1 день назад
Senior AI Product Manager (SaaS)
96 000 - 103 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Product Manager (SaaS): Owning the discovery, definition, and delivery of customer-facing AI capabilities with an accent on model evaluation, data requirements, technical prototyping, security, and unit economics. Focus on analyzing codebases, building executable prototypes, defining quality thresholds and guardrails, and leading cross-functional delivery from concept through launch.
Location: London, United Kingdom; Workplace: Remote
Salary: £96,000–£103,000 GBP per year, plus bonus eligibility
Company
is a customer-centric learning technology company delivering visual and audio-based learning software for organizations.
What you will do
- Own customer-facing AI capabilities from discovery through delivery, including model behavior, data requirements, evaluation methods, quality, security, costs, and gross-margin impact.
- Develop product vision, strategy, and roadmaps based on customer needs, analytics, market context, and business outcomes.
- Analyze software codebases and build functional prototypes that provide Engineering with an executable starting point.
- Establish repeatable AI-driven workflows for discovery, prototyping, analysis, and delivery across the Product organization.
- Lead customer research, competitive analysis, structured discovery, execution planning, dependencies, risks, and milestones.
- Mentor product managers and support go-to-market teams with demonstrations, documentation, training, and technical expertise.
Requirements
- Bachelor’s degree and 8–10+ years of product management experience in SaaS or software environments, with a record of shipping products from concept through launch.
- Experience defining product vision and roadmaps and leading discovery across complex, multi-team initiatives.
- Ability to read and evaluate codebases, assess technical feasibility, and build functional prototypes using developer workflows such as Git.
- Practical experience managing AI capabilities, including data pipelines, model evaluations, and AI security guardrails.
- Strong customer research, competitive analysis, product analytics, stakeholder management, and structured discovery skills.
- Ability to travel minimally as required by business needs.
Nice to have
- Experience in EdTech, higher education, corporate L&D, video infrastructure, or platform integrations such as LMS, LTI, SSO, and APIs.
- Knowledge of enterprise SaaS metrics, subscription models, ARR, NRR, churn, and retention.
- Experience mentoring or coaching product managers.
Culture & Benefits
- Customer-first, outcome-oriented product culture focused on clear communication and continuous improvement.
- Collaboration with Product, R&D, go-to-market, and other cross-functional teams.
- Health insurance, flexible spending accounts, retirement savings, life and disability insurance.
- Paid and unpaid time away from work and bonus eligibility.
- Commitment to pay equity and transparent compensation.
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