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Location: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. This role owns a core set of the platforms the field runs on. You'll administer, configure, and continuously improve them, build AI and automation on top of the CRM to keep it clean and current, and run the adoption programs that make sure the field actually uses what we put in front of them. We're an AI-native company scaling fast, and we want to add sophistication without adding drag — you'll be the person deciding how much system is enough. This isn't a classic Salesforce admin role. You know the ecosystem, but you come at it as a builder and an orchestrator, not a ticket-taker. Central RevOps is the systems and operations center of excellence for Baseten's GTM org. The stack includes Salesforce, Pylon, Outreach, Sales Navigator, Clay, and a growing set of AI-native GTM tools. The field is scaling fast, and the systems need to mature with it without slowing anyone down. You'll co-own Salesforce with our other GTM Systems Manager and work alongside a GTM Engineering team who builds internal AI products for GTM productivity — plus partner closely with sales leadership and the field. RESPONSIBILITIES - Own adminship, configuration, and enablement for Pylon, Gong, Sales Navigator, Outreach, and Prospect. These platforms are yours end-to-end — configured well, enabled with the field, and continuously improved as needs grow. - Run adoption, license forecasting, and vendor management for each of those systems. Own the adoption programs that get the field using them, forecast license needs ahead of growth, and manage the vendor relationships and renewals. - Co-own Salesforce. Partner with our other GTM Systems Manager to keep the CRM configured for how sales actually runs, and act as backup for Deal Operations processes. - Build AI and automation on top of the CRM. Stand up agents and automations that update and maintain the CRM — keeping data clean, current, and trustworthy without adding manual work. - Drive adoption, not just deployment. Document what you build, enable the field, and measure success by whether people actually use it. - Right-size the process. Add just enough structure to scale the company without slowing the field down. Have a point of view on where process helps and where it just gets in the way. REQUIREMENTS - 4+ years in GTM systems, RevOps, or sales/business systems — owning platforms and process end-to-end - Experience building AI and automation on top of a CRM — you've built agents or automations that update and maintain CRM data, not just configured fields - Hands-on adminship and configuration experience across a multi-tool GTM stack (support ops, engagement, prospecting, and enrichment tools) - Working knowledge of the Salesforce ecosystem and data model — enough to co-own the CRM — without wanting to be a career admin - A real appetite for enablement — you care whether the field uses what you build, and you'll run the adoption programs to make sure it does - Experience owning vendor relationships, renewals, and license planning - Judgment on process — you can tell structure that helps the field from structure that slows it down, and you right-size accordingly - Experience in high-growth B2B technology companies, ideally scaling systems as the field grows fast NICE TO HAVE - Fluency with AI and automation tooling (Claude, Clay, n8n, or similar) as a builder, not just a user - Familiarity with a data warehouse and BI environment (Sigma, Hex, BigQuery, Snowflake) on the data layer - Hands-on experience with Pylon - Exposure to Deal Operations, CPQ, or quote-to-cash processes as a backup or contributor - You've inherited a sprawling, redundant stack and made it more intentional without breaking what works BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: New York, NY (HQ); San Francisco, CA; Boston, MA; Chicago, IL; Denver, CO; Miami, FL Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building a new AI business, and you’ll be one of its first technical sellers. Your job is to turn technically complex AI products into closed revenue. You’ll sell a growing portfolio spanning AI-powered applications and agents for finance teams, as well as infrastructure that helps companies deploy and manage AI with greater control, security, and cost efficiency. This is a product-focused, quota-carrying technical sales role. You’ll help customers evaluate and purchase Ramp’s AI products, translating complex capabilities into clear business value and guiding opportunities from discovery through close. This is a high-velocity commercial role, not a traditional pre-sales position where success ends with a great demo. You’ll be accountable for turning technical evaluations into commercial wins from start to finish. You’ll lead discovery, shape deal strategy, build executive-level business cases, deliver tailored demonstrations, navigate technical and commercial objections, and create urgency around a clear path to purchase. You’ll move comfortably between technical and executive conversations. In one meeting, you may discuss model routing, APIs, integrations, data governance, and security with Engineering and IT teams. In the next, you may help Finance and executive leaders understand the ROI, total cost of ownership, and operational impact of adopting Ramp’s AI products. You’ll join at a formative moment for Ramp’s AI business. As one of the first dedicated sellers for these products, you’ll help identify the strongest use cases, refine how we position and sell the portfolio, influence the customer experience, and build the playbook the broader team will eventually scale. You’ll own the full customer lifecycle from discovery and evaluation through close, implementation, and