Staff Product Engineer, Enterprise AI

What you bring

• 10+ years of professional software engineering experience, including significant experience building and shipping production applications with Staff-level scope, leadership, and impact.
• Strong full-stack engineering skills, with the ability to work across user interfaces, APIs, services, integrations, data flows, and infrastructure-adjacent areas.
• Demonstrated experience owning complex product features from technical planning through implementation, launch, evaluation, and iteration.
• Experience building AI-enabled products or features, with practical familiarity in LLMs, RAG, agents, model/provider abstraction, data connectors, retrieval systems, or AI application architecture.
• Practical experience evaluating and using multiple AI tools, models, frameworks, or development harnesses, with the ability to explain tradeoffs, limitations, and preferred tooling choices.
• Experience working with open-source enterprise products, developer tools, infrastructure products, platform products, or technically complex enterprise software.
• Strong product judgment, including the ability to translate product direction, user feedback, partner input, customer needs, and product signals into practical technical plans and follow-up iterations.
• Comfort operating independently in a fast-changing product environment where product direction, technical architecture, and enterprise requirements are still being defined.
• Strong understanding of software quality, testing, maintainability, security, performance, reliability, and implementation tradeoffs.
• Strong collaboration and communication skills across engineering, product, design, open-source, and customer- or partner-facing stakeholders.
• Awareness of enterprise software needs, including privacy, security, administration, access control, compliance, deployment flexibility, supportability, and responsible AI considerations.
• Bonus points for
• Experience with self-hosted, hybrid, customer-controlled, or regulated deployment environments.
• Familiarity with regulatory or compliance considerations affecting AI and enterprise software, such as the EU AI Act, Cyber Resilience Act, GDPR, HIPAA, SOC 2, or similar frameworks.
• Experience working with enterprise customers, public sector organizations, systems integrators, technical partners, or customer-facing engineering teams.
• Experience contributing to reusable product patterns, component libraries, technical frameworks, or shared engineering practices.
• Experience with instrumentation, observability, experimentation, or other approaches to understanding product adoption, reliability, and value.
• What success looks like
• In this role, success means helping Thunderbolt turn ambiguous product ideas, technical direction, user needs, and enterprise requirements into complete product capabilities that are usable, reliable, maintainable, and valuable. You will help the team move quickly while also building the patterns, feedback loops, and product quality needed for Thunderbolt to scale as both an open-source product and an enterprise-ready platform.
• Over time, successful work in this role will lead to:
• Shipped features that solve real user, partner, and enterprise needs.
• Stronger full-stack product capabilities across AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows.
• Clearer technical plans that translate product direction and enterprise requirements into executable work.
• Better post-launch understanding of whether features are being used, working as intended, and creating value.
• More reusable product and engineering patterns that help future features move faster.
• Fewer product gaps, edge cases, and technical risks discovered late in development.
• Stronger alignment between product, design, engineering, enterprise-facing teams, and open-source contributors.
• Greater confidence that Thunderbolt features are secure, maintainable, supportable, and ready for enterprise use.
• Work environment
• You’ll work with our passionate staff and open-source community members from all over the globe to support the mission and objectives of MZLA Technologies Corporation. In this role, you’ll also collaborate closely with engineering, product, design, enterprise-facing teams, contractors, and external contributors working on Thunderbolt.
• This is a remote, full-time position. Strong communication and documentation skills are essential for effective collaboration across time zones and disciplines.
• Compensation & benefits
• We benchmark our base salaries to local markets and target the 60th percentile of the peer market. The salary ranges for this role are:
• US: $185,000 - $220,000 USD
• We may consider candidates with strong skills but less than the required experience. Title, level and compensation will be determined based on qualifications and experience.
• In addition to competitive salaries, we offer a comprehensive benefits package designed to support your whole self.
• Work & career
• Fully remote work & schedule flexibility
• Company-provided laptop
• Annual bonus program
• Monthly remote work stipend
• Annual professional development stipend
• Access to Coursera learning platform
• Industry conferences
• Company all-hands and team gatherings
• Rest & play
• 24 days PTO per year (prorated)
• Your birthday
• Year-end company shutdown
• 9 wellbeing days
• Public holidays
• Other paid leave
• Quarterly wellbeing stipend for personal / family activities
• Health & family
• 401(k) contributions
• Health, dental, & vision insurance
• Disability insurance
• Life insurance
• Employee assistance program
• Paid parental leave
• Paid sick days
• Work eligibility
• Applicants must reside in and have permanent work authorization for the country location(s) specified in the posting. We are unable to consider applicants outside of these markets at this time. And, we do not provide visa sponsorship.
• How to apply
• Please apply directly through our career page. We carefully review every cover letter and screening question, so take the time to answer each fully. We value authentic, thoughtful responses that reflect your own experience and perspective. It is fine to use AI tools to polish your writing, but your answers should be your own. Candidates who submit generic or unoriginal AI-generated responses may be disqualified from further consideration.
• Our commitment to diversity, equity, and inclusion
• MZLA believes in the value of diverse creative practices and forms of knowledge, and knows diversity, equity and inclusion are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
• We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. MZLA will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
• We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodations@thunderbird.net to request accommodation.
• #LI-DNI