Evinova Product Director

Posted 2 Days Ago
Be an Early Applicant
Gaithersburg, MD, USA
In-Office
186K-240K Annually
Senior level
Biotech • Pharmaceutical
The Role
Lead the creation and scaling of an AI-native product for clinical development. Define vision and roadmap, validate hypotheses with users, drive AI-enabled features with engineering and data science, ensure regulatory compliance, and deliver commercial outcomes while coordinating across product, design, and commercial teams.
Summary Generated by Built In

WHY JOIN US?
Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone. Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide.
 

At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment.
 

We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in-person teamwork, innovation, and meaningful connection.

Role Overview
 

Evinova is seeking an entrepreneurial, AI-fluent Product Director to take ownership of a core product area, building it from the ground up with AI at its foundation. This is a founding product leadership role: you will define the vision, strategy, and roadmap for an AI-native product that fundamentally changes how clinical development and clinical operations teams work—designing for the end user first, enabling seamless, collaborative workflows, and driving connectivity across Evinova’s modules so that the platform works as one.
 

As Product Director, you will operate with significant autonomy and act as the general manager for your product area at Evinova. This is an individual contributor role: you will not have direct reports, but you will lead and inspire a matrixed, cross-functional team—engineering, design, data science, and commercial—through vision, influence, and clarity. You will identify whitespace, validate opportunities directly with end users and customers, ship V1 products, and iterate relentlessly—embedding AI and machine learning into every layer of the product build, maintenance, and experience, and driving connectivity across Evinova’s modules so workflows flow seamlessly for clinical development and clinical operations teams.
This role requires a builder who thrives in ambiguity and brings the conviction to create something new within a world-class life sciences software organization.
 

WHAT YOU’LL DO
 

Build an AI-Native Product from Zero to One

  • Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale.

  • Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows—pinpointing where the product can deliver step-function impact rather than incremental gains.

  • Drive rapid hypothesis validation through prototyping and experimentation.

  • Own the full product lifecycle end-to-end: from concept and design through development, launch, go-to-market, and post-launch iteration informed by usage data and customer feedback.
     

Lead AI-Native Product Development

  • Architect the product with AI and machine learning at its core—for example: intelligent automation, contextual recommendations, predictive insights, and generative AI–powered workflows that reduce effort for end users.

  • Collaborate closely with data science and engineering teams to translate cutting-edge AI capabilities into practical, regulation-aware product features.

  • Design for the end user first—building intuitive, collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together, with connectivity across Evinova’s modules.

  • Meet users where they are and guide them through their change management journey—earning adoption by easing the transition to new, AI-enabled ways of working rather than forcing it.

  • Maintain a sharp point of view on the evolving clinical trial and AI landscape—proactively identifying opportunities to apply emerging capabilities to the challenges faced by clinical development and clinical operations teams.
     

Drive Strategic Leadership Across Evinova

  • Partner with a matrixed product organization to drive connectivity across Evinova’s modules and inform the product roadmap. Partner with commercial to ensure the product does not over-fit to any one customer. Iterate relentlessly in pursuit of product-market fit.

  • Serve as the strategic product leader across the organization, aligning engineering, design, data science, and commercial around a unified product vision.

  • Communicate product strategy, progress, and trade-offs to Evinova’s executive leadership and key enterprise customers.

  • Define and own success metrics—adoption, engagement, revenue contribution, clinical trial cycle-time reduction—and drive data-informed prioritization.
     

Operate with Entrepreneurial Ownership

  • Treat your product area as your own business—own the P&L mindset, make resource trade-offs, and drive measurable commercial outcomes.

  • Navigate the tension between speed-to-market and regulatory compliance (GxP, 21 CFR Part 11, GDPR, HIPAA).

  • Cultivate strategic partnerships with data providers and standards bodies (CDISC, HL7 FHIR) to accelerate Evinova’s product capabilities.

  • Champion a culture of experimentation, intellectual honesty, and continuous learning within your product area and across the broader Evinova team.
     

