Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 1 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Nov 2025) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 1 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Nov 2025) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
What Cognite is: Relentless to achieve
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.
About the Role
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 Do
Scope 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.
What You Bring
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
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