About the role We're building an AI system that learns from how domain experts make decisions — and gets measurably better over time. The challenge isn't building another chatbot or copilot. It's designing a system that can extract structured intelligence from messy, real-world professional workflows, identify reliable patterns across many decisions, and surface that knowledge to the point where it's actually useful — without requiring anyone to change how they work. The PM is responsible for designing the loops that capture judgement, play back recommendations and advice to brokers, and holds the team accountable to a standard of truth over confirmation. About the team This is a founding role on a small pod focused on a narrow problem space with a large solution space. We're selecting for ambiguity tolerance, iteration speed, and range over process discipline. The tradeoff is explicit: we accept messiness in exchange for faster learning. The PM works embedded in a team of AI and software engineers. You'll report to the Director of Product and interface regularly with the leadership team as the voice of the pod — communicating progress, surfacing blockers, and translating system performance into strategic implications. What this means for you You'll own the problem and success definition — not the feature list. This role requires a high-ownership mindset: you don't just prioritize what's asked — you define the workflow, what use case and workflow makes the most sense to prioritize to prove out the system, and what the system needs to prove at every stage to answer “is this actually working” This is not a traditional PM role. There are no customers in the conventional sense. There's a thesis, a set of domain experts who are your ground truth, and an AI system that either outperforms a generic model or doesn't. You own the bar. What you'll do Design the judgment capture system - Define what broker judgment looks like when it's captured correctly — the artifact schema that turns unstructured decisions into structured intelligence. - Design the feedback loops that allow domain experts to validate, correct, and enrich what the system surfaces — without adding friction to how they already work. - Own the broker relationship: understand what advice actually looks like, what experts trust, and what the system gets wrong in interesting ways. - Map workflows into tangible assets, advice units, and recommendations for brokers to act on. - Translate expert corrections into system improvements. When brokers tell you the output is wrong, that's your most valuable signal — make sure the team acts on it. Define and hold the standard for "good" - Own the evaluation framework: what does it mean for this system to be materially better than a generic AI model with the same context? - Define success criteria for each phase — not in business metrics, but in system performance. Does the extraction work? Do brokers trust the patterns? Is month 8 better than month 5? - Build instrumentation with the engineering team to track whether the system's intelligence is actually improving. If it isn't, the answer is stop — and you should find that useful, not threatening. - Distinguish real learning from noise. Patterns that don't hold are not product failures — they're data. Own how the team uses them. Drive priorities and protect velocity - Translate domain complexity into a prioritization framework the team can execute against — without perfectly defined requirements. - Work with GTM and embedded domain experts to ensure the team is solving the right problem. You are the interface between what brokers need and what the system can produce. - Remove ambiguity without adding process. This team moves fast — your job is to create clarity, not overhead. About you Required - 3–5 years of product experience, including meaningful time in environments where the "right" design wasn't obvious upfront — ideally 0-to-1 or early-stage product work. - Hands-on experience with deployed AI systems — not experimentation or exploration, but systems that shipped and operated in production. You understand where these systems are strong and where they fail. - Systems thinking: you design workflows, feedback loops, not feature sets. You've thought seriously about how systems learn and improve over time, not just how they process inputs. You connect the dots across systems and workflows. - Experience in regulated or complex professional domains — insurance, fintech, legal, healthcare, or similar fields where the signal is human judgment and the stakes of being wrong are real. - Comfort with ambiguity: you can define and make progress on a problem when the requirements are incomplete and success metrics don't yet exist. - Strong written and verbal communication — you can articulate technical tradeoffs to non-technical stakeholders and hold your own in architecture conversations with engineers. - An analytical mindset: you know how to distinguish signal from noise in both qualitative feedback and quantitative instrumentation. Nice to have - Experience working with LLM-based systems — extraction pipelines, retrieval architectures, structured generation, or confidence calibration. - Background in knowledge management, expert systems, or any domain where the core challenge was capturing and systematizing human judgment. - Familiarity with data platforms (SQL, Snowflake) — you don't need to write the queries, but you should be able to read them. - Prior startup experience, or experience inside a company operating in a startup mode — where shipping, learning, and pivoting happened in weeks, not quarters. What this role is not - A feature PM role — there is no standard backlog, no sprint ceremonies built around a roadmap, no conventional customer feedback loop. - A role where AI experience means you've explored tools or written prompts — we need someone who has built and shipped systems that depend on AI to work. - A stakeholder management role — you'll work closely with brokers and GTM, but the