adoption, helping customers translate their purchase into a successful deployment. This role combines Ramp’s resources and customer reach with the ownership, speed, and ambiguity of an early-stage team. WHAT YOU’LL DO - Carry a revenue quota and own the progression of AI product opportunities from initial discovery through purchase, ensuring business value is clear, technical requirements are validated, and obstacles to a decision are resolved. - Lead discovery with business and technical buyers to understand their goals, workflows, challenges, decision criteria, existing systems, and AI strategy. - Translate Ramp’s AI applications and infrastructure into compelling solution narratives tied to measurable business outcomes. - Build ROI and total cost of ownership analyses that quantify the value of Ramp’s AI products and create executive-level justification for investment. - Help customers identify high-value use cases, set realistic expectations, and establish a credible path from evaluation to production. - Deliver tailored demonstrations, technical workshops, and proofs of concept with clear success criteria that establish value and build confidence in a purchase decision. - Build relationships with champions and decision-makers across Engineering, IT, Security, Finance, Operations, Procurement, and executive leadership. - Navigate questions related to APIs, integrations, model capabilities and limitations, data flows, architecture, privacy, security, governance, implementation, and tradeoffs among quality, cost, latency, and control. - Apply strong commercial judgment to qualify opportunities, create urgency, address objections, identify risk, and keep customers moving toward a decision. - Lead customers through implementation after purchase, including deployment planning, stakeholder alignment, workflow design, technical coordination, enablement, and adoption. - Partner with Account Executives and collaborate with Product, Engineering, Security, Marketing, and post-sales teams to remove deployment blockers and deliver a strong customer experience from evaluation through production. - Bring structured customer and market feedback to internal teams to improve the products, positioning, sales execution, and customer experience. - Turn early customer conversations into repeatable messaging, demonstrations, qualification criteria, value stories, and sales plays as we build this go-to-market motion from the ground up. WHAT YOU’LL BRING - 5+ years of experience in Solutions Engineering, Solutions Consulting, technical sales, Solutions Architecture, enterprise software sales, or a related customer-facing role. - Direct quota-carrying or deal-closing ownership of the pre-sale cycle—not only experience delivering demonstrations or supporting post-sale implementation. - A track record of independently influencing and winning complex B2B sales opportunities with clear revenue accountability. - Strong discovery and value-selling skills, with the ability to connect technical capabilities to measurable business outcomes. - Demonstrated ability to build executive-level business cases, including ROI and total cost of ownership analyses; this capability will be central to success in the role. - Commercial instincts and comfort taking meaningful ownership of deal strategy, momentum, and results. - Technical fluency across modern AI systems, including applications and agents, model capabilities and limitations, APIs, integrations, data flows, security, governance, and tradeoffs among quality, cost, latency, and control. - Excellent executive communication and presentation skills, including the ability to make complex concepts clear and relevant to different audiences. - The ability to explain probabilistic, rapidly evolving AI technology with credibility and precision without overpromising what the product can do. - Experience building champions and navigating multi-threaded buying groups with competing priorities. - High ownership, curiosity, sound judgment, and comfort operating in a fast-moving environment where you’ll build structure as you go rather than inherit it. - Energy for zero-to-one work and the opportunity to build a sales motion rather than simply inherit one. NICE TO HAVE - Experience selling AI infrastructure, AI applications or agents, developer tools, data platforms, security products, finance technology, or workflow automation software. - Experience helping launch a new product or develop an early go-to-market motion. - Familiarity with AI gateways, model routing, usage controls, data governance, or enterprise AI deployment. - Experience selling to developers, IT, Security, Finance, Operations, Procurement, or executive stakeholders. - Experience creating reusable sales assets, demonstrations, value frameworks, or enablement programs. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: AZ_Mesa_HQ The Opportunity We're looking for a Product Manager, Corporate Technology who is passionate about solving business problems through technology and driving measurable organizational outcomes. This role will own the strategy, roadmap, prioritization, and lifecycle management of corporate technology products and platforms that support employees and business operations across the enterprise. The Product Manager will serve as the primary bridge between Corporate Technology and business stakeholders, partnering closely with Finance, Accounting, Procurement, Human Resources, Customer Support, Operations, Legal, Compliance, and IT. The role's primary responsibility will be defining and executing the product strategy and roadmap for the company's ERP ecosystem, centered on Oracle Fusion, while also supporting broader Corporate Technology initiatives. This role will work closely with Corporate Technology development and