Sales Development Representative - Austin (Spanish Speaking)

🏢 Summary: Technical Quality Engineering role focused on building and scaling AI-powered test automation and quality self-service systems across engineering teams. The position centers on developing AI-driven E2E testing tools, automated failure analysis, and scalable release quality standards to enable engineers to own quality independently. It combines hands-on test automation, AI tooling development, and cross-team technical enablement in a rapidly evolving environment. 🗂️ Requirements: Experience building AI-powered tools or automations in production environments, Experience designing and implementing automated test strategies across unit, integration, and E2E levels, Hands-on experience with end-to-end test automation using Python and Playwright or equivalent, Ability to design and maintain scalable, reliable automated test frameworks, Experience integrating automation and analysis tools into CI pipelines, Experience coaching engineers on testing practices and improving team-owned quality, Ability to operate effectively in ambiguous, fast-changing environments 📃 Skills: Python, Playwright, AI, LLM, RAG, CI, Automation, Testing, E2E, UnitTesting, IntegrationTesting 🏢 Description: Location: Hybrid 2 days per week, based in Warsaw (Czackiego 15/17). We're open to candidates based outside Warsaw, provided the 2-day commitment is realistically sustainable from where you live. Please don't treat this as a starting point for negotiation - we value the structure and consistency it brings and we want you to see the value in it too. If you're based further away, we'll assume openness to relocation is part of the conversation. About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the team Quality Engineering at hx is undergoing a strategic shift. We're moving from an embedded model, where QEs sit in product teams and deliver hands-on testing, to an enablement model, where a small central team builds the tools, standards, and coaching that help every engineer own quality. It's one of hx's boldest engineering experiments: making quality genuinely self-service without sacrificing the rigour our customers rely on. The team sits at the intersection of test automation, AI tooling, release readiness, and organisational change. We're building AI-powered systems that make end-to-end test creation accessible to all engineers, automate failure classification and routing, and provide the standards, guidance, and feedback loops teams need to make better quality decisions independently. That means shaping quality strategy, improving release risk assessment, and establishing lightweight, scalable processes for staging, deployment, and learning from failure. This is strategic work with company-wide impact, requiring technical depth, strong technical judgement, coaching capability, and comfort with ambiguity. As the third member of this newly formed team, you'll join at a pivotal moment. You'll contribute to the managed transition away from embedded QE support, take ownership of AI-powered automation tools still being defined, and build the foundations that allow hx to scale quality across dozens of engineering teams. Your work will shape whether teams can ship independently, whether release processes stay fast and trusted as we grow, and whether hx can maintain velocity without compromising reliability. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Accelerate the development and adoption of hx's AI-powered end-to-end test writing agent, improving its accuracy and framework coverage to the point where at least 15 engineers across 5+ teams are independently writing E2E tests within six months of widespread release. Design and deploy an AI-powered nightly build analyser that automatically classifies test failures and routes them to owning teams, reducing daily manual review effort by 80% and proving reliable enough to extend to the release pipeline. Establish quality self-service foundations for product teams by delivering test design guidance, executable E2E framework documentation (as AI agent specifications), quality standards references, and release risk assessment templates that enable at least three teams to complete release assessments without direct QE involvement. Support the managed withdrawal of QE support from embedded product teams by contributing to fixed-scope deliverables that ensure no critical gaps in E2E coverage or delivery confidence, enabling both current QEs to transition on schedule with no unplanned regressions. Grow E2E test coverage across the organisation through coaching, pairing, and AI tooling support, increasing the number of product teams writing their own E2E tests to at least 50% within the first 12 months. Build credibility and influence across engineering teams by working alongside engineers to solve real quality challenges, demonstrating the value of team-owned quality through concrete examples rather than process mandates, and making quality ownership feel like teams' own goal rather than an external requirement. What you'll need to have done Built AI-powered tools or automations in production environments (e.g., prompt engineering, agent design, RAG pipelines, or CI-integrated analysis), demonstrating the ability to design solutions others rely on rather than just using AI assistants as coding aids. Designed and implemented automated test strategies across multiple test levels (unit, integration, E2E) for complex systems, making sound judgements about what to test at which level and communicating those trade-offs clearly to non-specialist engineers. Owned end-to-end test automation using Python and Playwright (or equivalent frameworks), writing clean, maintainable tests with clear patterns that other engineers can extend, including experience managing flaky