The IT Go-to-Market organization builds and operates the technology platforms that power Sales, Marketing, and Revenue Operations. These products enable scalable lead generation, pipeline management, deal execution, and revenue insights across the business. As a Staff Product Manager on the IT Go-to-Market (GTM) team, you will own internal technology products that support critical GTM capabilities such as CRM platforms, lead-to-quote workflows, sales productivity tools, and marketing automation systems. You will work closely with Sales, Marketing and RevOps teams to define product strategy, prioritize initiatives, and deliver solutions that improve seller productivity, accelerate deal execution, and enable data-driven decision-making. We are looking to speak to candidates who are based in Palo Alto or San Francisco in our hybrid working model or remotely in the US. ResponsibilitiesDomain Expertise - Build AI-powered Customer Success and customer health platforms - Define workflows for customer risk detection, prioritization, and proactive engagement - Integrate Salesforce, telemetry, support, and analytics systems into unified experiences - Drive automation for escalations, ticket creation, customer communications, and operational workflows - Partner with CS teams to improve productivity, adoption, retention, and revenue outcomes - Define requirements for AI agents, health scoring, and telemetry-driven insights - Familiarity with the entire post sales motion that involves Professional Services, Technical Support and Customer Success - Deep understanding of User Journey and Workflows for all of the post sales motions. Ideally led large transformations and built custom solutions to meet business needs Product Strategy & Vision - Define and communicate the product vision and roadmap for GTM technology platforms - Translate business strategy and operational needs into scalable product capabilities - Identify opportunities to improve seller productivity, marketing effectiveness, and revenue workflows through technology - Align product strategy with enterprise architecture, security, and platform standards Product Lifecycle Ownership - Own the end-to-end lifecycle of GTM products from discovery and requirements through delivery and continuous improvement - Develop clear product requirements (PRDs), define success metrics, and track product adoption and impact - Use user feedback and data insights to refine priorities and improve the product experience Stakeholder Engagement - Partner with Sales, Marketing, RevOps, Finance, Security, and IT teams to understand pain points and identify opportunities - Represent the voice of the user, ensuring solutions address real operational challenges - Communicate priorities, trade-offs, timelines, and progress clearly to stakeholders and leadership - Build strong partnerships with engineering teams, architects, and external vendors Roadmap & Delivery - Own and maintain the product backlog and roadmap, prioritizing work based on business impact and technical feasibility - Collaborate closely with engineering teams in an Agile environment to plan and deliver product releases - Balance new feature development with platform improvements and technical debt - Ensure smooth product delivery by managing cross-team dependencies and aligning stakeholders Adoption & Change Management - Partner with enablement and change management teams to drive adoption of new GTM capabilities - Communicate product changes and new features across impacted teams - Monitor KPIs and support incident or problem management when issues arise Requirements - 10+ years of Product Management experience in enterprise SaaS or cloud platforms - Strong domain expertise in Customer Success, Customer Support, or Post-Sales operations - Experience building custom workflow applications, automation platforms, or AI-powered tools - Deep knowledge of Salesforce CRM and customer lifecycle processes - Experience working with telemetry, analytics, and customer health data - Ability to partner effectively with engineering, operations, and business stakeholders - Familiarity with AI-enabled GTM workflows or automation tools - Experience using product metrics and analytics to guide decisions - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req. ID: 2273461345 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $164,000—$323,000 USD

• Own the HomeFront product suite end-to-end: roadmap execution, backlog prioritization, and release planning. • Drive new customer acquisition by ensuring the product delivers compelling value to small and mid-sized builders. • Manage a team of 5 (1 BA/ Scrum Master, 1 QA Engineer, 1 Senior Developer, 3 Junior Developers), with the team expected to grow over time. • Serve as the primary voice of the customer - gather feedback, identify pain points, and translate them into actionable product improvements. • Maintain and improve the legacy application while the new platform is built. • Develop and execute a roadmap of initiatives tied to measurable KPIs. • Work directly with customers to pursue continued understanding of builder workflows, business process demands and requirements, and utilization necessities. • Collaborate with the Director of Product on strategic direction while owning tactical execution. • Lead the planning of product release plans and set expectations for delivery of new functionalities. • Provide an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals. • Take responsibility to resolve concerns and problems within the team, department, and with customers. • Identify and prioritize AI-powered features that simplify builder workflows.

