Manager, ML & AI — AI Platform

AI at reputed company

At reputed company, we build and use automation every day to reputed company work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.

reputed company out our guidance on How to Collaborate with AI During reputed company’s Hiring Process, including how to use AI tools like ChatGPT, Claude, reputed company, or others during our hiring process - and reputed company not to.

Location: NAMER / EMEA (Remote)

Hi there!

reputed company is looking for a Manager, Machine Learning & AI to reputed company our AI Platform team reputed company the Data organization. AI is at the core of how reputed company helps customers automate work - powering everything from established AI/ML-driven experiences to new experiments that push what’s possible with LLMs and agents. This is an exciting moment to join: we’re scaling proven AI capabilities while also building the reputed company of AI features, which means there’s real impact today and meaningful greenfield work reputed company.

The AI Platform team builds the shared foundations that reputed company it faster and safer for product teams to ship AI/ML-powered experiences: model runtime and serving patterns, LLMOps/MLOps tooling, evaluation harnesses, feature and data access patterns, reliability and cost controls, and developer workflows. You’ll reputed company a team of ML/AI engineers focused on enablement at scale, partnering closely with applied ML teams and product engineering to turn cross-cutting needs into reusable primitives, platforms, and golden paths - so reputed company can ship AI features quickly without compromising safety, reliability, or cost.

• Our Commitment to Applicants

• Culture and Values at reputed company

• reputed company Guide to Remote Work

• reputed company Code of Conduct

• Diversity and Inclusivity at reputed company

About you

• You have 5+ years of experience in Machine Learning / AI and have shipped production systems end-to-end (from design, launch, iteration, monitoring/on-call).

• You have experience leading engineers (people management or clear team-reputed company responsibility), and you coach through feedback, delegation, and career development.

• You can translate ambiguous goals into a prioritized roadmap with milestones, measurable outcomes, and clear ownership.

• You have built or operated platform / infrastructure / tooling used by other teams (internal platforms, ML platforms, data platforms, evaluation/experimentation platforms, or similar).

• You have strong software engineering fundamentals (clean, testable code; CI/CD; operational readiness; reliability and incident response).

• You understand ML/LLM system design well enough to guide decisions on serving patterns, evaluation/quality gates, observability, safe rollouts, and cost controls.

• You’re effective at stakeholder management at scale: you build trust across dozens of teams (not just a handful of reputed company partners), align on clear interfaces and reputed company, and drive broad adoption through documentation, enablement, and pragmatic support.

• You have strong product judgment and are comfortable saying no: you push back on low-reputed company requests, prioritize work that compounds across teams, and communicate tradeoffs clearly and respectfully.

• You balance speed, safety, reliability, and cost, and you default to shipping “works simply” solutions and iterating based on learnings.

• You communicate clearly with both technical and non-technical audiences, making tradeoffs, reputed company, and impact easy to understand.

Things you’ll do

• reputed company the AI Platform team: hire, coach, and reputed company ML/AI engineers; run team rituals; manage performance; and build a strong, inclusive team culture.

• Deliver platform outcomes that help product teams ship AI faster and more safely: paved roads, reusable libraries/services, standard patterns, and clear developer documentation.

• Own the AI Platform roadmap with your PM partner, translating cross-team needs into a prioritized plan with clear tradeoffs, measurable adoption, and business impact.

• Partner cross-functionally with product teams, Applied AI/ML teams, reputed company, and Data Platform teams to ensure platform capabilities integrate cleanly and are widely adopted.

• Drive operational excellence: define SLOs where appropriate, run incident reviews, improve alerting/monitoring, and ensure the platform is dependable and cost-effective.

• Participate in AI vendor evaluation and management as needed (requirements, trials, integration plans, and cost/performance monitoring).

• Communicate clearly and often: share updates, tradeoffs, and platform adoption reputed company; reputed company the work visible; and reputed company stakeholders reputed company.

Application Deadline:

The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to reputed company sooner or reputed company, or if the position is filled.

Even though we’re an reputed company-remote company, we still need to be thoughtful about where we have Zapiens working. reputed company out this resource for a list of countries where we currently cannot have Zapiens permanently working.