Turing: Product Manager — India - Remote
Turing lists a Product Manager opening in India - Remote. The job description covers AI, investment, stakeholder management, communication.
Recruitment overview
| Organisation | Turing |
|---|---|
| Post / role | Product Manager |
| Department | Product |
| Employment type | Not specified |
| Notification / job ID | 6227621004 |
| Job location | India - Remote |
| Work arrangement | Remote |
| Educational qualification | Qualification references: bachelor’s degree, MBA |
| Experience required | 2+ years of product management experience |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Turing
Turing provides remote engineering and AI services. It connects companies, including frontier AI laboratories, with datasets, evaluation environments and a vetted pool of remote software engineers and domain specialists, supporting large language model post-training and software delivery. Companies use the pool for software projects as well as AI model development work, and its employer feed lists recruiting and programme roles managing this talent across time zones.
The position and its setting
Turing lists Product Manager in India - Remote, under reference 6227621004. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Product
- Employer listing date: 17 October 2026
Responsibilities and work described
- Turing is looking for a high-caliber Product Manager to lead critical product areas across our talent, marketplace, vetting, and platform ecosystem
- This person will step into a high-ownership role and should be able to combine product judgment, design taste, data-driven decision making, technical fluency, and structured business thinking
- Why this role matters
- Turing works with many of the world’s leading AI labs and enterprises to help build, improve, and scale advanced AI systems
- We sit at the intersection of frontier AI, high-quality talent, and complex product/platform workflows - which means the problems here are real, hard, and highly consequential
- This role sits at the core of how Turing builds scalable, high-quality experiences across talent and customer workflows
- The right person will help raise the bar on product execution, clarity of thinking, and quality of experience across the organization
- What you’ll own
- Leadership: product strategy and execution across some of Turing’s most important platform surfaces, including areas such as:
- Talent discovery, search, and matching
- Talent onboarding and profile quality
- Vetting, trust, and integrity systems
- Marketplace workflows and hiring manager experience
- Internal platforms and operational tooling
- Cross-functional product initiatives spanning product, engineering, design, data, and operations
- Own roadmap, prioritization, and execution for a core product area
Essential requirements and candidate background
- 2+ years of product management experience
- 2+ years of prior software engineering, Data Science, or Design experience
- Product sense with design and UX judgment
- Highly data-driven, with the ability to use metrics, experimentation, and user insights to drive decisions
- Technical fluency and ability to work closely with engineering on architecture, tradeoffs, and execution
- Written and verbal communication
- Structured thinking and ability to bring clarity to ambiguous, cross-functional problems
- High ownership, urgency, and a bias for execution
Education and qualification routes
- Degree / qualification: Bachelor’s degree in Computer Science, Engineering, Design, or a similarly rigorous discipline, ideally from a top-tier institution such as IIT or equivalent globally recognized universities
Preferred experience and additional strengths
- MBA from a top-tier university is a plus, but not required
- Experience working on B2B SaaS, marketplace, platform, workflow, onboarding, trust/safety, search, matching, or AI-enabled products
- Track record of partnering closely with engineering and design teams to ship polished, high-quality user experiences
- Ideal candidate profile
- The ideal candidate brings a rare combination of:
- Product judgment
- Sharp design instinct and high-quality bar
- Deep data-driven decision making
- Technical grounding from prior engineering experience
- Structured business thinking
- Stakeholder management and executive communication
- They should be able to look at a messy problem, identify the highest-leverage opportunity, craft an elegant user experience, back decisions with data, and drive execution end to end
Location, schedule and contract conditions
- Work arrangement: Remote
- Advertised location: India - Remote
Conditions requiring the complete notice
Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Product Manager vacancy is not an offer for reference 6227621004; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Turing
Applications follow the official employer page linked below.
Open the official Turing posting below and match the title and reference 6227621004.
Compare your qualifications and experience with the essential conditions for the India - Remote position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: AI
An AI-related example should make the task and evaluation explicit. Explain the inputs, the system’s intended output and how you checked errors, usefulness or reliability, rather than relying on the model name alone.
Relevant skills
- AI/ML
- AI
- investment
- stakeholder management
- communication
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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