test suites and establishing conventions for new automation from scratch. Coached or enabled engineering teams to improve their testing practices through hands-on pairing and mentoring, demonstrating measurable improvements in team capability such as increased test coverage, reduced manual testing dependencies, or improved release confidence. Influenced quality improvements across teams you didn't directly manage, building credibility through practical demonstration and making benefits concrete rather than relying on process mandates or formal authority. Operated effectively in environments characterised by ambiguity and rapid change, taking ownership of problems from identification through to iterative solution, and adapting approach based on feedback without losing momentum. You're unlikely to thrive here if You prefer clearly defined processes and established playbooks over building the systems and standards from first principles in a rapidly evolving environment. You're more comfortable being the person who delivers quality work directly rather than enabling others to build that capability themselves, or you measure success primarily by your own output rather than what teams can achieve independently. You view AI tools with scepticism or aren't genuinely curious about how to apply them practically to solve real engineering problems, or you're unwilling to learn new languages and frameworks as the problem demands. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits Depending on how you choose to join hx (B2B or UoP), your benefits can look like: B2B Share Options at a highly successful Series B company. 25 days of non-working + 14 Polish bank holidays. £5,000 budget for Learning & Development. Mental Health Support and Therapy via Spectrum Life. Optional for you: access to Healthcare package provided by Luxmed + Multisport (fully funded by yourself as B2B Contractor). Top-spec laptop (MacOS or Windows). Contract of employment (UoP) Share Options at a highly successful Series B company. £5,000 budget for learning & development. 26 days of holiday + 14 Polish bank holidays. Company pension. 10 days company sick pay at 100% salary, thereafter in line with labour law. Mental health support and therapy via Spectrum Life. Monthly wellbeing allowance via Juno. Healthcare package provided by Luxmed. Multisport card at Classic level. Top-spec work equipment (MacOS / Windows + additional monitors, mechanical keyboards etc). Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Brain Embassy . Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Talent Partner Screen Hiring Manager Interview Technical Assessment (e.g., code review, system design) Values Interview with Tech Leadership (60 minutes). We Offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page.

🏢 Summary: Hybrid Staff Product Manager role leading the application of AI across enterprise business systems, driving automation and data integrity within Salesforce, FinancialForce, and related SaaS platforms. The position combines strategic product ownership with hands-on GenAI prototyping to validate and scale AI-driven workflow solutions. Focused on integrating LLM and RAG capabilities into real-world business processes such as Order-to-Cash. 🗂️ Requirements: 8+ years Product Management for Enterprise Applications or Business Systems, Experience delivering features within Salesforce, FinancialForce, or Namely ecosystems, Hands-on GenAI prototyping using AI-native tools, Understanding of LLM constraints and RAG integration in business workflows, Deep experience with Salesforce AI (Einstein) or Namely, Knowledge of Order-to-Cash (O2C) and revenue operations, Ability to define AI accuracy standards and error budgets, Experience building prototypes integrating enterprise APIs 📃 Skills: Salesforce, FinancialForce, Namely, Einstein, GenAI, LLM, RAG, APIs, Cursor, Replit 🏢 Description: Staff Product Manager, Enterprise Business Applications (Hybrid 2-3 days per week onsite) Overview: This role leads the application of AI across Weedmaps’ enterprise systems, combining product ownership with hands-on experimentation to transform how business processes operate. The individual will prototype, validate, and scale AI-driven solutions across Salesforce, FinancialForce, and other platforms, focusing on automating complex workflows and improving data consistency. Success in this role requires both strategic judgment and technical fluency—using AI-native tools to rapidly test ideas and drive clarity for engineering teams. This role is a critical bridge between emerging AI capabilities and real-world business impact. The impact you'll make: Enterprise AI Roadmap: Own a roadmap that prioritizes AI-powered enhancements specifically for SaaS Ecosystems (Salesforce, FinancialForce, Namely) and internal business process automation Workflow Integration: Partner with business units to identify manual bottlenecks in Finance, HR, and Sales applying AI to automate complex Order-to-Cash processes, etc. Implementation Prototyping: Use AI-native tools (Cursor, Replit) to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs Operational Standards: Define 'Error Budgets' and accuracy standards for AI outputs within business-critical systems, ensuring brand voice and data integrity are maintained Golden Set Curation: Create and version-control "Golden Sets"—definitive datasets derived from our internal enterprise data—to grade AI performance in real-world business scenarios What you've accomplished: Experience: Staff level: 8+ years; Principal level: 12+ years of experience in Product Management for Enterprise Applications or Business Systems Analyst Domain Expertise: Proven track record of delivering high-impact features within SFDC, FinancialForce, or Namely ecosystems Technical Literacy: Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements and reduce ambiguity for Engineering AI Application: Understanding of LLM constraints (context windows, hallucinations) specifically as they relate to integrating RAG implementations into functional business workflows Platform Mastery: Deep experience with Salesforce AI (Einstein) or Namely Business Transformation: Knowledge of Order-to-Cash (O2C) transformation and revenue operations The base pay range for this position is $177,441 - $193,800 per year 2026 US Benefits for Full Time, Regular Employees: Physical Health (Medical, Dental & Vision) 100% employer-paid premium for employees Up to 80% coverage for dependents Company HSA contribution with the High Deductible Health Plan 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) Basic Life, Voluntary Life and AD&D Insurance options Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings with a monthly company contribution FSA (Medical, Dependent, Transit and Parking) Voluntary Life and AD&D Insurance Critical Illness Insurance Accident Insurance Short- and Long-term Disability Insurance Pet Insurance Identity theft protection Legal access to a network of attorneys PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry’s future; ready to roll with us? See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: Our recruiters will always communicate with candidates through an @weedmaps.com email address. CORRECT: jlebowski@weedmaps.com INCORRECT: jlebowski@gmail.com Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps. If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us! Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

🏢 Summary: This role leads AI-driven transformation across enterprise business applications, focusing on automating complex workflows and enhancing data integrity within platforms like Salesforce and FinancialForce. The position combines strategic product ownership with hands-on GenAI prototyping to validate and scale AI solutions in real-world business processes. It bridges AI capabilities with enterprise systems to drive operational efficiency and clarity for engineering teams. 🗂️ Requirements: 8+ years of Product Management experience in Enterprise Applications or Business Systems, Proven delivery experience within Salesforce, FinancialForce, or Namely ecosystems, Hands-on experience using GenAI tools to build functional prototypes, Understanding of LLM limitations and RAG integration in business workflows, Deep experience with Salesforce AI (Einstein) or Namely, Experience with Order-to-Cash (O2C) processes and revenue operations 📃 Skills: AI, GenAI, LLM, RAG, Salesforce, Einstein, FinancialForce, Namely, Cursor, Replit, APIs, O2C 🏢 Description: Staff Product Manager, Enterprise Business Applications (Hybrid 2-3 days per week onsite) Overview: This role leads the application of AI across Weedmaps’ enterprise systems, combining product ownership with hands-on experimentation to transform how business processes operate. The individual will prototype, validate, and scale AI-driven solutions across Salesforce, FinancialForce, and other platforms, focusing on automating complex workflows and improving data consistency. Success in this role requires both strategic judgment and technical fluency—using AI-native tools to rapidly test ideas and drive clarity for engineering teams. This role is a critical bridge between emerging AI capabilities and real-world business impact. The impact you'll make: Enterprise AI Roadmap: Own a roadmap that prioritizes AI-powered enhancements specifically for SaaS Ecosystems (Salesforce, FinancialForce, Namely) and internal business process automation Workflow Integration: Partner with business units to identify manual bottlenecks in Finance, HR, and Sales applying AI to automate complex Order-to-Cash processes, etc. Implementation Prototyping: Use AI-native tools (Cursor, Replit) to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs Operational Standards: Define 'Error Budgets' and accuracy standards for AI outputs within business-critical systems, ensuring brand voice and data integrity are maintained Golden Set Curation: Create and version-control "Golden Sets"—definitive datasets derived from our internal enterprise data—to grade AI performance in real-world business scenarios What you've accomplished: Experience: Staff level: 8+ years; Principal level: 12+ years of experience in Product Management for Enterprise Applications or Business Systems Analyst Domain Expertise: Proven track record of delivering high-impact features within SFDC, FinancialForce, or Namely ecosystems Technical Literacy: Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements and reduce ambiguity for Engineering AI Application: Understanding of LLM constraints (context windows, hallucinations) specifically as they relate to integrating RAG implementations into functional business workflows Platform Mastery: Deep experience with Salesforce AI (Einstein) or Namely Business Transformation: Knowledge of Order-to-Cash (O2C) transformation and revenue operations The base pay range for this position is $194,200 - $214,704 per year 2026 US Benefits for Full Time, Regular Employees: Physical Health (Medical, Dental & Vision) 100% employer-paid premium for employees Up to 80% coverage for dependents Company HSA contribution with the High Deductible Health Plan 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) Basic Life, Voluntary Life and AD&D Insurance options Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings with a monthly company contribution FSA (Medical, Dependent, Transit and Parking) Voluntary Life and AD&D Insurance Critical Illness Insurance Accident Insurance Short- and Long-term Disability Insurance Pet Insurance Identity theft protection Legal access to a network of attorneys PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry’s future; ready to roll with us? See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: Our recruiters will always communicate with candidates through an @weedmaps.com email address. CORRECT: jlebowski@weedmaps.com INCORRECT: jlebowski@gmail.com Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps. If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us! Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

