Openai Remote Jobs in Seattle, WA (NOW HIRING)

****Something new just launched at DoiT — and now we can talk about it.****

Meet Attribute™: AI tokenomics without tags, SDKs, or code changes. A lightweight eBPF sensor installs in 15 minutes and starts producing per-customer, per-feature, and per-agent token economics the same day. No instrumentation. No tagging policy. No engineering lift.

The problem it solves is real and measurable. In DoiT's survey of 500 finance and technology leaders, only 15% said they could calculate AI ROI without significant bottlenecks — and 79% experienced AI-related cost overruns in the past 12 months. AI spend is tripling. Visibility isn't keeping up. Attribute™ fixes that, at the kernel level, with nothing to instrument.

We've established product-market fit. The early customer conversations are unusually good. Now we're building the founding sales team to take it to market across North America and EMEA.

If you've ever wanted to be employee number something-small on a product that actually moves the category, this is that role.

Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state — from planning to production.

Delivering Cloud Intelligence™, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. 700 people, 40+ countries, zero offices. The best idea wins regardless of timezone.

The Opportunity
This is a seller role on Attribute™ - a brand-new product line inside DoiT that solves one of the hardest unsolved problems in FinOps: knowing exactly where AI money is actually being spent.

Until now, attributing AI spend meant instrumenting it. Engineering teams wrapped every model call in an SDK, threaded metadata through every request, or enforced tagging standards that shared GPUs and single-account model APIs were defeated by design. Attribute™ takes the opposite approach: it measures what actually runs. The sensor observes real consumption at the OS kernel and maps every unit of GPU, CPU, API call, memory, network, and I/O back to the process, container, pod, and request responsible — including outbound calls to Anthropic, OpenAI, Google Gemini, and AWS Bedrock. Cached, reasoning, input, and output tokens are split automatically. The result is token economics that holds up to audit, with zero engineering effort to produce or maintain.

You'll help shape the pitch, not inherit one. You'll write the playbook with us, take it into customer conversations the same week, and feed everything back into product, marketing, and pricing. The accounts you land in the first six months become the references that define the category.

You'll own full-cycle deal execution across Startup, Digital Native, and Enterprise segments — finding the right prospects, running compelling solution pitches, navigating technical objections alongside our engineers, and closing complex partnerships end to end.

You'll have the rest of the Cloud Intelligence portfolio behind you: 4,500 customers, AWS/Google Cloud/Azure partnerships, and Forward Deployed Engineers who solve problems other vendors walk away from. But the product you'll carry every day is Attribute™, and the market is only just learning it exists. That's the opportunity.

Expect to travel 10–15% of the time to meet customers, engage with hyperscaler teams, and show up at industry events that matter.

• Own the full sales cycle from first conversation to closed deal, consistently hitting and exceeding quota and pipeline targets
• Help define the North America go-to-market motion for Attribute by DoiT - ICP, messaging, objection handling, pricing posture, all of it
• Build the first wave of reference customers and case studies the rest of the GTM org will run on
• Develop and execute a regional strategy that identifies high-growth opportunities and untapped markets across North America
• Build deep, mutually valuable relationships with AWS Sales Leaders and Partner Managers to co-sell and expand market share
• Partner with Forward Deployed Engineers and Solutions Architects to solve the toughest technical challenges prospects face
• Maintain rigorous forecast accuracy in Salesforce and ensure every proposal reflects the quality of what we actually deliver
• Guide customers from initial curiosity through contract execution, setting them up for a world-class onboarding experience
• Feed real customer signal back to product and marketing every week — in a founding team, that loop is the job
• Generate your own pipeline through prospecting, networking, and creative outreach — not just working what's handed to you