Senior Research Manager – Product and Artificial Intelligence (AI) Location: New York, New York Work Arrangement: Hybrid (Minimum 3 days per week in the New York City office, typically Monday, Tuesday, and Thursday) Employment Type: Full-time Salary: $125,000–$140,000 USD annually About Understood Understood is a nonprofit focused on shaping the world for difference. We raise awareness of the challenges and strengths of people who learn and think differently. Our resources help people navigate challenges, gain confidence, and find support and community so they can thrive. Having a shared commitment to our values is a key factor in any hire we make. We have five core values: - Continuously learn. - Act with intention. - Champion difference. - Inspire change. - Grow together. Come be part of an organization with an entrepreneurial spirit that’s helping to shape the world for difference. Together, we can build a world where everyone can reach their full potential. Who you are To advance Understood’s mission and to further our impact, we’re hiring a Senior Research Manager, reporting to our Director of Ecosystem Research. You are a researcher who works at the intersection of market intelligence and automation. You excel at delivering cutting-edge market insights to product and other functional teams, providing the daily and weekly insights that fuel innovation. You build AI-driven workflows—such as custom bots and scraping pipelines—to deliver a steady stream of product landscape insights to cross-functional teams. You use LLMs like Claude, Gemini and Perplexity to automate secondary research, and you maintain an always-current view of the market so Understood’s product decisions are evidence-based and ahead of trends. What you’ll do Insights - Produce high-quality, business-driven insights for many teams, with a focus on the product side of the business (marketing, partnerships, external research, and more) - Partner with teams to clarify and sharpen research questions, ensuring findings address the real strategic need rather than the surface-level ask. Product Landscape Automation & Embedded Support - Own the "always-on" scraping and updating of product landscapes to ensure Understood remains ahead of market trends. - Design and maintain AI bots (e.g. Gemini GEMs) to create automated data pipelines that streamline secondary research data collection and analysis. - Serve as the research partner for Product, Product Marketing, and UXR teams, providing rapid-response analysis and weekly Slack updates on competitor moves. Partner Support - Review deal memos for Difference Partners (DiffPar) and facilitate knowledge exchange between the portfolio and internal product teams. - Own the ad hoc scraping partner product landscapes as part of our external Universal Design revenue-driving partnership offering Execution - Independently carry out research projects from start to finish, delivering high-quality findings for specific product initiatives. - Proactively solve problems to deliver high-quality work, adapting easily to change and ensuring the research has meaningful results - Create and manage processes for both our team and cross-functional needs This is a hybrid role that requires a minimum of three (3) days a week in our NYC office, with a focus on Monday, Tuesday, and Thursday. We are a Mac-based environment, and team members are provided a Mac laptop for their work. Must-haves - 5–7 years of experience performing rigorous field scans and secondary research to evaluate markets for product creation. - Expert experience building natural language bots and leveraging AI (e.g., Claude, ChatGPT) to automate research workflows, especially desk research. - Ability to use low-code/no-code solutions to fuel AI-driven data scraping in major company-approved platforms like Claude and/or Perplexity. - Strong background in Product Research, ideally within EdTech or social impact. - Ability to synthesize findings into clear, actionable daily updates for cross-functional peers. - Committed to embodying and being a steward of our commitment to diversity, equity, inclusion, and belonging. Nice-to-haves - Experience with web scraping tools or basic Python for data collection. - Experience with working with AI agent building platforms (e.g. Cursor or N8N). - Familiarity with the Learning and Thinking Difference (LATD) market. The base salary range for this role is a minimum of $125,000 - $140,000 maximum, depending on years of experience and qualifications. We offer a comprehensive benefits package that supports wellness for our team members and their families.

• Support management of the Stars Analytics portfolio, including intake, prioritization, and execution across multiple workstreams in partnership with Lead Product Managers • Partner with Lead Product Managers to gather, structure, and refine stakeholder requirements, ensuring alignment to strategic priorities • Contribute to weekly prioritization and portfolio review sessions by preparing inputs, surfacing tradeoffs, and supporting dependency resolution • Maintain visibility into in-flight work and roadmap updates, ensuring accurate tracking and communication across stakeholders • Drive execution across the product lifecycle for assigned initiatives, from concept through delivery and optimization • Monitor product performance and outcomes, leveraging data and stakeholder feedback to continuously improve solutions • Partner with cross-functional teams (analytics, clinical, operations, technology) to deliver solutions that improve Star Performance outcomes • Provide input into broader departmental strategy and roadmap decisions through analysis, insights, and stakeholder feedback