🏢 Summary: Engineering leadership role to build and scale an AI Labs team developing autonomous AI agents for enterprise commerce. Responsible for defining the architecture, shipping production-grade agentic AI systems, and driving AI-assisted development at startup speed within a pre-IPO environment. The role combines hands-on technical direction with ownership of infrastructure, quality, and engineering execution. 🗂️ Requirements: Proven experience building and scaling high-performing engineering teams, Hands-on expertise in software architecture and system design, Experience shipping AI or LLM-based products to production, Deep knowledge of LLM orchestration and agent architectures, Experience with AI-assisted development tools in engineering workflows, Ownership of infrastructure efficiency, reliability, and product quality metrics, Ability to operate at startup pace with rapid release cycles, Onsite presence in Mountain View, CA 📃 Skills: LLMs, GPT-4, Claude, AgenticAI, Architecture, Orchestration, AIDevelopment, Cursor, OpenSource, Infrastructure, DistributedSystems 🏢 Description: CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.The Problem: We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. What You'll Do: Build the Future of Commerce AI Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away. Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this. Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence. Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events. Build the Team Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop. Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company. Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average. Own Engineering Execution Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them. Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter. What You'll Bring: This is not a caretaker role. We need a builder. Here is what matters: You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point. You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not. You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact. You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast. You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal. You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face. Compensation and Benefits: Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience. Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership. Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus. Why Join Now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

🏢 Summary: Product Manager role focused on defining and delivering an enterprise AI platform that powers agent-based, context-aware experiences across a SaaS product suite. Responsible for AI platform strategy, agent orchestration, architecture decisions, governance, and enabling AI capabilities across multiple applications. The role combines platform engineering, applied AI, and cross-functional leadership to scale secure, enterprise-grade AI solutions. 🗂️ Requirements: 5+ years product management experience in enterprise SaaS or platform companies, Minimum 2 years experience with AI/ML platforms or foundational infrastructure products, Experience building AI/ML platforms including LLM orchestration and agent frameworks, Strong knowledge of platform architecture, API design, and distributed systems, Experience with event-driven systems and real-time communication protocols, Experience shipping AI features with enterprise security, audit, and permission controls, Ability to define governance models and platform abstractions, Bachelor's degree in Computer Science, Engineering, or related field 📃 Skills: AI, ML, LLM, APIs, WebSocket, LangChain, LangGraph, AWS, Bedrock, AgentCore, MCP, SaaS, Architecture, Orchestration, DistributedSystems, EventDriven, Cloud, Security, Audit, Infrastructure 🏢 Description: About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity & About the Team As a Product Manager, AI Platform at Zuora, you will define and deliver the foundational platform that powers all of Zuora's AI capabilities. You'll own the end-to-end architecture—from the agent orchestration layer to user-facing interfaces—that enables intelligent, context-aware experiences across our product suite. Your work will directly shape how enterprise customers interact with AI agents that transform subscription management, billing operations, and revenue intelligence. This role sits at the intersection of platform engineering, applied AI, and product design. You'll partner closely with engineering to build the infrastructure that connects AI agents to applications, manages conversation state and memory, and provides the tools layer that lets agents take meaningful action. Your decisions will determine how AI capabilities scale across Zuora's ecosystem while maintaining enterprise-grade security, auditability, and user control. A critical dimension of this role is cross-organizational leadership. You will interface with application product teams across the entire Zuora suite—Billing, Revenue, Payments, CPQ, and Platform—to enable their AI capabilities and experiences. You'll collaborate across the Product Management organization to ensure a unified, coherent end-to-end user experience. Success requires building strong relationships, establishing shared standards and patterns, and balancing