Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Role Overview Vantor is actively seeking a Product Strategy & Operations Manager, AI Transformation to join our team. This role is responsible for driving the integration of AI into how we plan, build, and operate across the product development lifecycle, supporting both Product Management and Engineering. This is a hands-on role focused on building and scaling AI-powered solutions that improve product development workflows, accelerate execution, and enable more data-driven decision-making. You will work closely with Product, Engineering, and leadership to identify high-impact opportunities, prototype solutions, and drive adoption of AI-enabled ways of working. Successful candidates bring a combination of technical fluency, strategic thinking, and strong stakeholder influence, with a demonstrated ability to operate in ambiguity and deliver results in a cross-functional environment. Responsibilities AI Solution Development & Implementation (Hands-On) - Design, prototype, and deploy AI-powered tools and workflows that support both Product Management and Engineering teams - Build practical applications using modern AI tooling (e.g., LLM APIs, copilots, workflow automation, developer tooling integrations) - Improve workflows across the product development lifecycle (e.g., requirements generation, sprint planning, code support, testing, documentation, and analysis) - Rapidly test and iterate on AI use cases, moving from concept → prototype → scaled solution - Partner with Engineering for productionization when needed, while independently delivering lightweight, high-impact solutions Product Development Operations & Process Transformation - Redesign end-to-end workflows across Product and Engineering using AI and automation - Improve processes such as roadmap planning, backlog management, development workflows, release coordination, and post-launch analysis - Reduce inefficiencies and manual work across teams through scalable AI-enabled solutions - Introduce AI-assisted approaches to prioritization, estimation, and dependency management Stakeholder Engagement & Adoption - Drive adoption of AI solutions across Product, Engineering, and cross-functional teams - Translate technical capabilities into clear business value - Influence stakeholders and build alignment without direct authority - Support change management to enable AI-driven ways of working Minimum Requirements - Hands-on experience building with AI tools (e.g., LLM APIs, prompt engineering, automation platforms) - Strong understanding of the product development lifecycle, including Product Management and Engineering workflows - Proven ability to take ideas from concept to implementation and scale - Experience driving process improvement, operational transformation, or workflow optimization - Strong problem-solving skills and ability to operate effectively in ambiguous environments - Demonstrated ability to influence cross-functional stakeholders without direct authority - Excellent communication skills, including the ability to translate technical concepts into clear, actionable insights Preferred Qualifications - Experience working closely with engineering teams or in a technical environment - Familiarity with programming or data tools (e.g., Python, SQL, APIs) - Experience implementing or scaling AI/ML solutions in a business or product context - Experience with product or engineering tools (e.g., Jira, Confluence, Git-based workflows) - Background in analytics, data platforms, or experimentation frameworks - Experience supporting organizational change or transformation initiatives Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within Colorado is: $97,000.00 - $161,000.00 annually.● The base pay for this position within New Jersey is: $97,000.00 - $161,000.00 annually.● The base pay for this position within Delaware is: $97,000.00 - $161,000.00 annually. ● The base pay for this position within the Washington, DC metropolitan area is: $107,000.00 - $178,000.00 annually.● The base pay for this position within California is: $111,000.00 - $162,800.00 annually.For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Role Description Support program execution strategy for multiple products and platforms. Kickstart 0 to 1 efforts, accelerate execution, and improve quality/outcomes via programmatic and technical solutions. - Write and optimize SQL queries to collect, transform, and analyze product data. - Identify trends, patterns, and insights that inform business decisions. - Build and maintain dashboards, reports, and visualizations using tools like Google Sheets. - Communicate findings to stakeholders and support real-time decision-making. - Leverage AI agents and tools to accelerate data analysis, automate repetitive tasks, and prototype solutions. - Identify program risks proactively. - Develop data-backed mitigation plans and communicate updates clearly across cross-functional teams. - Manage programs to identify opportunities and predict roadblocks through data analysis. - Strengthen cross-functional relationships and