At a Glance
- Tasks: Lead AI initiatives, turning vision into actionable strategies and measurable outcomes.
- Company: Join BGBx, a dynamic partner in healthcare innovation and impact.
- Benefits: Competitive salary, health insurance, generous time off, and professional development opportunities.
- Other info: Collaborative culture focused on innovation and meaningful impact.
- Why this job: Make a real difference in healthcare while working with cutting-edge AI technologies.
- Qualifications: 5+ years in product management or tech delivery, with strong AI knowledge.
The predicted salary is between 50000 - 60000 £ per year.
About Us
BGBx
, we'redriven by a simple idea: breakthrough thinking createsbreakthroughimpact.
As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges.
Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle.
The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day.
If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx.
- AI Product Manager
- Position Overview
The AI Product Manager leads the strategy, prioritization, delivery, adoption, and measurement of internal AI initiatives that advance BGB's AI operating model.
This role turns the agency's AI vision into a practical roadmap across GPT/LLM enablement, agentic workflows, Claims Library, Orchestration Engine, Cortex/memory, 3D Science tools, production standardization, and workflow automation.
The role is accountable for ensuring AI investments are prioritized against business value, built with the right governance, adopted by teams, and measured for operational and commercial impact.
The AI Product Manager defines the AI product roadmap, prioritizes use cases, drives adoption, and ensures every AI initiative delivers measurable value.
Primary Mission
Turn the AI vision into a focused portfolio of initiatives with clear business cases, product requirements, adoption plans, governance, and impact measures.
Key Partners
COE Lead, business leads, Medical, Strategy, Creative, Editorial, Production, Analytics, IT/Security, Finance, Slalom, Fourier, AI champions.
Success Measures
Prioritized roadmap, clear PRDs, adoption, measurable efficiency/revenue impact, governance readiness, user satisfaction, and successful rollout.
Responsibilities
- Own and maintain the AI product portfolio and roadmap across GPT enablement, agentic workflows, orchestration, knowledge reuse, Claims Library, Cortex/memory, production standardization, and strategic AI tools.
- Identify, evaluate, and prioritize business opportunities suitable for AI enablement or automation based on value, feasibility, risk, reuse potential, adoption readiness, and alignment to the AI operating vision.
- Gather requirements from cross-functional stakeholders and translate business needs into clear product briefs, PRDs, user stories, acceptance criteria, rollout plans, and measurement plans.
- Partner with engineering, platform, UX, SMEs, and external partners to move solutions from concept to pilot, from pilot to production, and from production to scaled adoption.
- Define what belongs in an MVP versus future releases, ensuring early efforts prove adoption, business value, quality, and scalability before scope expands.
- Coordinate pilots, user testing, workflow mapping, training needs, change management, communications, feedback loops, and release readiness.
- Establish product-level governance standards with IT, Security, Medical, Editorial, Legal/Compliance, and agency leadership, including data use, content review, source traceability, and human oversight.
- Define KPIs and OKRs for each AI initiative, including usage, adoption, cycle-time savings, quality improvements, cost avoidance, revenue opportunity, margin protection, and user satisfaction.
- Monitor adoption metrics, operational impact, user feedback, risks, blockers, and enhancement opportunities after launch.
- Create executive-ready updates that clearly communicate progress, value, risks, dependencies, decisions needed, and next steps.
Qualifications
- 5+ years of product management, technology delivery, digital transformation, innovation, operations, or enterprise software experience.
- Experience managing enterprise software, AI, automation, data, workflow, or knowledge management initiatives from strategy through adoption.
- Strong understanding of AI/LLM capabilities, agentic workflows, governance requirements, product discovery, agile delivery, and change management.
- Experience writing PRDs, roadmaps, business cases, MVP definitions, success metrics, rollout plans, and executive status updates.
- Ability to evaluate AI use cases through a business-value lens, including efficiency, quality, risk, adoption, revenue potential, and operational impact.
- Excellent stakeholder management, communication, prioritization, facilitation, and decision-framing skills.
- Comfort working across technical teams, functional SMEs, external partners, and executive stakeholders.
- Demonstrated experience using AI tools as an active part of your development or product workflow
- Ensures the AI operating vision becomes a disciplined product portfolio, not a collection of disconnected experiments.
- Connects technology build decisions to agency priorities, workflow transformation, change management, governance, and measurable business outcomes.
- Helps the agency move fast while staying focused on adoption, quality, scalability, and commercial value.
- Salary Range
What We Offer
At BGBx, we invest in our people because exceptional talent drives exceptional work.
We provide a competitive rewards package designed to support your health, well-being, professional growth, and life outside of work.
- Our benefits package typically includes
- health care insurance
- retirement plans
- generous paid time off and holidays
- wellness benefits
- life insurance
- learning and development opportunities
- other resources that support our employees throughout their careers
Additional benefits may be available based on your location.
Beyond benefits, you'll find a culture built on collaboration, innovation, inclusion, and the opportunity to make a meaningful impact on healthcare and the people it serves.
BGBx is an equal opportunity employer.
All applicants will be considered without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, disability, veteran status or any category or class of person protected by law.
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AI Product Manager employer: BGBx
At BGBx, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the healthcare sector. With a strong focus on professional growth, we offer comprehensive benefits including health care insurance, generous paid time off, and continuous learning opportunities, ensuring that our team members thrive both personally and professionally. Located in a vibrant environment, our AI Software Engineer role provides the chance to work on cutting-edge projects that drive real change, making every day at BGBx rewarding and fulfilling.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at BGBx or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to BGBx.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like BGBx.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like BGBx that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Product Manager
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at BGBx.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at BGBx and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at BGBx
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If BGBx uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