platform consistency with the flexibility teams need to deliver differentiated AI experiences for their domains. *This is a Hybrid position, so you’ll be working in-person in the Foster City office at least 3 days a week, with other days remote. Of course, you’re welcome to come into the office more often if you’re nearby. What You'll Do Own AI Platform Strategy – Lead the roadmap for Zuora's AI Platform, including the agent-to-application interaction layer, orchestration and session management, persona-based agent frameworks, and the centralized tools layer that connects agents to Zuora's services and APIs. Enable AI Across the Zuora Suite – Partner with application product teams across Billing, Revenue, Payments, CPQ, and Platform to enable their AI capabilities. Provide platform components, patterns, and UX standards that allow teams to build domain-specific experiences while ensuring a coherent end-to-end user experience across the product portfolio. Drive Platform Architecture Decisions – Partner with engineering on critical technical choices across the stack: cloud infrastructure services, agent development frameworks, memory and context management, and tool integrations that enable agent capabilities. Build Intelligent User Experiences – Define how AI integrates into Zuora's applications, including contextual awareness, conversational interfaces, and seamless interactions across different entry points and modalities. Establish Enterprise Controls – Own the product strategy for AI governance including permissions, configuration management, audit capabilities, and human-in-the-loop controls that give enterprise customers confidence in AI-assisted operations. Evolve Platform Capabilities – Drive development of foundational features that make AI agents smarter, more personalized, and more useful over time—including memory, context management, automation, and new interaction paradigms. Lead Rapid Iteration Cycles – Establish product feedback loops combining quantitative analytics (usage instrumentation, in-app feedback tracking) with qualitative customer insights (structured interviews, session replay analysis) to enable frequent AI releases and continuous improvement. Drive Cross-Functional Execution – Collaborate across engineering, design, and product teams to deliver cohesive AI experiences. Lead UX audits to ensure consistent component usage and establish decision frameworks for when custom experiences add value versus complexity. Establish External Thought Leadership – Represent Zuora in customer advisory discussions, industry events, and analyst briefings to position Zuora as a leader in enterprise AI platform innovation. About You 5-8+ years of product management experience with demonstrated success at leading enterprise SaaS or platform companies, with at least 2 years focused on AI/ML platforms, developer platforms, or foundational infrastructure products Deep experience building AI/ML platforms, including LLM orchestration, agent frameworks, conversation management, or similar technologies that power intelligent user experiences Strong technical foundation in platform architecture, API design, event-driven systems, and distributed architectures—comfortable partnering with engineering on decisions involving WebSocket protocols, agent orchestration, and memory management Proven success with platform products serving multiple internal and external consumers, including experience defining abstractions, establishing governance models, and balancing platform flexibility with product consistency Strong cross-functional collaboration skills with demonstrated ability to influence and align multiple product teams, establish shared standards, and drive adoption of platform capabilities across an organization Experience shipping AI features to enterprise customers, including navigating requirements around security, audit, permissions, and human-in-the-loop controls Data-driven product development approach with experience instrumenting features, analyzing usage patterns, and using feedback loops to drive rapid iteration Executive presence and ability to influence stakeholders across functions, including engineering leadership and C-level audiences Bachelor's degree in Computer Science, Engineering, or related technical field Nice to Haves Experience with agent frameworks and orchestration (LangChain, LangGraph, AWS Bedrock/AgentCore, or similar) Familiarity with MCP (Model Context Protocol) or similar tool-use patterns for AI agents Background in subscription billing, revenue platforms, or enterprise financial systems (Zuora, Salesforce, Oracle, SAP) Experience with real-time communication protocols and event-driven architectures Track record of building platforms that serve both internal product teams and external developers Advanced degree in Computer Science, AI/ML, or a related field Benefits Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide: Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs Medical, dental, and vision insurance Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy) Learning & development stipend to support ongoing growth Opportunities to volunteer and give back, including charitable donation matching where available Mental wellbeing resources and support *Benefits may vary by location; details will be shared during the interview process #ZEOLife at Zuora ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We: Collaborate deeply across teams and regions Learn constantly and iterate often Build an inclusive, high-performance culture where people feel inspired, connected, and valued Our Commitment to an Inclusive Workplace Think, be and do you.At Zuora, different perspectives, experiences, and contributions matter — everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here.Base Pay Details$146,500—$201,450 USD