output is system performance, not stakeholder satisfaction. - A role with fully defined success criteria — you'll help build those from scratch, and you should find that energizing. - A role where you need to already know insurance — you need to be excellent at learning complex domains fast. Vouch provides several benefits to help you bring your best self to work: - 💰 Competitive compensation and equity packages - ⚕️ Health, dental, and vision insurance - 🍼 Parental leave - 🌴 Flexible vacation time - 🪷 Wellness allowance - 🛜 Technology allowance - 📚 Company-sponsored personal and professional development - 🏫 L&D: Partnerships with Ethena and monthly Lunch & Learns - 🧘 Wellbeing: access to many wellbeing perks, including Peloton, Fetch, OneMedical, Headspace care+, etc. - 🤗 Caregiver Support: company seed into the dependent care FSA and company sponsored Care.com membership. - 📊 Regular performance reviews: Vouch conducts regular performance discussions with all team members, offering goal setting and check-ins, development discussions, and promotion opportunities. What to expect in a typical interview process: (Please note these steps may vary slightly depending on the role) - 30-minute phone call with our recruiting team - 30-45 minute video interview with the hiring manager - Case study/technical screen - Meet the team! 30-45 min 1:1 video discussion with 3-4 team members you’d work closely with in the role - Executive chat Compensation philosophy: Our salary ranges are based on paying competitively for our size and industry and are part of our total compensation package, which also includes benefits and other perks. We also include stock options in all compensation packages and believe all Vouch employees should have the opportunity to become owners in the company. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skill set, location, and business need. The pay range provided is subject to change and may be modified in the future. Vouch believes in putting our people first, and building a diverse team is at the front of everything we do. We welcome people from different backgrounds, experiences, perspectives, and ranges of abilities. We are an equal-opportunity employer and celebrate the diversity of our growing team. If you require reasonable accommodation to complete this application, interview, complete any pre-employment testing, or otherwise participate in the employee selection process, please direct your inquiries to recruiting@vouch.us.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Product Commercialization Leader is responsible for driving the global commercial success of both existing and new products by partnering with cross-functional teams to define market positioning, value propositions, and go-to-market (GTM) programs and strategy. This role acts as the central orchestrator for Asset Management, AMO, and Service product launch readiness, ensuring that all commercial aspects—from pricing to customer segmentation—are aligned to maximize product adoption, revenue growth, and market impact. Responsibilities - Commercialization Strategy & Roadmap - Partner with Global Commercialization, Product Management, Sales Enablement, Sales, and Marketing Centers of Excellence (COEs) to craft compelling product positioning, value propositions, training materials, and marketing collateral tailored for both existing and new products. - Own customer segmentation for the product portfolio and develop GTM strategy by segment (including channels), leveraging global standard work and aligning with Sales, Product and Global Commercialization teams. - Define and execute commercialization strategy for SaaS subscriptions, add ons, service contracts, spare parts, and lifecycle services across customer segments and channels. - Translate product roadmaps into prioritized commercial initiatives aligned to revenue, margin, and customer-retention goals. - Implement and iterate value-based pricing and bundling strategies to maximize attach rates, ARPU, and renewals. - Develop and maintain a consolidated marketing plan for assigned product(s), ensuring alignment with overall business objectives and collaborating closely with Regional Commercialization Leaders, as well as Product Management on new product development to meet launch readiness standards. - Lead the internal assessment and provide go/no-go recommendations for product launches by evaluating market readiness, commercial viability, and strategic fit. - Ensure commercial readiness by connecting product-market fit with pricing strategies; confirm that pricing supports both the product story and business goals. - GTM Planning & Launch Execution - Lead end-to-end launches of new product commercialization, service offerings and parts programs: launch plan, readiness gates, sales & service playbooks, training, collateral and staged rollouts. - Collaborate with cross-functional teams including the commercial and marketing teams to enable speed to launch, ensuring effective cross-functional launch governance (milestones, risk mitigation, go/no-go decisioning). - Streamline promotional workflows and eliminate pre-customer bottlenecks to boost sales efficiency, working with cross-functional teams to remove barriers and accelerate time-to-market. - Translate strategy and assets into sales readiness and field success. - Sales, Channel & Service Enablement - Partner with sales leadership to shorten sales cycles and increase win rates. - Build sales, channel and field-service enablement programs: playbooks, deal kits, ROI calculators, competitive positioning and objection handling. - Enable channel partners to increase brand affinity and grow sales across the entire product portfolio through targeted training, sales and product collateral, and ongoing field support. - Cross-Functional Collaboration - Present commercialization plans, performance and recommendations to the GM and executive team; drive decisions and resource allocation. - Direct partnership with the Regional Commercialization team