This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, AI Enablement based in United States.
The Staff Software Engineer, AI Enablement will help shape how an organization learns, adopts, and scales AI-native ways of working across its engineering and business teams.
This high-impact role sits at the intersection of software engineering, AI platform strategy, product thinking, and organizational enablement.
You will embed with teams to understand real workflows, identify opportunities, and translate those insights into reusable platform capabilities and technical investments.
The role requires both strategic influence and hands-on technical leadership, with responsibility for initiatives that span multiple teams and functional areas.
You will help establish scalable adoption models, measure the impact of AI initiatives, and ensure responsible practices are built into how AI is used.
This is an opportunity to influence engineering direction at scale while mentoring technical leaders and creating capabilities that compound across the organization.
Accountabilities:
- Define and establish a practical approach for discovering, adopting, and scaling AI-native ways of working across teams, helping employees incorporate AI effectively into their day-to-day workflows.
- Lead strategic embedded engagements that connect organizational priorities, real-world user workflows, experimentation, and the reusable capabilities that should be developed within the AI platform.
- Translate patterns and insights gathered from teams into platform strategy, architecture, technical roadmaps, and investments that create scalable value rather than isolated solutions.
- Design scalable engagement, enablement, and adoption models that allow more teams to learn and implement AI capabilities efficiently while reducing duplicated effort.
- Partner with engineering and business leaders to align on opportunities, technical and organizational tradeoffs, expected outcomes, and responsible approaches to AI adoption.
- Unblock complex, multi-team initiatives by establishing clear decision-making frameworks, aligning stakeholders, and developing meaningful measures for evaluating whether AI adoption is improving how teams operate.
- Provide technical leadership and mentorship to engineers and emerging technical leaders, promoting systems thinking, user-centered problem solving, and strong engineering practices beyond an immediate team.
Requirements:
- 7+ years of professional software engineering experience, with a demonstrated ability to operate effectively on complex technical initiatives.
- 3+ years of experience leading software teams or major technical initiatives, with a track record of influencing direction and delivering meaningful outcomes across multiple teams or a significant functional domain.
- Deep fluency with modern AI tools, technologies, and application patterns, combined with sound judgment regarding their responsible, scalable, and practical use.
- Strong product thinking, systems-thinking, and problem-framing abilities, particularly when working through ambiguous problems involving multiple technical and business stakeholders.
- Proven experience translating user needs, experimentation, and operational insights into reusable products, platforms, technical capabilities, or operating models.
- Ability to align senior technical and business stakeholders, facilitate cross-functional decisions, and explain complex AI concepts clearly to both technical and non-technical audiences.
- A strong record of identifying strategic technical investments, unblocking large or ambiguous initiatives, and creating impact beyond the boundaries of an immediate engineering team.
- Excellent collaboration, communication, and influence skills, with the ability to build trust and drive alignment among technical leaders, business stakeholders, and engineers.
Benefits:
- Competitive base salary of $188,800–$265,000 USD, with eligibility for a competitive bonus and equity offering.
- Flexible remote work across the United States, with the ability to work from the location that best supports your effectiveness.
- Opportunity to shape AI adoption and technical strategy across a broad organization, with significant cross-team influence and visibility.
- Exposure to complex AI platform, product, engineering, and organizational challenges, with the opportunity to turn experimentation into reusable capabilities.
- Strong opportunities for technical leadership, mentorship, systems thinking, and development of engineers and technical leaders.
- A user-centered, technology-driven environment focused on building scalable solutions and improving how teams work with AI.
- Virtual interviews require candidates to be on camera as part of the standard interview process.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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