Project Manager

About the Role

We're hiring a Project Manager to own the end-to-end success of our customer engagements — from first technical workshop through production deployment and expansion. You'll be the strategic counterpart to our Forward-Deployed Engineers: while they build the agentic applications, you architect the engagement, manage the relationship, and make sure the solution actually lands and creates value inside the customer's organization.

This is a customer-facing role for someone who can hold a credible technical conversation about agentic AI, cognitive ontologies, and industrial applications, while also driving timelines, mitigating risk, and growing accounts.

Responsibilities

• Own the customer engagement lifecycle: discovery, scoping, planning, execution, validation, and expansion across multiple accounts.

• Translate customer business goals into clear problem statements, solution scopes, and milestone plans that FDEs can execute against.

• Partner with FDEs on solution design — making trade-offs on scope, timeline, and architectural complexity to maximize business impact.

• Run workshops, design sessions, and milestone reviews with customer engineering and domain teams.

• Track project health (scope, schedule, risks, blockers) and proactively course-correct before issues escalate.

• Drive adoption: equip customer teams with training, documentation, and the operating cadence needed to use our platform independently.

• Surface platform gaps, customer patterns, and expansion opportunities back to product and leadership.

• Develop reusable engagement playbooks, templates, and best practices that scale across accounts.

Requirements

• 7 – 10 years in a customer-facing role at a technical/AI/ML company — Technical Project Manager, Solutions Manager, Technical Account Manager, or Customer Success Manager with project ownership.

• Track record of leading complex AI or software implementations from kickoff to production in enterprise environments.

• Working fluency in AI/ML concepts: agent architectures, LLMs, model deployment, data pipelines. You don't need to write the code, but you need to lead the technical conversation credibly.

• Strong project management fundamentals: scoping, planning, risk management, stakeholder communication, status reporting.

• Excellent written and verbal communication in English — comfortable presenting to customer executives and engineering leads.

• Comfort with ambiguity and structured engagement cycles across multiple concurrent accounts.

Nice to Have

• Industrial AI exposure (manufacturing, energy, semiconductors, heavy industry) and an understanding of operational/domain constraints.

• Hands-on experience with Python, AI/ML frameworks, or cloud platforms (AWS/GCP/Azure).

• Experience growing accounts — converting successful pilots into expanded production deployments.

• Background in startups or fast-moving technical environments.

• Master's degree in Computer Science, Engineering, Physics, or a related discipline (we equally value strong relevant experience over credentials).

Who You Are

• A strategic operator who can hold the customer relationship, the project plan, and the technical context in one head.

• Equally comfortable in a CTO conversation, a sprint review, and a deployment troubleshooting session.

• A builder of repeatable systems — you turn one successful engagement into a playbook for the next ten.

• Calm under ambiguity. You ask the question that unblocks the room.

Why You'll Love Working Here

• Attractive compensation commensurate with impact.

• Overseas travel opportunities for training and customer work, with exposure to international projects.

• An employee-centric culture that gives you the tools and resources to excel and grow your career.

• A collaborative environment that values teamwork, knowledge sharing, and innovation.

• $10 daily lunch allowance.

• Fun team activities and outings.