Why This Job is Featured on The SaaS Jobs
This Solutions Engineer role sits at a core junction in the SaaS ecosystem: turning a platform API into real, production-grade customer outcomes. With a focus on startups building generative AI products, the work reflects a modern platform SaaS motion where adoption depends on technical credibility, safe deployment patterns, and tight feedback loops from the field back into product.
For a long-term SaaS career, the position offers a strong blend of customer-facing engineering and product influence. It builds fluency in how developers evaluate platforms, how technical decision-makers de-risk new capabilities, and how repeatable enablement assets like playbooks, reference apps, and workshops become part of a scalable go-to-market system. The explicit connection to internal Product and Research also signals exposure to roadmap shaping through structured, high-fidelity feedback, a valuable skill in platform companies.
The role is best suited to professionals who enjoy context switching between deep technical problem solving and clear stakeholder communication. It will fit someone who likes operating with founders and small technical teams, translating ambiguous use cases into deployable architectures, and taking ownership of outcomes across multiple parallel engagements in an office-centered, hybrid cadence.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the team
The Solutions Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, partnering directly with founders and technical teams to design, build, and scale new AI products on OpenAI.
About the Role
We are seeking a technically proficient, product‑minded Solutions Engineer to help push the frontier of advanced AI with our startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Architecture, Applied Research, and Product teams, and you will report to the Startups Solutions Engineering Lead.
This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Partner closely with startups as their technical thought partner to build novel applications on our API, helping them move rapidly from initial concept to production at scale.
Create and deliver repeatable guidance for the broader startup ecosystem by publishing best practices, sample apps, deployment patterns, and technical playbooks, and by leading workshops, office hours, hackathons, and founder roundtables.
Collaborate with Product and Research to ensure our models and platform continue to deliver frontier-level performance on real startup workloads.
Synthesize high-fidelity product and model feedback from a broad portfolio of startups and translate it into clear, prioritized requirements that shape our roadmap.
You’ll thrive in this role if you:
Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.
Have passion for startups and a belief in their potential to become future large enterprises.
Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.
Built and/or delivered prototypes on top of our API platform.
Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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