execute plans with technical rigor. Qualifications - 8+ years of relevant experience in consulting, strategy, operations, or equivalent program management. - Proficient in SQL. Able to write advanced queries including CTEs, window functions, joins, aggregations, and data transformations. - Experience with AI agents and AI-assisted workflows. Comfortable prompting and iterating with AI tools. - Expert-level proficiency in Google Workspace, especially Google Sheets. Able to create detailed documentation, complex formulas, pivot tables, and automated workflows. - Strong multi-tasking abilities. Experience managing multiple workstreams simultaneously. - Self-starter mentality. Able to work independently and drive projects forward without close supervision. - Eager to learn new tools, technologies, and domains quickly. Adapts to changing technical requirements. - Effective critical thinking. Experience leveraging data to anticipate and unblock problems. - Proven time-management and organizational skills. - Data annotation/labeling skills and LLM training experience. Requirements - Experience with VS Code or similar development environments. - Experience with low-code/no-code prototyping or AI-assisted code generation. - Experience building dashboards and data visualizations using tools like Tableau or Looker. - Familiarity with data pipelines, ETL processes, or data infrastructure concepts. - Experience working with engineering teams on technical specifications and requirements. - Background in quality assurance, triage operations, or ML/AI validation workflows. - Experience with testing, developing, and implementing test strategies for products and features. Benefits - W-2 employment through Cincinnatus. - Hourly contractor. - Paid weekly. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Own and continuously improve the PM tooling stack: Linear for issue and roadmap tracking, GitHub for engineering alignment, and Notion as the team's knowledge and documentation hub. • Build lightweight automations and integrations across Linear, GitHub, and Notion — syncing issue states, triggering notifications, and surfacing relevant signals and dependencies, and auto-generate roadmaps. • Identify opportunities to apply AI tools to product operations workflows — from drafting status updates to accelerating research synthesis and reducing repetitive coordination overhead. • Evaluate and pilot new tools or integrations as the product org grows, with a bias toward practical solutions that reduce friction. • Translate company priorities into structured Linear projects with defined scope, owners, milestones, and success criteria. • Partner with PM and engineering leads to map priorities to team capacity, surface conflicts early, and ensure cross-functional execution is coordinated rather than siloed. • Maintain a single source of truth in Linear and Notion with self-serve dashboards giving stakeholders real-time visibility into execution vs. goals. • Establish repeatable processes for how new initiatives get ingested, decomposed, and divided into clearly owned workstreams across the full product lifecycle: new product introductions, major feature updates, iterative improvements, and deprecations. • Own a launch readiness process and checklist that coordinates pre-launch responsibilities across Legal, Sales Enablement, Support Enablement, Marketing, and other stakeholders — ensuring nothing falls through the cracks when shipping.

• Own and continuously improve the PM tooling stack: Linear for issue and roadmap tracking, GitHub for engineering alignment, and Notion as the team's knowledge and documentation hub. • Build lightweight automations and integrations across Linear, GitHub, and Notion — syncing issue states, triggering notifications, and surfacing relevant signals and dependencies, and auto-generate roadmaps. • Identify opportunities to apply AI tools to product operations workflows — from drafting status updates to accelerating research synthesis and reducing repetitive coordination overhead. • Evaluate and pilot new tools or integrations as the product org grows, with a bias toward practical solutions that reduce friction. • Translate company priorities into structured Linear projects with defined scope, owners, milestones, and success criteria. • Partner with PM and engineering leads to map priorities to team capacity, surface conflicts early, and ensure cross-functional execution is coordinated rather than siloed. • Maintain a single source of truth in Linear and Notion with self-serve dashboards giving stakeholders real-time visibility into execution vs. goals. • Establish repeatable processes for how new initiatives get ingested, decomposed, and divided into clearly owned workstreams across the full product lifecycle: new product introductions, major feature updates, iterative improvements, and deprecations. • Own a launch readiness process and checklist that coordinates pre-launch responsibilities across Legal, Sales Enablement, Support Enablement, Marketing, and other stakeholders — ensuring nothing falls through the cracks when shipping.