopted and drives measurable value.
- Advocate for a healthy balance between shipping new capability and managing technical debt, performance, and platform scalability.
What You'll Bring
Education
- Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience)
Experience
- 4–7+ years of product management experience, with meaningful time spent working shoulder-to-shoulder with engineering teams in Agile/Scrum environments.
- Proven track record taking products from requirements through SDLC to launch, including scoping MVPs and iterating post-launch.
- Experience engaging in real technical tradeoff discussions architecture, APIs, data flows, scalability, and implementation approach.
- Healthcare, health-tech, or complex B2B data/SaaS experience strongly preferred; population health, value-based care, or interoperability experience is a plus.
Technical Fluency
- Hands-on SQL proficiency, comfortable writing queries to self-serve analysis and validate product decisions.
- Working understanding of database and data-platform technologies (e.g., Snowflake, cloud data warehouses) and how data model design affects product capability.
- Comfort partnering with engineers on API design, system architecture, and technical constraints without needing everything translated into non-technical terms.
Qualities & Skills
- Strong ownership mentality with a bias toward action and hands-on execution.
- Excellent written and verbal communication; able to move fluidly between engineering detail and executive-level summary.
- Comfortable operating in ambiguity, breaking large problems into deliverable increments.
- Calm, confident facilitator of trade-off conversations across product, engineering, and business stakeholders.
- Attention to detail and a commitment to clear, current documentation.
Would Love For You To Have
- Experience with healthcare data standards or interoperability frameworks (e.g., FHIR) and regulatory-grade data environments.
- Exposure to AI/ML or GenAI-enabled product capabilities, including retrieval-augmented generation, automation, or predictive analytics.
- Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) and large-scale data platforms (Snowflake, Redshift, Databricks, or similar).
- A background in a hard science (math, statistics, computer science, or engineering) or prior experience as a software engineer or data analyst.
What You'll Get
- The chance to work shoulder-to-shoulder with a team of extremely talented, dedicated engineers and product builders.
- Deep, focused exposure to Arcadia's platform architecture, data model, and engineering practices.
- Be part of a mission-driven company transforming healthcare by changing the way patients receive care.
- A flexible, remote-friendly company with personality and heart.
- Employee-driven programs and initiatives for personal and professional development.
- Membership in the Arcadian and Barkadian community.