Own the Falcon Writer product roadmap and deliver AI-powered authoring features for regulated life sciences content. Translate customer workflows into product requirements, collaborate with engineering and QA, define success metrics, conduct customer discovery, and ensure quality, compliance, verification, and human review. The role requires hands-on product management, AI feature experience, strong stakeholder communication, and comfort solving ambiguous problems with cross-functional teams.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
Falcon Writer is Veeva's AI authoring product for regulated life sciences content. It drafts submittable documents from a customer's own data, so medical writers can produce accurate, source-backed content far faster.
We are looking for a Product Manager to join the Falcon Writer team and own a core part of the product. You will work directly with medical writing, regulatory, and clinical teams at customer organizations to understand their workflows, then turn that into a roadmap engineering can build against. This is a hands-on role in applied AI, in a domain where correctness matters more than almost anything else. This role has a preference for candidates based in the Eastern or Central Time Zones.What You’ll Do
- Own and design product features from start to finish, including user stories, functional and non-functional requirements, feature specifications, and quality control checks. Turn ambiguous, early-stage problems into clear technical requirements and prioritized, shippable work.
- Collaborate closely with Development, QA, Project Management, and Product Management to ensure products are built and delivered with quality.
- Acquire deep subject matter expertise in medical writing and work directly with medical writers, regulatory, and clinical teams to understand their document workflows, source data, and compliance requirements in detail.
- Define the metrics that matter, including authoring speed, draft quality, and adoption, and use them to drive prioritization.
- Be accountable for the success of the product
Requirements
- 4+ years of hands-on product management experience.
- Experience shipping AI or machine learning product features, with the ability to define AI use cases that carry clear user and business value and to reason about how AI systems behave and where they need guardrails, verification, and human review.
- Strong ability to understand complex customer workflows and ambiguous, early-stage problems, and translate them into clear product direction and solutions.
- Extensive customer-facing experience, with clear, direct communication and the ability to independently lead customer discovery and align senior stakeholders and cross-functional teams.
- A builder's instinct. You would rather be in the weeds with engineering than reviewing a roadmap deck.
Nice to Have
- Experience in the Life Sciences industry, SaaS, and/or enterprise products.
- Familiarity with regulatory, clinical, medical writing, or pharma document workflows such as clinical study reports, regulatory submissions, and periodic or annual reports.
- Experience with content management or document generation products.
- Experience with Veeva or Vault.
- Familiarity with generative AI workflows such as prompt design, model evaluation, or AI-assisted authoring.
- Experience building working prototypes with AI coding tools to test ideas quickly.
Interviewing with Veeva
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $130,000 - $180,000 CAD
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
#LI-Remote#LI-MidSenior
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, deploy, and operate production optimization applications using machine learning, advanced algorithms, APIs, data pipelines, and evaluation systems. Own system correctness, performance, testing, reliability, observability, and customer outcomes. Direct AI coding agents through precise specifications and review their implementations. Collaborate with product, design, engineering, and customers to define requirements, communicate risks, and influence the product roadmap.
Top Skills:
APIsAutomated TestingConcurrencyGraphQLJavaJavaScriptKubernetesMathematical OptimizationMultiprocessingObservabilityOperations ResearchParallelismPython
5 Hours Ago
Easy Apply
Easy Apply
Cloud • Security • Software • Cybersecurity • Automation
Lead GitLab’s company-wide strategy for autonomous, agentic software development workflows. Identify and validate AI opportunities across the SDLC, build prototypes and reference architectures, establish evaluation frameworks and safety controls, and drive internal adoption. Partner across Engineering, Product, Infrastructure, Security, Architecture, and Data and ML teams to scale reliable, observable, compliant agentic capabilities into customer-facing products. Mentor senior technical leaders and represent GitLab externally on AI-assisted development and productivity measurement.
Top Skills:
Agentic FrameworksAIAutonomous WorkflowsCi/CdData GovernanceDevsecopsDistributed SystemsGitlabLarge Language ModelsMachine LearningMulti-Tenant SystemsObservabilitySecurity And ComplianceSre
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Coordinate cross-functional product go-to-market programs from planning through launch, adoption, and optimization. Build project plans, operating mechanisms, launch documentation, feedback loops, status updates, and decision logs. Partner with Product, Sales, Marketing, Enablement, Analytics, Finance, and leadership to align stakeholders, manage dependencies, identify blockers, and improve execution. Translate operational data and customer or field feedback into clear priorities and recommendations.
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
