Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
We’re looking for a Senior Product Marketing Manager to lead product marketing for Turing’s Frontier AI business. Our customers are building frontier AI models that rely on Turing’s high-quality datasets, reinforcement learning environments, benchmarks, and expert network to train & improve their models.
This role is ideal for someone who thrives in a fast-moving environment and is excited to shape the narrative around our products and create compelling content for AI researchers, including technical blogs, demos, and customer-facing presentations.
Who You AreYou’re intellectually curious and enjoy learning how AI models are trained and improved. You ask thoughtful questions, synthesize complex information quickly, and can turn technical details into messaging that resonates with customers.
You enjoy collaborating with AI researchers and other technical stakeholders. You combine strategic thinking with a bias for execution and are comfortable taking ownership in a fast-moving, collaborative environment.
Most importantly, you’re excited by the opportunity to help accelerate frontier AI by enabling better data, better evaluations, and better model performance.
What You’ll DoDevelop Positioning and Messaging- Develop differentiated positioning and messaging for our datasets, benchmarks, research, and reinforcement learning environments.
- Translate complex technical capabilities into clear, compelling value propositions for AI researchers.
- Partner closely with the Research team to ensure our messaging accurately reflects Turing’s capabilities and differentiation.
- Lead go-to-market execution for new products and capabilities.
- Coordinate cross-functional launch plans and ensure teams are aligned on messaging, enablement, and customer communications.
- Create launch materials, including product pages, technical blogs, presentations, customer stories, demos, and sales enablement content.
- Develop a deep understanding of frontier AI labs and their technical decision-makers.
- Conduct customer interviews, market research, and competitive analysis to identify emerging trends and customer needs.
- Bring customer and market insights back to Research teams to help inform roadmap and positioning decisions.
- Develop sales enablement materials that help teams communicate product value to technical buyers.
- Create competitive intelligence and battle cards.
- Partner with Sales and Customer Success to improve product adoption and customer engagement.
- 5+ years of experience in Product Marketing, Technical Marketing, or a related go-to-market role.
- Bachelor's in Marketing, Computer Science, Engineering, or related field — or equivalent experience
- Experience marketing highly technical products, such as AI/ML platforms, developer tools, cloud infrastructure, or data platforms.
- Demonstrated ability to understand complex technical concepts and communicate them clearly to technical audiences.
- Experience leading cross-functional product launches from planning through execution.
- Excellent written and verbal communication skills, with the ability to create compelling technical and customer-facing content.
- Strong customer research, competitive analysis, and market insight skills.
- Experience with AI, machine learning, data infrastructure, developer platforms, or foundation model ecosystems.
- Familiarity with concepts such as:
- Foundation models
- Model evaluations
- Reinforcement learning (RLHF, RLVR)
- Synthetic data
- Human-in-the-loop systems
- Multimodal AI
- LLM benchmarking
- Data pipelines
- Experience marketing to AI researchers, ML engineers, developers, or other technical audiences.
- Bachelor’s degree in Marketing, Computer Science, Engineering, or a related field, or equivalent practical experience.
Within your first year, you’ll:
- Develop clear, differentiated messaging across key product areas.
- Successfully launch new products and capabilities that drive customer engagement and adoption.
- Deepen our understanding of customer needs through ongoing market and customer research.
- Help strengthen our reputation as a trusted and a research-forward partner to frontier AI labs.
Compensation: $159,000 to $205,000 base + equity
#LI-VC1
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
- Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
- Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
- Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
- Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
- Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Skills Required
- 5+ years of experience in Product Marketing, Technical Marketing, or a related go-to-market role
- Bachelor's degree in Marketing, Computer Science, Engineering, or a related field, or equivalent experience
- Experience marketing highly technical products such as AI/ML platforms, developer tools, cloud infrastructure, or data platforms
- Ability to understand complex technical concepts and communicate them clearly to technical audiences
- Experience leading cross-functional product launches from planning through execution
- Excellent written and verbal communication skills, including technical and customer-facing content creation
- Strong customer research, competitive analysis, and market insight skills
- Experience with AI, machine learning, data infrastructure, developer platforms, or foundation model ecosystems
- Familiarity with foundation models, model evaluations, reinforcement learning, synthetic data, human-in-the-loop systems, multimodal AI, LLM benchmarking, and data pipelines
- Experience marketing to AI researchers, ML engineers, developers, or other technical audiences
Turing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Turing and has not been reviewed or approved by Turing.
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Fair & Transparent Compensation — Feedback suggests USD-denominated pay and access to higher-paying clients can outpace local benchmarks for many non‑U.S. developers. Payout timing and processing are described as predictable once engagements begin, which supports confidence in earnings.
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Wellbeing & Lifestyle Benefits — Feedback suggests remote‑first work with flexible hours is a consistent positive that enhances day‑to‑day balance. The ability to work from anywhere and maintain autonomy is frequently highlighted as part of the overall rewards experience.
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Healthcare Strength — Feedback suggests some U.S. corporate roles include comprehensive health benefits, with individual accounts referencing employer‑covered medical insurance. These signals indicate stronger healthcare support for certain employee populations.
Turing Insights
What We Do
We now live in a remote-first world and every company is in a race to find the best remote engineers. There are so many amazing engineers all over the world. Turing’s mission is to help unleash the world’s untapped human potential. More than 300 companies, including those backed by Google Ventures, Bloomberg, Andreessen, Founders Fund, and Kleiner are already using Turing to spin up their engineering dream teams. Turing’s hiring platform combines the planetary reach and AI to deliver your ideal engineers in order to help you spin up your engineering dream team. Our deep matching intelligence finds the best Turing developers across 100+ skills like React, Node, Python, Golang, Angular, Swift, Java, and many more. As part of our rigorous vetting process, we also review software engineers’ technical abilities, English skills, and remote working capabilities. Turing ensures time zone overlap, transparency, and reliable communication in order to make remote development easy for you after the match. The Turing team has deep expertise in AI and building engineering dream teams in the U.S. at top companies. Turing company is backed by well-known investors like Facebook’s initial CTO (Adam D’Angelo), executives from Google, Facebook, Amazon, Twitter, Founders Fund (investors in Facebook, Tesla, Asana, etc). Turing.com is led by serial A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, their last A.I. firm leveraged remote talent and had a successful acquisition.
