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Available in 3 locations
Acquisition \& PM Prof I \- STDE/AI Analyst
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Available in 3 locations
District of Columbia, US, 20005
Virginia, US, 20170
Maryland, US, 21401
District of Columbia, US, 20005
Category: Navy
Job ID: 34112
widget: Full\-Time
Secret
Yes \- May Consider Occasional/Part Time Teleworking for this position
$97787\.27\-$162978\.79
### Position Description \& Qualifications
Position Description \& Qualifications
If you love high profile and challenging projects supporting the US Navy, Serco has a great opportunity for you! Portfolio Acquisition Executive (PAE) Maritime is changing the face of Navy training across the fleet. The Surface Training Systems (STS) Program Office, PMS 339, is the PAE Maritime single point of contact for strategic program planning, policy, acquisition, life\-cycle management, research and development, and technical insertion into all existing and future Navy Surface Training Systems. Join the Serco team as we work to transform Navy training for the Ready Relevant Learning / Career Training Continuum vision. This position is a hybrid position in the greater Washington, DC area with requirements to be present in the Washington Navy Yard, Washington, DC with one day’s notice.
This position supports PAE Maritime PMS 339 in the management of a new Surface Training Data Ecosystem (STDE) program. You will support the PMS 339 STDE Assistant Program Manager in coordinating AI/ML integration efforts across the Surface Training Program (STP). The role is primarily program office support such as coordination, documentation, stakeholder engagement, and analytical support. Although not a Technical Engineering or Data Scientist position, the right candidate can navigate the AI/ML, Data accessibility and related IT architecture problem space, engage credibly with technical and senior stakeholders, and drive coordination on issues.In this role you will:
- Coordinate across NAVSEA (HQ/Warfare Centers), TYCOM (SMWDC, ATGs), NETC (SCSTC, SWSC), RMCs and OPNAV N96D on STDE data provisioning, Learning Center modernization, and AI/ML integration timelines.
- Support development of AI/ML enabled program office dashboards, briefs, and status products for PMS339, NAVSEA, and N96D leadership.
- Track and document AI/ML integration requirements within the Surface Training Program (STP) Interoperability Standards (SIS) framework, including Data Lake standards, AI governance, and T\&E criteria for AI tools.
- Draft and coordinate acquisition documentation (SOWs, justification packages, requirements docs) related to STDE and AI/ML efforts.
- Support Integrated Product Team(s) and Cross Functional Team(s) participation by preparing meeting materials, capturing action items, and ensuring STDE equities are represented.
- Maintain working awareness of GenAI.mil and industry tools to inform coordination efforts.
To be successful in this role, you must have:
- U.S. Citizenship
- An active Secret security clearance
- A bachelor’s degree
+ Or a master’s degree and 5 years of related experience
+ Or 4 additional years of military operational experience
+ Or 2 additional years of military operational experience and an Associate’s degree.
+ Or a technical certification may be considered in lieu of a formal degree.
- Strong problem\-solving and intuitive thinking: The candidate must be comfortable operating in ambiguity, identifying novel solutions, and thinking creatively through issues that don’t have a template.
- Strong written communication skills
- A minimum of 7 combined years of experience in the following areas:
+ Conversant in AI/ML technical vernacular: Must be able to discuss (Large Language Models (LLMs), model orchestration, data pipelines, and Experience Application Programming Interface (xAPI) with technical stakeholders with credibility; Must understand associated AI/ML capabilities and challenges well enough to coordinate and document effectively.
+ Confident communicator in high\-visibility settings: must be able to brief and engage credibly with senior leadership (O\-6/GS\-15 and above), flag officers, and cross\-organizational stakeholders without hesitation.
+ Experience supporting DoD/Navy program offices in a coordination or analytical capacity.
+ Familiarity with NAVSEA acquisition processes or OPNAV staff functions.
+ Bottom line upfront (BLUF)\-format emails, structured briefs, and status products.
- Ability to travel up to 10%.
Additional desired experience:
- Institutional knowledge of the surface Navy desired: familiarity with surface training, readiness, and manning intersect at the waterfront, schoolhouse, and OPNAV levels.
If you are interested in supporting and working with our PAE Maritime efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!
### Company Overview
Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco’s 9,000\+ employees strive to make an impact every day across 100\+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters.
To review Serco benefits please visit: https://careers.serco\-na.com/us/en/what\-we\-offer. If you require an accommodation with the application process please email: careers@serco\-na.com or call the HR Service Desk at 800\-628\-6458, option 1\. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email.
Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government\-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice.
Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email Agencies@serco\-na.com.
Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
### Pay Transparency
Our Total Rewards package includes competitive pay, performance\-based incentives, and benefits that promote well\-being and work\-life balance—so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time\-off programs that support work\-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements.
Salary range: The range for this position can be found at the top of this posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job\-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long\-term incentive opportunities. Benefits – Comprehensible benefits for full\-time employees (part\-time employees receive a limited package tailored to their role):
- Medical, dental, and vision insurance
- Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract
- 401(k) plan that includes employer matching funds
- Tuition reimbursement program
- Life insurance and disability coverage
- Optional coverages that can be purchased, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
- Birth, adoption, parental leave benefits
- Employee Assistance Plan
To review all Serco benefits please visit: https://careers.serco\-na.com/us/en/about\-us.
Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco’s external (or internal) career site. If an applicant has any concerns with job posting compliance, please send an email to: careers@serco\-na.com.
Salary Context
This $97K-$162K range is in the lower quartile for AI Product Manager roles in our dataset (median: $188K across 140 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Serco, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $216,175 based on 270 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($130K) sits 40% below the category median. Disclosed range: $97K to $162K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Serco AI Hiring
Serco has 1 open AI role right now. They're hiring across AI Product Manager. Based in Washington, DC, US. Compensation range: $162K - $162K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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