--- title: 'Senior Manager, Delivery at Altana' canonical: 'https://feeny.ai/job/senior-manager-delivery-altana-amsterdam-y2nbarybwkws' type: 'job' last_seen: '2026-10-19' --- # Senior Manager, Delivery at Altana - **Company:** Altana - **Location:** Amsterdam, Netherlands - **Work type:** remote - **Posted:** 2026-10-14 - **Last confirmed live:** 2026-10-19 - **Apply:** https://job-boards.greenhouse.io/altanaai/jobs/8034236003 ## Job description 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 workplace where people can thrive. And we are stewards of the greater good of the company. By holding ourselves and each other accountable, we build a culture of innovation and collective success that reflects the scale of our mission. - Courage: Courage is what unlocks the seemingly impossible for our customers. It’s the core value that drives us make bold moves and take on big, complicated network problems—the ones others avoid. We know success isn't guaranteed, but we have the audacious vision to believe a solution is possible and to build it. Courage fuels our growth mindset. It means embracing challenges that make us stronger, and it’s demonstrated by how we approach hard conversations and complex projects. At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation. Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process. ## About Altana ## Company Overview - **One-liner**: Altana provides an AI-powered network for trusted trade, connecting businesses and governments to manage, automate, and secure the global supply chain. - **Entity Type**: Private – Series C (raised $200M in July 2024, led by US Innovative Technology Fund) - **Headquarters**: New York (Brooklyn, NY), USA - **Founded**: 2018 - **Founders**: Evan Smith (CEO), Raphael Tehranian (COO), Peter Swartz (Chief Science Officer) ## Core Business - **Primary industries**: Supply chain intelligence, trade compliance, customs automation, government economic security - **Target customers**: B2B – enterprises (e.g., Boston Scientific, Maersk), logistics providers, and government agencies (U.S. Customs and Border Protection, UK Department of Business and Trade) - **Mission**: “Fix globalization” – build a more resilient, secure, and sustainable global economy while keeping trade flowing. ## Products & Services - **Altana Atlas (Platform)**: AI-powered knowledge graph of the global supply chain, covering 400 million companies and trillions of dollars in B2B commerce. Used for supply chain visibility, risk detection, and trade compliance. - **Product Passports**: Digital identifiers for products that trace the journey from raw materials to finished goods, enabling compliance with regulations such as UFLPA, EUDR, and forced labor screening. - **Trade & Tariffs Solution**: Automates tariff classification, duty optimization, and scenario planning. - **Supplier Management & Screening**: Monitors suppliers for sanctions, forced labor, and other risks. - **Government Solutions**: Tools for threat detection (narcotics, export control violations), trade policy enforcement, and customs process acceleration (8× faster customs processes reported). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Annual Revenue ≈ $45.6M (2025), Total Funding $323.5M across Series A–C, Grant, and Seed rounds - **Notable Investors/Partners**: Google Ventures (Series A lead), Activate Capital Partners (Series B lead), US Innovative Technology Fund (Series C lead), Amadeus Capital Partners (Seed). Partners include U.S. Customs and Border Protection (2,500+ daily users), UK Department of Business, Boston Scientific, General Atomics, L.L.Bean, Maersk. - **Growth Signals**: Headcount of 223 (+16.4% YoY); 42 active job postings (+27.3% monthly growth in postings); used by governments in US, UK, Australia, Singapore; $300M+ average duty savings identified for importers. ## Competitive Advantages - **World’s largest knowledge graph of global commerce** – network effects as more logistics providers and businesses contribute data. - **Dual footprint in private and public sectors** – deep government relationships (customs, homeland security) provide a moat in regulated trade compliance. - **AI-powered automation** – enables real-time risk screening, trade scenario planning, and product traceability that competitors struggle to match at scale. - **Leadership with deep domain expertise** – co-founders have backgrounds in supply chain, clean tech, and national security; CTO Ian Cadieu spent 15 years at Bridgewater Associates. ## Strategic Focus - Expand public sector deployments (counternarcotics, forced labor detection, export control) in allied nations. - Drive adoption of Product Passports for regulatory compliance (e.g., EU Deforestation Regulation, UFLPA). - Strengthen supply chain resilience offerings for enterprises, especially given tariff volatility and geopolitical risks. ## Why Work Here - **Mission-driven impact** – work directly on “fixing globalization,” national security, and sustainability at a company trusted by governments and Fortune 500 enterprises. - **Growth trajectory** – rapid headcount growth, continuous funding, and expanding product surface area suggest strong career advancement opportunities. - **Hybrid/office policy** – roles available in Brooklyn (HQ), San Francisco, Washington D.C., Boston, and Amsterdam; multiple engineering, product, sales, and implementation positions posted. - **Culture** – described as building a culture of inclusivity where employees can do their best work; leadership emphasizes collaboration across global trade, AI, and policy. - **Engineering focus** – heavy investment in ML, NLP, and large-scale data systems (world-scale knowledge graph); open roles include Lead BI Engineer, Senior Staff Software Engineer, and Principal Product Manager for Supply Chain Intelligence. ## Sources 1. [altana.ai](https://altana.ai/about) 2. [altana.ai/leadership](https://altana.ai/leadership) 3. [boards.greenhouse.io/altanaai](https://boards.greenhouse.io/altanaai) 4. [linkedin.com/company/altana-ai](https://www.linkedin.com/company/altana-ai) 5. 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