Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
As a Deployment Strategist, you are the owner of the customer's problem and the value we promise to deliver. You are the bridge between a customer's business objective and our technical delivery team, accountable for the "why" and the "what", while Solution Architects and Data Engineers own the "how".
You will work with senior customer stakeholders to scope value, define pilots and releases, steer delivery through to go-live, and drive adoption so that value is actually realized after launch. You combine the discipline of a program manager with the product thinking of a field product owner, and you are as comfortable in a steering committee as you are in a working session with plant engineers.
This is a hands-on role. You are expected to shape the engagement, not just report on it.
What You'll DoScope and define value
- Partner with Revenue to run discovery, map stakeholders, and translate business problems into a clearly scoped engagement (outcomes, MVP, success criteria, timeline, commercial boundaries).
- Build value cases and success metrics with the customer, and keep them visible throughout delivery.
- Define what "done" and "valuable" mean for each release, and manage scope against them.
Own delivery outcomes
- Lead engagements end to end, from kickoff through go-live, using an iterative, continuous-delivery approach.
- Prioritize the backlog with the customer and the delivery team, and make trade-off decisions on scope, timeline, and quality.
- Manage risk, dependencies, and escalations across customer, partner, and internal teams, and unblock technical and political issues early.
- Own delivery health: plan, margin, forecast, resourcing needs, and status reporting.
Drive adoption and value realization
- Own the path from go-live to measurable usage: adoption plans, enablement and training, user feedback loops, and health indicators.
- Identify blockers to adoption and expansion signals early, and act on them with the account team.
- Prepare a clean handoff to the long-term run and support model.
Lead with partners and the team
- Coordinate delivery with system integrator and partner teams, and protect clear accountability and contract boundaries.
- Guide Solution Architects, Data Engineers, and Data Scientists in the engagement, and coach junior colleagues.
- Contribute to the Value Delivery playbook: lessons learned, reusable templates, and delivery standards.
Feed the product
- Turn field insight into structured product feedback for Product and Engineering.
- Use AI tooling in your own work (analysis, documentation, reporting, prototyping) and help the team raise its standard.
Must have
- 5+ years of experience in customer-facing delivery, program management or technical advisory for enterprise software or data/AI platforms.
- A track record of owning complex, ambiguous engagements through to measurable customer outcomes.
- Comfort with technical subject matter (data platforms, integration, cloud, analytics, or AI/ML). You do not need to build the solution, but you must understand it well enough to scope it and challenge it.
- Executive-level communication: you can present, negotiate, and make decisions with senior customer stakeholders and with delivery engineers on the same day.
- Strong command of agile and iterative delivery, backlog prioritisation, and scope management.
- Fluent English and ideally French
- Willingness to travel to customer sites up to 50%.
Nice to have
- Experience in industrial sectors (energy, oil and gas, chemicals, pharma, manufacturing, utilities).
- Experience with value-based scoping (ROI/TCO) and authoring product requirements or solution specifications.
- Experience working in multi-vendor delivery models with system integrators.
- Exposure to industrial data, knowledge graphs, or operational technology environments.
- Experience in a high-growth software company or a "builder" role in a startup.
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Skills Required
- Bachelor's degree in Engineering, Computer Science, or a related technical discipline
- 5+ years of experience delivering complex software, SaaS, cloud, or enterprise technology implementation projects
- Experience managing enterprise or industrial digital transformation programs involving multiple stakeholders and technical workstreams
- Technical fluency with APIs, integrations, cloud platforms, data architecture, and enterprise systems
- Strong commercial and financial acumen, including forecasting, revenue recognition, margin management, and project profitability
- Experience in an industrial sector such as Energy, Manufacturing, Oil and Gas, Chemicals, Utilities, Power and Renewables, or Life Sciences
- Experience with Agile delivery methodologies and project governance frameworks such as Scrum, PMP, or PRINCE2
- Excellent communication and stakeholder management skills
- Experience using Jira, Confluence, Microsoft Project, or Smartsheet
- Willingness to travel up to 25%
- Fluent French language skills
- PMP, PRINCE2, Agile, or Scrum certification
- Experience with Azure or AWS
- Experience with Industrial IoT, SCADA, MES, or Operational Technology environments
- Experience delivering AI, Machine Learning, Data Engineering, or Analytics implementation projects
Cognite Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognite and has not been reviewed or approved by Cognite.
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Affordable Benefits — Healthcare premiums for employees and dependents are often fully covered, reducing out‑of‑pocket costs. Feedback suggests this makes the total rewards feel competitive in key markets.
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Parental & Family Support — Paid parental leave for primary and secondary caregivers is described as generous. This signals a family‑friendly approach that many consider a standout perk.
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Leave & Time Off Breadth — Unlimited PTO with a company‑wide year‑end shutdown offers ample time away from work. Flexible time‑off options are consistently highlighted across U.S. roles.
Cognite Insights
What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies. We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis. We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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