Sr. Product Manager

About the role

Description We’re hiring a hands-on Senior Product Manager to lead an AI-driven competitive intelligence and conversational search platform that delivers deeper, more actionable insights than general-purpose AI chat products. You'll own product strategy and execution, from quarterly planning and metrics to shipping features that extract data, create derivative datasets, and assemble them into a usable knowledge graph. This role requires strong commercial acumen, the ability to influence and align cross-functional teams, and comfort translating highly technical concepts into clear, business-focused narratives. What You'll Do Own the product strategy and roadmap for an AI-driven, NLP-based competitive benchmarking product, including quarterly planning cycles, OKRs, and outcome-focused metrics. Lead data extraction and knowledge graph initiatives by transforming company, people, event, and open-web data into structured, LLM-ready datasets. Deliver a conversational search experience leveraging embeddings and Boolean search capabilities; continually enhance competitive benchmarking workflows and insights. Build SaaS-based AI capabilities using modern architectures and integrations through APIs and connectors. Translate complex technical concepts such as NLP, embeddings, knowledge graphs, LLM orchestration, and agentic workflows into clear customer value propositions and go-to-market messaging. Partner closely with data science and engineering teams to define data requirements, evaluation frameworks, and AI model strategies. Conduct discovery and validation with business users, including financial and professional services audiences, to identify competitive intelligence needs and opportunities. Drive execution across engineering, data, design, and go-to-market teams; remove blockers and ensure measurable outcomes. Support customer-facing conversations and collaborate with sales and customer success teams to communicate product value. Key Outcomes (First 90 Days) Ingest and normalize customer and market documents into the data pipeline, generating derivative datasets and foundational knowledge graph assets. Enhance data freshness and coverage by augmenting traditional data sources with automated extraction and AI-based enrichment processes. Launch an initial conversational search experience utilizing embeddings and Boolean search capabilities. Establish a scalable AI model strategy, including evaluation criteria and decision frameworks for future model selection. Define product metrics and quarterly planning processes focused on adoption, answer quality, time-to-insight, data freshness, search effectiveness, and cost-performance optimization. Skills Artificial Intelligence, Agentic AI, Product Management, Agile, Jira, Product Strategy, Product Roadmap, Data Management, Stakeholder Management, Analytics, LLMs, APIs Top Skills Artificial Intelligence Agentic AI Product Management Agile Jira Product Strategy Product Roadmap Data Management Stakeholder Management Analytics LLMs APIs Additional Skills & Qualifications Qualifications 5-8+ years of product management experience, including at least 3 years leading AI/ML, NLP, search, or knowledge graph products. Strong commercial mindset with experience communicating product value and business outcomes to stakeholders and customers. Demonstrated ability to lead teams, drive execution, and deliver impactful products. Hands-on familiarity with LLMs, embeddings, NLP, retrieval/search technologies, and agentic AI workflows. Experience managing quarterly planning cycles and metric-driven product development. Ability to simplify technical concepts for executive, customer-facing, and cross-functional audiences. Strong analytical and problem-solving skills with a collaborative leadership style. Experience working with professional services, financial services, competitive intelligence, market research, or related domains. Nice-to-Haves Experience with vector search, semantic search, or search platform technologies. Background in conversational AI, knowledge graphs, NLP pipelines, or AI-powered data enrichment. Experience building products that combine structured and unstructured data sources for business insights. Job Type & Location This is a Contract to Hire position based out of Raleigh, NC. Pay and Benefits The pay range for this position is $65.00 - $70.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Raleigh,NC. Application Deadline This position is anticipated to close on Sep 25, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.