Turing

HQ
Palo Alto
1,401 Total Employees
Year Founded: 2018

Jobs at Turing

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Recently posted jobs

YesterdaySaved
In-Office
3 Locations
Artificial Intelligence • Software
Founding pre-sales Field Engineering role selling STEM datasets, benchmarks, graders, and expert services to frontier AI labs. Lead technical discovery, design solution architectures, build prototypes/demos, run POCs to conversion, interface between GTM and R&D, and codify playbooks and demo libraries to scale STEM opportunities.
2 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Software
Provide high-trust executive and personal support to the Founder & CEO: manage a complex, rapidly changing calendar; coordinate domestic and international multi-leg travel; handle personal, household, and family-office logistics; anticipate needs, solve problems proactively, and maintain confidential systems for files, contacts, and expenses. Partner closely with the Office of the CEO and internal/external stakeholders to preserve the CEO's time and priorities.
2 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Software
Support the CEO as an external force multiplier: run capital formation processes, craft investor/partner decks and memos, drive strategic partnerships with frontier labs and enterprises, build executive relationship systems, and lead high-impact confidential projects requiring judgment, discretion, and flawless execution.
13 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Software
The Strategic Project Lead manages strategic data delivery projects for AI labs, overseeing project execution, customer relationships, and contributor coordination to ensure high-quality outcomes and maintain long-term partnerships.
23 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Software
The Client Director will lead large-scale LLM training programs, managing global teams, ensuring data quality, and overseeing client relationships. Responsibilities include optimizing workflows, developing automation tools, and enhancing model performance through high-quality datasets.
25 Days AgoSaved
In-Office
3 Locations
Artificial Intelligence • Software
As a Senior AI Solutions Engineer, you will lead technical conversations with AI research partners, translate their needs into solutions, manage proof of concepts, and construct a playbook for future engineers.
25 Days AgoSaved
In-Office
3 Locations
Artificial Intelligence • Software
The Senior AI Solutions Engineer will lead technical discovery, build solutions, own pilot projects, and create a playbook for the enterprise knowledge work domain. Responsibilities include engaging with research partners, designing evaluations, and translating goals into deliverables while ensuring successful prototype demonstrations before contract signing.
25 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
The Staff Research Engineer - Code will lead the creation of datasets and reinforcement learning environments for coding agents, collaborating with AI labs to influence model improvements and operational excellence, while managing a technical team.
YesterdaySaved
Remote
United States
Artificial Intelligence • Software
Own and optimize the MarTech stack (primarily HubSpot), manage HubSpot-Salesforce integration and lead lifecycle, run campaign operations and email execution, ensure data hygiene and attribution, build reporting dashboards, and enable cross-functional teams with scalable processes and documentation.
YesterdaySaved
Remote
United States
Artificial Intelligence • Software
Lead and scale end-to-end operations for a global talent platform, covering sourcing and matching, contractor lifecycle management, payments and compliance, and support operations. Partner with Product, Data, Legal, and Finance to build automated, metrics-driven workflows and systems that improve onboarding, allocation, payment accuracy, and issue resolution at scale.
9 Days AgoSaved
Remote
United States
Artificial Intelligence • Software
Lead end-to-end GenAI projects for enterprise clients: manage client relationships, select use-cases, provide technical direction, coordinate cross-functional teams, oversee delivery planning and execution, ensure documentation and ROI, and mitigate risks to scale POCs into production.