WHAT YOU BRING
 

Required Experience

  • 8+ years of product management experience, with at least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end.

  • Demonstrated entrepreneurial track record: you have taken at least one product from zero to one—as a founder, early-stage PM, or intrapreneur within a larger organization. You can point to products you conceived, shipped, and scaled.

  • Deep, hands-on experience building AI/ML-powered products. You understand model development lifecycles, training data strategies, prompt engineering, evaluation frameworks, and the unique UX challenges of AI-driven features. AI fluency is non-negotiable for this role.

  • Domain experience in life sciences, clinical trials, healthcare, or regulated SaaS. You bring a deep understanding of the clinical development and clinical operations personas, know the clinical ecosystem (EDC, CDMS, CTMS, eTMF), and can engage credibly with clinical operations leaders, medical directors, biostatisticians, data managers, and regulatory professionals.

  • Proven ability to operate in enterprise B2B SaaS environments, including navigating complex stakeholder landscapes, long sales cycles, and platform-level product decisions.

  • Strong technical acumen: comfortable partnering directly with engineers and data scientists, reviewing technical specifications, and contributing to architectural trade-off decisions.
     

AI Fluency Expectations

  • You use AI tools daily in your own workflow—for research, analysis, writing, prototyping, and decision-making—and can articulate how AI is transforming product development practices.

  • You can evaluate AI/ML model outputs, reason about precision/recall trade-offs, and make informed product decisions around model thresholds, confidence scoring, and human-in-the-loop design patterns.

  • You maintain a current and informed perspective on the AI landscape—foundation models, agentic AI, retrieval-augmented generation, fine-tuning—and have a point of view on how these capabilities apply to regulated industries like clinical research.
     

Preferred Qualifications

  • Experience as a founder or co-founder of a technology company, or as the first product hire at an early-stage startup.

  • Working knowledge of clinical trial data standards (CDISC SDTM/ADaM, CDASH) and regulatory submission workflows.

  • MBA, advanced degree in a quantitative field, or equivalent depth of practical experience.

SO, WHAT’S NEXT?

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity.  If you know someone who would be a great fit, please share this posting with them.

Where can I find out more?

  • Explore what we’re building: www.evinova.com
  • Stay connected and see our impact in action: https://www.linkedin.com/company/evinova/

Apply today to bring smarter, faster clinical trials to life!

Evinova is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. Evinova is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing [email protected].

#LI-Hybrid

The annual base pay for this position ranges from $186,014.40 - $240,000 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 

In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. 

Date Posted

07-Aug-2026

Closing Date

03-Sept-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

Skills Required

  • 8+ years of product management experience
  • At least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end
  • Proven track record taking a product from zero to one (founder, early-stage PM, or intrapreneur)
  • Deep, hands-on experience building AI/ML-powered products (model lifecycle, training data strategies, prompt engineering, evaluation)
  • Daily use of AI tools and demonstrable AI fluency (foundation models, RAG, fine-tuning)
  • Domain experience in life sciences/clinical trials/regulated SaaS and familiarity with EDC, CDMS, CTMS, eTMF
  • Experience operating in enterprise B2B SaaS environments (complex stakeholders, long sales cycles)
  • Strong technical acumen; comfortable partnering with engineers and data scientists and reviewing technical specifications
  • Ability to navigate regulatory compliance (GxP, 21 CFR Part 11, GDPR, HIPAA) in product decisions
  • Working knowledge of clinical trial data standards (CDISC SDTM/ADaM, CDASH) and regulatory submission workflows
  • Experience as a founder or first product hire at an early-stage startup
  • MBA or advanced quantitative degree (or equivalent practical experience)

AstraZeneca Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.

  • Fair & Transparent Compensation Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
  • Strong & Reliable Incentives Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
  • Retirement Support A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.

AstraZeneca Insights

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The Company
HQ: Gaithersburg, MD
70,000 Employees
Year Founded: 1999

What We Do

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet.

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