Job
Description
About Highspot Highspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd. While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets. About The Role In this role, you will be joining the Product Management team reporting to the Senior Director of Product Management. The Product Management function at Highspot is an integral part of the company. You will be jumping into many different projects and features, and will be very hands-on. You will be working very closely with design, user research and engineering to think critically and collaboratively about how to solve complex customer problems. Over time, you will have the opportunity to help shape and grow not just the product, but also the team. We’re looking for someone with expertise in AI to join our high-impact product team focused on transforming how go-to-market teams learn, perform, and grow. In this role, you’ll take ownership of our AI-first product experiences, especially around training, coaching and meeting intelligence. Your mission is to create products that drive measurable seller behavior change—powered by intelligence, grounded in simplicity, and integrated deeply into sellers’ workflows. You'll work with a cross-functional feature team (PM, Design, Engineering, Data Science) and collaborate closely with Product Marketing, Customer Success, and Revenue stakeholders. Our ideal candidate is someone who enjoys understanding a broad set of customer requirements, digging into technical constraints, and using their expertise to deliver an elegantly simple customer experience. This person will benefit from being a skilled communicator, who can drive enterprise-level customer conversations, collaborate effectively with other disciplines, and land proposals with stakeholders. Responsibilities You will work with customers and stakeholders to create a strategic roadmap, prioritize problems, and define requirements, then manage the backlog through the product development process from discovery to general availability. You will become an expert on our software, customer, and our market, as well as be able to identify, prioritize and execute on both tactical and strategic projects. You will collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products. You will dig deep into customer and usage data to identify opportunities and evaluate the success of our efforts. Own the roadmap for AI features related to coaching insights, rep scoring, skill reinforcement, and conversation intelligence. Drive discovery with customers, internal SMEs, and sales leaders to uncover pain points and surface areas where AI can improve productivity, engagement, or skill growth. Work across systems—analytics, content, LMS, and CRM—to unify data into actionable insights. Validate new capabilities with customers using prototypes, mockups, and early betas; measure adoption and iterate quickly. Define and measure key success metrics (e.g., coaching engagement, learning retention, time-to-proficiency). Champion intuitive UX design for multi-modal inputs (text, voice, video) and outputs. Be a thought partner on how to embed AI ethically, explainably, and practically in a high-trust enterprise environment. Required Qualifications 5–8 years of PM experience in B2B SaaS, ideally in sales enablement or learning tech, with a proven ability to ship products in agile environments. 2+ years working with AI/ML teams, including experience in NLP, NLU, or Generative AI applications. Skilled at leading cross-functional teams to deliver high-quality, end-to-end product experiences across complex user scenarios with multiple personas. Strong problem-solver with a track record of turning ambiguous inputs into structured roadmaps and impactful outcomes. Comfortable working with technical teams—able to discuss trade-offs with engineers and collaborate with data scientists on AI strategy. Exceptional communication and stakeholder management skills, with the ability to align executives, sales teams, and designers. Highly detail-oriented and user-obsessed, with a passion for crafting polished, intuitive experiences that drive adoption. Resilient in fast-paced, ambiguous environments, with the ability to prioritize, multitask, and go beyond role boundaries when needed. Desired Qualifications You have experience building products for sales, marketing, or other customer-facing teams. You have experience in B2B SaaS and understand the mechanics and economics of a SaaS business. You have experience building products that leverage machine learning and Generative AI technology. You have a technical degree or equivalent work experience. Background in AI/ML-powered products (e.g., transcription, recommendation systems, chatbots, analytics). Exposure to coaching platforms, LMS, CMS, or conversation intelligence tools. Familiarity with LLMs, RAG architecture, or vector database implementations. Experience working on multi-modal interfaces (voice, video, and text content experiences). Technical degree in Computer Science, Engineering, Data Science, or equivalent experience. Equal Opportunity Statement We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. 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