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⚡ Source: ReedRef: 56819199

Senior Product Manager

Harnham - Data & Analytics Recruitment·London·Posted 1 week ago
💰 90-105k GBP/year⭐ Senior
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Job description

Original text imported from Reed

Senior Product Manager
Remote-first (UK based) | £105,000 + benefits

This is a rare opportunity to step into a senior, high-impact product role at a scaling, science-led technology business. You will shape the future of a complex AI-driven product used in pharmaceutical research, moving it from strong foundations to a more mature, commercially aligned product offering with a clear go-to-market strategy.

The Company
They are a venture-backed, Series A technology business operating at the intersection of life sciences, data science and artificial intelligence. Their platform applies AI and natural language processing to unlock insights from vast volumes of scientific data, supporting more efficient and informed drug discovery. The organisation is founder-led, mission-driven and entering an exciting phase of growth, with a highly experienced leadership team and a collaborative, ego-free culture.

The Role
As Senior Product Manager, you will take ownership of product strategy and roadmap definition, elevating product maturity and ensuring delivery of meaningful, real-world value for customers in pharmaceutical R and D. You will act as a senior voice within product, mentoring existing product managers while working closely with engineering, commercial and customer-facing teams.

Key responsibilities include:

  • Owning and evolving the product strategy and roadmap, aligned to business and commercial objectives
  • Refining product foundations, processes, tools and operating principles
  • Translating complex customer needs into clear, prioritised product opportunities
  • Partnering with engineering to connect product vision to technical delivery
  • Bringing a strong go-to-market mindset to product development
  • Tracking and optimising product performance against commercial KPIs
  • Supporting the development of future product iterations and new market opportunities

Your Skills and Experience

  • Strong end-to-end product management experience across the full product lifecycle
  • Proven ability to define and execute product strategy in a complex technology environment
  • Experience working with data, AI or advanced analytics products
  • Commercially minded, with exposure to go-to-market planning and execution
  • Comfortable operating in fast-paced, scaling environments
  • Able to mentor and uplift other product managers without formal line management
  • Excellent communication skills, with the ability to work effectively across technical and non-technical teams
  • Exposure to life sciences, pharma, biotech or adjacent sectors is beneficial but not essential

What They Offer

  • Salary of £105,000 plus benefits
  • Share options and company performance bonus
  • Enhanced maternity and paternity leave, plus strong sick leave provision
  • Remote-first working across the UK
  • Clear progression for someone aspiring to step into a Head of Product role
  • The chance to work on genuinely meaningful technology alongside world-class scientists and engineers

How to Apply
If you are a Senior Product Manager looking to take ownership of strategy, influence company direction and work on cutting-edge AI products in life sciences, please apply.

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Key skills

AI-extracted from the job advert

Must-have skills
Product management experienceProduct strategy developmentProduct lifecycle managementData/AI product experienceGo-to-market planningCommercial KPI trackingCross-functional collaboration
Nice-to-have
Life sciences exposurePharmaceutical industry knowledgeBiotech experienceSeries A scaling experienceNatural language processingDrug discovery domain knowledge
Soft skills
LeadershipCommunicationMentoringStrategic thinkingCommercial mindsetCollaborationAdaptability
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your AI/ML product management experience prominently as this role specifically requires managing AI-driven pharmaceutical research products

2

📊 Quantify your product impact: 'Led product strategy resulting in 40% user adoption increase and £2M ARR growth'

3

🧬 Emphasise any life sciences, pharma, or biotech exposure as the advert mentions this is beneficial for the role

4

🎯 Showcase your go-to-market experience since they're moving from foundations to commercial alignment

5

🤝 Demonstrate mentoring capabilities without formal management as you'll be supporting existing product managers

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Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Defined product strategy for AI-driven analytics platform serving 15 pharmaceutical clients, resulting in 60% user adoption increase and £3.2M ARR growth over 18 months
  • Led go-to-market planning for natural language processing product launch, achieving 85% customer satisfaction scores and securing 8 enterprise contracts within first quarter
  • Mentored 4 product managers across complex data science products, implementing standardised roadmap processes that reduced feature delivery time by 35%

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Dear Hiring Manager,

Your Series A AI platform transforming pharmaceutical research represents exactly the type of meaningful technology impact I want to drive in my next senior product role. My background in managing complex AI-driven products and developing go-to-market strategies aligns perfectly with your need to elevate product maturity while maintaining commercial focus.

My background in scaling data science products through Series A growth phases, combined with experience mentoring product teams and translating technical capabilities into market opportunities, positions me well to take ownership of your product strategy and roadmap definition whilst supporting your existing product managers.

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Interview questions

10 questions generated from this advert.

Technical

  • How would you approach product strategy for an AI-driven pharmaceutical research platform?
  • Describe your experience managing complex data science or AI products through the full lifecycle
  • How do you translate technical AI capabilities into commercial product opportunities?
  • What frameworks do you use for prioritising features in a complex technology environment?
  • How would you measure success for a natural language processing product in drug discovery?

Behavioural

  • Tell me about a time you mentored other product managers without formal authority
  • Describe a situation where you had to align product strategy with commercial objectives
  • Give an example of how you've worked with engineering teams to deliver complex technical products
  • Tell me about a time you had to translate complex customer needs into product requirements
  • Describe your experience working in a fast-paced, scaling technology environment
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you mentored other product managers without formal authority

At my previous Series A company, I was tasked with supporting 3 junior product managers who were struggling with roadmap prioritisation across our data analytics platform. I established weekly 1-on-1 coaching sessions and created a shared framework for evaluating feature requests against commercial impact and technical feasibility. I also introduced monthly cross-team reviews where each PM presented their strategy decisions for peer feedback. Within 4 months, the team's delivery confidence increased significantly, with feature delivery time improving by 40% and customer satisfaction scores rising from 72% to 89%. The framework I developed became the standard across the entire product organisation.
2Question

Describe a situation where you had to align product strategy with commercial objectives

When our AI platform was generating strong technical interest but limited revenue conversion, I conducted 25 customer interviews and discovered that whilst our core algorithm was impressive, users needed better reporting and integration capabilities to demonstrate ROI to their stakeholders. I restructured our roadmap to prioritise commercial features alongside technical advancement, introducing usage analytics dashboards and API integrations with popular enterprise tools. This shift resulted in our conversion rate improving from 15% to 43% over 6 months, with average contract values increasing by £18,000. The key was balancing technical innovation with practical business value that customers could easily articulate internally.

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