who are responsible for the sales support, market data/TAM, promotions, programs, buyer personas, training and development, regional market insights, and regional marketing strategy. - In collaboration with the Finance, Product, and Commercialization teams, define and monitor KPIs and dashboards (revenue by SKU/offer, attach rate, ARR, churn, parts fill rate, cost-to-serve, service margin, NPS/CSAT), ensuring growth and continuous improvement for the business. - Lifecycle Monetization & Retention - Own strategies for trials, adoption-driving campaigns, upsell/cross-sell motions, renewal processes and customer success enablement to drive ARR growth and churn reduction. - Establish and run playbooks for product-led and sales assisted motions across different customer cohorts, ensuring a customer-centric approach that drives an increasing share of wallet over the lifecycle of the account. Qualifications - Bachelor’s degree in Marketing, Business, Product Management, or related field (or equivalent experience). - 7+ years of experience in product commercialization, product marketing, or related roles in enterprise B2B environments. - Experience in technology, IoT, hardware + software or industrial products with aftermarket ecosystems. - Strong technical skill set to provide a strong base of understanding for the product portfolio. - Demonstrated experience leading cross-functional commercialization projects and product launches. - Strong analytical skills, with experience in market modeling, forecasting, and performance measurement. - Proficiency with CRM and marketing automation tools (e.g., Salesforce, HubSpot, Marketo), and strong Excel/PowerPoint skills. - Excellent written and verbal communication skills, with the ability to create compelling collateral and deliver executive-level updates. - Results-oriented, highly collaborative, and able to work effectively in fast-paced, dynamic environments. - Ability to give persuasive presentations to a varying audience. Requirements - MBA or advanced degree (preferable). - Experience in convenience retail or fueling solutions (preferable). - Familiarity with global product launches and regulatory/compliance considerations (preferable). - Fluency in English; additional languages are a plus (preferable). Benefits - The base compensation range for this position is $125,000 to $160,000 per annum. - Your actual base salary will be determined based upon numerous factors which may include relevant experience, skills, location (labor market data), credentials (education, certifications), and internal equity.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Enterprise Business Intelligence Lead will be responsible for overseeing the evolution and maturity of the business intelligence lifecycle, from data collection and transformation to analysis and visualization. The role requires a strong blend of technical expertise, leadership skills, and business acumen. The successful candidate will collaborate closely with business stakeholders, cross-functional teams, and Enterprise Data Sciences & Analytics teammates to ensure the correct business needs are identified, effective BI/analytics solutions are designed, ensure data integrity and accuracy, and drive self-service BI across the organization. Key Responsibilities: - Provide strategic direction, solution architecture and approach, and leadership to the business intelligence project teams. - Promote self-service BI and establish a new Analytics Community of Practice. - Foster a collaborative and results-oriented environment. - Manage and oversee a team of offshore contractors performing managed services, project delivery work, and continuous improvement projects. - Drive a culture of self-service BI and thought leadership. - Ensure data governance and data quality standards are met throughout the data lifecycle. - Utilize advanced analytics techniques to extract insights from complex data sets. - Oversee the design and development of intuitive and impactful data visualizations, dashboards, and reports using Power BI. - Up to 10% travel expectations. - Other duties as assigned. Qualifications - Bachelor’s degree in Business, Computer Science, Data Science, or related field required. - Minimum seven years of proven experience in business intelligence, data analytics, or a related role. - Leadership experience, with a history of working across multiple geographies. - Life Sciences industry experience, required. - Experience with GxP processes, required. - Familiarity with Cloud platforms (e.g., AWS, Azure, Google Cloud) and their services relevant to data management and analytics. - Experience with Power BI apps leveraging Databricks is highly desirable. - Experience in data visualization tools (SQL, Python, R) and BI visualization tools (Tableau, Power BI, QlikView, etc.). - High proficiency with Microsoft Power BI. - Individual may be required to sit, stand, walk regularly and occasionally lift 0-15 pounds. Benefits - Opportunity to impact and help build a growing early talent organization. - Potential for career growth within an expanding team. - Diverse, inclusive culture. - 152 hours of PTO + 8 Paid Holidays. - Competitive medical benefits and 401K. - Dynamic, fast-paced work environment.

• Support the go-to-market planning and rollout strategy for a new subscription management solution • Test and validate end-to-end subscription workflows, including subscriptions, billing, payments, and invoicing • Work with internal teams to ensure the solution functions effectively for different user groups • Coordinate with stakeholders including external customers, sales teams, FinOps, and internal product teams to gather feedback and validate requirements • Assist with implementation readiness, ensuring internal users can configure and manage subscriptions and quotes effectively • Document workflows, testing results, and product requirements to support implementation and adoption • Identify potential risks or gaps in user workflows and recommend improvements