Product Manager, Senior

Product Manager, Senior

The Opportunity:

GRACE is ARPA-H's AI assistant, and its value depends on how well ARPA puts it to work. We are looking for a startup-minded Product Manager who is also the team's product owner and Scrum Master. You'll own the backlog, run the sprint cadence, write epics and product acceptance criteria, track and report the numbers, and be a main point of contact for the people using GRACE.

You'll work with the GRACE product lead, who sets strategy and epic priority, breaks ties, and makes the final call on sprint scope, releases, and architecture reviews. Engineering owns how things get built. You own getting work ready, keeping each sprint on track, and making sure what ships gets used and works.

This role is ideal for someone who has worked directly with customers or internal teams in high-velocity environments such as startups or big tech, listens more than they talk, and wants to apply practical AI across an enterprise. You'll do this while helping teams understand GRACE's capabilities and limits within the constraints of our mission and the broader federal environment, including privacy, security, safety, and responsible use by default.

What You'll Work On:

• Turn prioritized epics into a ranked backlog.

• Write user context and product acceptance criteria for every story, and technical acceptance criteria.

• Run a 60-minute grooming session with a hard stop, keep time, and move anything unresolved to a breakout with only the people involved.

• Track open items until they close, co-own the ready check before planning with the lead, and run ceremonies on a fixed schedule.

• Track velocity against capacity, along with carryover, raise trends before anyone asks, and keep meeting load in check.

• Get the right people together, make the call, and tell everyone when requests compete for the same sprint.

• Track usage weekly, including active users, query volume, feature adoption, and retention.

• Pull your own data, write SQL, read logs, and build and maintain dashboards.

• Publish a weekly update covering usage, velocity, carryover, bug burn-down, and what's shipping next.

• Review grooming health and delivery health with engineering every month.

• Triage bugs by severity, take part in every pre-release test huddle, and use GRACE every day the way users do.

• Help define what a good GRACE answer looks like, and contribute test cases to the team's evaluations.

• Serve as the accountable party for release sign-off when no other owner is named, and hold a release if testing, design review, or architecture review was skipped.

• Share customer-facing support with the product lead, by supporting intake, feedback channels, and office hours.

• Run discovery through interviews, usability sessions, and usage data.

• Help lead training and onboarding, including live sessions, release notes, how-to guides, and onboarding for new agency partners.

• Work with design and research to turn findings into epics, then measure what shipped.

• Bring security, compliance and ATO considerations in early, especially for external agency integrations.

• Communicate roadmap, tradeoffs, and status clearly to technical and non-technical audiences.

Join us. The world can’t wait.

You Have:

• 10+ years of experience in product management or product ownership, including running Scrum ceremonies

• Experience running a grooming process with an enforced Definition of Ready, and showing how it improved delivery

• Experience with an AI or LLM product

• Experience working with data on your own, including SQL, logs, and dashboards

• Experience writing epics, stories, and product acceptance criteria

• Experience reporting on usage, velocity, and defect metrics on a regular cadence

• Experience with customer-facing user training or onboarding

• Ability to make priority calls quickly with input from the people closest to the work

• Bachelor’s degree

Nice If You Have:

• Experience with agentic products, MCP, or multi-agent systems

• Experience in a PM, Scrum Master, and Analyst role

• Experience tracking delivery health metrics such as deployment frequency, lead time, change failure rate, and time to recovery, with an engineering team

• Experience working with UX researchers and designers in a build-measure-learn loop

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.

• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.