General Manager – AI Business Unit

Lifebit

General Manager launching and scaling Lifebit’s enterprise AI product line. Owning commercial strategy, product outcomes, pricing, sales, and team leadership for healthcare and life sciences customers.

Posted 9/4/2026full-timeRemote • 🇬🇧 United KingdomSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and leading a commercial team focused on AI product lines, with a strong emphasis on achieving revenue and product uptake targets in the healthcare and life sciences sectors. Proven ability to define go-to-market strategies and close enterprise deals while operating autonomously in dynamic environments.

Highest-signal resume keywords

10+ Years ExperienceCommercial Targets OwnershipProduct Launch and ScalingEnterprise Deal ClosingBiomedical Research Acumen

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go-To-Market StrategyPipeline ManagementForecastingDeal GovernanceProduct-Led Growth Strategies

Soft Skills

LeadershipAutonomyAdaptability

Certifications & Qualifications

Right to Work in the UKDisclosure and Barring Service (DBS) Check

Industry Keywords

HealthcareLife SciencesBiomedical ResearchGeneticsBioinformatics

About the role

Key responsibilities & impact

Build and run a new AI product line as a standalone business unit
Own product sales, marketing and pricing, including the teams supporting each function
Own the unit's commercial and product outcomes, including revenue and product uptake targets
Define and execute the go-to-market strategy for a new enterprise AI product line
Recruit, structure and lead the business unit team
Set the commercial operating cadence, including pipeline management, forecasting and deal governance
Work with engineering and product leadership to align the roadmap with commercial demand
Report directly to the CEO on business unit performance
Take the product to enterprise customers in healthcare and life sciences

Requirements

What you’ll need

10+ years of experience
Direct ownership of commercial targets in healthcare or life sciences software
Experience launching products from zero to one and scaling them commercially
Experience closing enterprise deals in excess of $300k
Experience building and managing a commercial team and product-led growth strategies
Ability to operate with high autonomy in an ambiguous, fast-moving environment
Biomedical research acumen is a significant plus; experience in genetics, biomedical research, or Bioinformatics preferred
Passion for the biomedical research field is essential
Must have the right to work in the UK
Subject to a standard Disclosure and Barring Service (DBS) check

Benefits

Comp & perks

Performance-based bonus
Equity
Up to £10,000 and 10 dedicated days per year for qualified AI-related professional development
Annual personal development budget of £1,000 for conferences, training, certifications and personal wellbeing
Home-office stipend
Day One access to paternity and unpaid parental leave
25 days of annual leave plus bank holidays
Flexible hours
Two additional days of annual leave for parents
Comprehensive benefits and support for health and well-being
Fully remote model with asynchronous communication, virtual workshops and occasional off-sites