Working with AI: Co-Analyst

• Partner closely with the AI team to ensure AI features are genuinely useful, understandable, and aligned with what our users need.
• Help track and document the specific behaviours and styles built into Co-Analyst responses.
• Support the work to adapt Co-Analyst to the needs of specific external organisations.

Raising the bar for product practice

• Contribute to the product function's processes, roadmapping systems, and prioritisation frameworks, and model their consistent use.
• Help define and track the metrics that indicate product success, adoption, and customer satisfaction within your areas.
• Act as a coaching and advisory resource for colleagues, sharing product craft across teams and mentoring less experienced team members as the function grows.

Cross-functional collaboration

• Act as the connective tissue between product, engineering, machine learning, design, customer success, and research within your product areas, ensuring cohesive development cycles and smooth delivery.
• Partner closely with the design team on design and UX, engineering on build and AI/ML, and the research and analysis team on domain expertise, synthesising their input into coherent product decisions.
• Facilitate cross-team workshops to bring evidence and expertise together, and strengthen pre-sprint and in-sprint communication.

You should apply if

• You have shipped complex products in technical domains, ideally AI/ML, data, or intelligence, and you do your best work owning a product area end to end: from framing the problem through to measuring what shipped.
• You are as comfortable in the detail as in the plan. Writing a PRD, interrogating usage data, or pressure-testing a model integration with engineers is the core of your craft, not a chore.
• You hold evidence and conviction in balance. You know when user research should lead and when expertise-led judgement should, and you can make and defend either call.
• You do your best work in a founder-led, vision-led company. You know the difference between owning a vision and making a vision real, and the second is the work you enjoy. The pace and ambiguity of a growth-stage company is what you are looking for rather than what you are tolerating.
• You find genuine satisfaction in bringing order to messy tooling and processes, because you have seen how much leverage a well-run product operation creates.
• You make the people around you better. You share your craft, coach colleagues, and improve the processes you work within, without needing a title that says you must.

Where this role can take you

• Deepen your ownership. Strong performance means broader product areas, higher-stakes bets, and more direct influence over product strategy.
• Help define how AI-native intelligence products get built. Co-Analyst is a category-shaping product, and the work you deliver will influence how the industry approaches human-AI analytical workflows.
• Grow with the product function. As ExTrac scales, this role is the natural path towards senior product leadership. Progress on either track: ExTrac values the individual contributor and Manager paths equally, so you can deepen technical scope or take on people leadership as your responsibilities grow.

Requirements

ExTrac provides services to a number of government clients, some of which specify nationality criteria for individuals seeking security clearance. For this reason, we can only consider applications from individuals who are nationals of the UK, another NATO member state, Australia or New Zealand.

• 4+ years in product management, ideally in AI/ML, data science, or intelligence-related fields, with a proven track record of shipping complex products from concept through to delivery.
• Experience delivering product work in a startup or growth-stage company, with demonstrated ability to own a product area end to end with minimal oversight.
• Able to translate complex technical solutions into product decisions, judging when user research should lead (usability and workflow fit) and when expertise-led conviction should (what to build), and using data and analytics as inputs rather than the whole answer.
• Comfortable working hand in hand with engineering and ML teams, with a good understanding of how complex ML models are integrated into user-facing products, alongside data processing and analytics.
• Skilled at working with engineering, ML, design, and customer success, and at synthesising input from multiple disciplines into coherent product decisions in a collaborative, agile environment.
• Excellent written and verbal communication, with the ability to present complex information clearly to executives, clients, and internal teams.

Desirable

• Experience in threat intelligence, risk analysis, or geopolitical intelligence, or in other highly regulated or security-sensitive environments (e.g. government, defence).
• A foundation in machine learning, data analytics, or AI product management, particularly integrating complex ML models into user-facing products.
• Familiarity with agile methodologies and experience working within established agile processes in a startup or high-growth environment.

Interview Process

We aim to ensure that each person who interviews with our team has the opportunity to showcase their experience and strengths, and to have honest conversations about whether ExTrac and the role align with their career aspirations. The process for this role is as follows:

• Initial Intro Interview - 30 Minutes
• Technical Craft & Competency-based Interviews - 60 Minutes x 2
• Senior Executive Interview - 45 Minutes

Benefits

• Competitive salary based on skills and experience.
• A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions.
• Enhanced parental leave and a workplace