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Senior Manager, Applied Science

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Kodamai Ltd
Full Time position
Listed on 2026-08-03
Job specializations:
  • Management
    IT Project Manager, Operations Management, Project & Program Management
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Kodamai is an innovative early-stage Glasgow start-up built on the proposition that we can build AIagents you can actually trust with real work. Not satisfied with agentic AI that is stitched together from scripts and hoped to behave, Kodamai uses formal methods (category theory, type theory, etc.) to create precise specifications for what an agent may do, and then constructs agents that provably meet those specifications.

Actions that fall outside the spec cannot be expressed, and each action carries evidence that it stayed within the rules it was given. That rigour is what makes our agents suitable for regulated,high-stakes settings like healthcare, manufacturing and finance. We pair original scientific research with ahands-on, high-trust team that ships — and we are growing fast. If you want work that is both deeply principled and actually deployed, this is the place for you.

Role Overview

We are looking for an exceptional Senior Manager to bring operational excellence to our Applied Science team  will work together with our science and product leadership to set technical and scientific roadmap for a team of applied scientists and research engineers and then have ownership for executing against that roadmap with on-time production-quality deliverables. You will own the day-to-day management of the team, driving delivery, sharpening processes, supporting career growth, and creating the structure and stability that let our scientists do their best work.

You will partner closely with our science leads, complementing their technical direction with the operational rigour and people leadership needed to scale a high-performing team.

You will collaborate closely with cross-functional teams, including research, engineering, product, andclient delivery, to coordinate priorities, align timelines, remove blockers, and ensure the team delivers reliably against its commitments. This is a senior, on-site leadership role based at our Glasgow headquarters.

Key Responsibilities
  • Provide hands-on people management for a team of applied scientists and research engineers—setting clear goals, running regular 1:1s, giving feedback, and owning performance and career development.
  • Own team planning and delivery, translating the science leadership's priorities into structured roadmaps, milestones, and clear ownership.
  • Drive projects from prototype through to production, coordinating people, timelines, and cross- team dependencies to ship reliably.
  • Establish and continuously improve the team's operating rhythm—planning, execution, code review, and delivery quality.
  • Partner with product, engineering, and client-delivery teams to identify high-impact opportunities and deliver measurable outcomes.
  • Represent the team's work to internal and external stakeholders, communicating complex scientific concepts clearly and persuasively.
  • Support recruitment, onboarding, and professional development to build and retain world-class scientific talent.
Qualifications and Requirements
  • Education & Experience
  • Degree in a technical or quantitative field (e.g. Computer Science, Engineering, Mathematics).
  • 7+ years in technology or applied science environments, with an emphasis on agentic AI or automated reasoning
  • 3+ years directly managing applied science teams, with clear ownership of people management, software process, and delivery.
  • Proven track record of managing teams that deliver complex technical projects meeting customer needs reliably, on time, and to a high standard.
  • Delivery and Operational Leadership
  • Run an effective operating rhythm across one or more teams: sprint/kanban cadences, planning, and predictable delivery.
  • Metrics-driven delivery: track and improve cycle time, lead time, deployment frequency, and error/quality rates.
  • Estimation and predictability: hit commitments consistently, and understand and address the causes when you do not.
  • Familiarity with scaling frameworks such as SAFe, or comparable models for coordinating delivery across teams.
  • Invest in developer experience: faster onboarding, reproducible environments, and golden paths — templates, scaffolding, and tooling that increase ship speed without rework.
  • Champion strong engineering practice:…
Position Requirements
10+ Years work experience
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