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AltexSoft
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Technical Program Manager, AI Transformation

AltexSoftEurope
Work model
Office
Experience
7+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
6 tags

Technology context

6

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Role description

About the role

AltexSoft is an AI-powered software engineering and consulting company. Our AI Practice is changing how the company builds and delivers software - AI-native by default. We're hiring a Technical Program Manager to own and drive a defined set of programs inside that direction: the initiatives that turn "AI-powered" from a claim into how we actually work.

Project

The overall AI direction is set by the Director of AI Practice - vision, strategy, commercial. Your job is different and sharply defined: you take a portfolio of key programs that contribute to that direction and you make them land. Not the whole transformation - a specific set of programs, each with an objective, a plan, owners, a cadence, and a deadline you're accountable for. You convert direction into executed work: break ambiguous strategic intent into OKRs, sequence it, pull the right people in, hold the rhythm, drive each program to a measurable outcome. You report to the Director of AI Practice and own how your programs get done and whether they land on time. Execution-ownership role - real authority over how the work runs, measured on outcomes not activity.

Responsibilities

  • Own a defined set of AI programs end to end - from framing the objective to a measurable, demonstrable result.
  • For each: define the outcome, break it into OKRs, sequence the work, assign owners, set cadence, track to done. -
  • Drive AI-native SDLC adoption inside your programs - audit current practice, design rollout, prove real behavior change (engineers working differently, not licenses handed out).
  • Design and run the operating rhythm: status, weekly roll-ups, risk/blocker surfacing, deadlines that hold.
  • Coordinate the people your programs depend on - engineers, solution architects, auditors, delivery leads - most of whom don't report to you.
  • Triage technical resistance. Resolve the routine ~90% yourself with a credible technical answer; escalate only the rare hard architecture calls.
  • Feed portfolio-level signal upward: what's working, what's stuck, where a direction-level decision is needed.
  • Keep programs honest - separate real adoption from theater, and measure the difference.

Requirements

Technical background you'll need

Software delivery - deep working grasp of the SDLC end to end (requirements → design → implementation → review → QA → CI/CD → release → maintenance) and how AI changes each stage; version control, PR review, test automation, CI/CD - enough to know what an AI-SDLC audit measures and what "good" looks like.

How AI and LLMs work - conceptual grasp at a working level: tokens and context windows, prompting and in-context learning, why models hallucinate and where they're unreliable, determinism and evaluation. Know real capabilities and limits; you don't train models.

Agentic systems and AI-SDLC tooling - tool/function calling, RAG, orchestration, MCP, guardrails and evals; the AI coding assistants engineers use daily. Enough to tell genuine acceleration from risk and hold your own when an engineer says "the model can't do that."

Must-have -

  • Ran complex multi-team programs end-to-end as executor
  • Deep SDLC + modern-eng-practice understanding \
  • Solid conceptual grasp of AI/LLMs/agentic systems
  • Execution discipline (metrics/tracking/deadlines that stick)
  • Proven change management through non-reports
  • Structural thinker who turns direction into OKRs
  • Strong negotiation across engineering/delivery/leadership - hands-on with modern AI tooling, recent and real

Nice to have

  • Mid-to-large software-services/consulting background
  • Prior engineering/tech-lead/architect role
  • Stood up an audit/assessment program across teams
  • Hands-on with Cursor/Claude/Copilot/MCP/RAG
  • Travel/hospitality domain
  • Recent demonstrated AI-engineering learning.

Work-life Balance

  • Possibility to work remotely

Health Care

  • Reimbursement of medical expenses
  • Online morning exercise

Education

  • Compensation for trainings, seminars, conferences
  • Free access to the Pluralsight and ACloudGuru knowledge base
  • Access to the AltexSoft library with top-notch materials
  • A mentor for a probation period
  • Engagement in our Mentorship Hub program as a mentor or a mentee to foster professional growth and development

Development

  • Horizontally - master new technologies at internal courses
  • Vertically - choose your own career path through Competency trees

Recognition Program

  • All your activities are marked by points that can be exchanged for gifts to fit any taste.