Senior Manager, Delivery

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing.

The Opportunity at Altana

The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side.

We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team.

You Will

Lead and grow a team of AI Deployment Engineers

Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers

Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals

Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once

Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room

Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production

Own the mission across your portfolio

Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side

Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit calls about what ships now versus later

Define what success looks like for each engagement in measurable terms, and hold the team accountable to it

Step into the hardest implementations yourself when they need senior technical judgment or a steady hand with the customer

Set the technical bar for agentic deployment

Define the team’s standards for designing, deploying, and operating agentic AI systems — prompts, evaluations, tool integrations, guardrails, orchestration, and human-in-the-loop controls

Review and raise the quality of agent designs and deployments across reliability, safety, auditability, cost, and latency in real customer environments

Stay hands-on enough to review what the team ships, unblock deep technical problems, and hold a credible conversation with Altana’s engineering and data science teams

Codify what works into repeatable patterns so each deployment is faster and safer than the last

Engage customers as a senior technical partner

Serve as the senior technical relationship owner across your accounts — from analyst to executive — and the escalation point when implementations get hard

Translate ambiguous business problems into agentic solutions, and set realistic expectations on timeline, scope, and what AI can and can’t do reliably today

Represent customer constraints faithfully back to Altana, and platform and data-quality realities credibly back to the customer

Coordinate across internal teams

Orchestrate engineering, data science, product, and customer success behind your team’s implementations, keeping everyone aligned on a single plan

Escalate and unblock precisely: identify what only another team can solve, make the ask, and own it to resolution

Feed field learning back into the product organization — patterns across customers, recurring friction, and gaps worth building into the platform

You Have

8+ years in customer-facing technical delivery, including 2+ years leading engineers or technical delivery teams — implementation, solutions/forward-deployed engineering, professional services, technical program management, or engineering management

A track record of building and growing high-performing technical teams that ship complex work for external stakeholders, on real deadlines, with real consequences

A player-coach mindset: you lead the team and can still go deep technically when it matters

Strong communicator and coordinator at every altitude — you can coach an engineer, run an executive conversation, and drive internal alignment across three teams in the same day

Product and portfolio instincts — you prioritize across competing demands and say no, or “not yet,” with a defensible rationale

Comfortable with ambiguity and accountable for outcomes before the picture is complete

Bias toward automation, standards, and repeatability over heroics

Technical competencies we expect

Enough hands-on depth to set the bar: you’ve built or deployed agentic AI systems yourself — LLM-powered agents, tool and function calling, retrieval-augmented generation, or multi-agent orchestration — and can review what your team produces

Fluency in prompt engineering and agent evaluation, and the judgment to know when an agentic system is reliable enough for production

Working proficiency in Python or a comparable language, and comfort with SQL, APIs (REST, Swagger/OpenAPI), Git-based workflows, and cloud-hosted systems

Practical experience with AI-assisted coding tools (Claude Code, Cursor, Copilot, or similar) and with agent frameworks and protocols (MCP, LangChain, or similar)

Enough understanding of data pipelines, data modeling, and ML systems to scope work, diagnose issues, and hold a credible conversation with the engineers who build them

Nice to Have

Experience with global trade, supply chain, customs, or trade compliance

Experience scaling a delivery, professional services, or forward-deployed engineering team

Background in enterprise software implementation at scale (multi-stakeholder, multi-quarter programs)

Formal product management experience — roadmaps, specs, stakeholder prioritization

Technologies in Our Environment

Languages: Python, SQL, Spark

AI tooling: Claude Code and other AI-assisted development tools, used daily

Agentic AI: LLM agents, tool and function calling, MCP, retrieval-augmented generation, and agent orchestration frameworks

Platform & infrastructure: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure

Datastores: Databricks, Elasticsearch, Postgres, Redshift

This role is based in Amsterdam, with flexibility to travel onsite to customer locations.

Our Values

Our values are the core beliefs that shape who we are, what we stand for, and how we behave.They form the foundation of Altana’s culture and integrity and guide how we hire, design, build, and connect with each other and our customers.

Trust: Our customers and partners entrust us with missions of the highest importance. We honor that by keeping our word, meeting commitments, and ensuring every action we take reinforces confidence in us. We rely on each other to deliver, to speak openly, and to hold ourselves accountable.

Resilience: In a world of uncertainty and complexity, our work must withstand challenges, evolve with conditions, and ensure reliability over time. Resilience is both how we operate and what we deliver. It’s how we respond when things don’t go to plan –– we adapt, we support each other, and we keep moving forward.

Stewardship: We are stewards of every mission we touch. Because our work impacts lives and futures, we hold ourselves accountable to delivering mission impact and never compromising. Our responsibility extends beyond individual projects to the broader system of global trade. We believe that stewardship starts from within so that we can bring focus, creativity, and excellence to our work. Each of us is personally responsible for fostering a w