support teams to define priorities, manage competing demands, and ensure technology investments are aligned with business objectives. While all Corporate Technology platforms are within scope, the primary focus of this role will be ownership of the ERP product portfolio, including Oracle Fusion, associated business processes, integrations, reporting capabilities, and related technology investments. The Product Manager will also identify and drive opportunities to leverage AI, automation, and emerging technologies to improve business processes, decision-making, employee productivity, and operational efficiency. This position may provide guidance and leadership to product management employees and contractors while helping mature product management practices across the function. What You'll Do Drive Business Discovery & Strategy Partner with business leaders to understand challenges, opportunities, and operational needs. Lead stakeholder discovery sessions, process reviews, and data-driven analysis to identify opportunities for improvement. Translate business needs into product strategies, roadmaps, and prioritized initiatives. Evaluate emerging technologies, automation capabilities, and AI-driven opportunities that can improve business outcomes. Identify opportunities to apply AI, automation, and analytics capabilities to enhance business processes, improve employee experiences, and deliver measurable business outcomes. Develop business cases and product strategies for AI-enabled capabilities, ensuring alignment with organizational goals, governance requirements, and operational needs. Own the Corporate Technology Roadmap Develop and maintain a prioritized roadmap for Corporate Technology products and platforms, with primary ownership of the Oracle Fusion ERP ecosystem and other enterprise-wide accounting and finance systems. Balance business value, operational efficiency, resource capacity, risk, and technical feasibility when making prioritization decisions. Define product objectives, success metrics, and expected business outcomes. Manage products throughout their lifecycle, from discovery through implementation and continuous improvement. Incorporate AI, automation, and intelligent workflow capabilities into product roadmaps where they create measurable business value and improve operational effectiveness. Partner with Technology Teams Collaborate closely with Corporate Technology development and support teams to deliver roadmap initiatives. Provide clear requirements, business context, and priorities for delivery teams. Participate in planning, prioritization, and release activities. Ensure solutions meet business needs while maintaining operational stability and supportability. Partner with architecture, engineering, data, security, and business teams to evaluate, prioritize, and implement AI-enabled solutions responsibly and effectively. Lead Through Influence Build strong relationships across business and technology teams. Facilitate alignment among stakeholders with competing priorities. Communicate product strategy, roadmap decisions, and business outcomes to senior leadership. Manage and mentor a small number of product management employees and contractors as needed. What We're Looking For Required 5+ years of product management, business systems, enterprise applications, or related experience. Experience managing ERP platforms and enterprise business applications, preferably Oracle Fusion Cloud ERP or a similar enterprise ERP solution. Proven ability to partner with stakeholders and translate business needs into technology solutions. Experience developing and managing product roadmaps and prioritizing competing demands. Experience implementing and managing enterprise technology solutions in regulated environments, including collaboration with Finance, Internal Audit, Compliance, and Technology teams to ensure adherence to SOX, governance, security, and internal control requirements. Strong understanding of business processes across corporate functions such as Finance, HR, Customer Support, Operations, or IT. Experience working closely with software development, engineering, and support teams. Excellent communication, facilitation, and stakeholder management skills. Strong analytical, problem-solving, and decision-making capabilities. Demonstrated experience identifying, evaluating, and implementing AI, automation, and data-driven capabilities to improve business processes, employee productivity, decision-making, and operational outcomes. Understanding of AI governance, data management, privacy, security, and risk considerations associated with enterprise AI solutions. Preferred Deep experience with Oracle Fusion ERP, including financials, procurement, reporting, integrations, and related business processes. Experience with HRIS, ITSM, workflow automation, middleware, enterprise reporting, and adjacent corporate technology platforms. Familiarity with Agile delivery methodologies and product management frameworks. Experience with platforms such as Oracle Fusion, Workday, ServiceNow, Salesforce, MuleSoft, Microsoft Power Platform, SAP, or similar technologies. Experience evaluating, implementing, or managing enterprise AI platforms and capabilities, including generative AI, intelligent automation, agentic workflows, copilots, or predictive analytics solutions. Experience in a regulated or compliance-focused environment. What Success Looks Like A well-defined and transparent Corporate Technology roadmap aligned to business priorities. Strong partnerships with business stakeholders across the enterprise. Successful delivery of initiatives that improve efficiency, automation, employee experience, and operational effectiveness. Effective prioritization and governance of technology investments. Measurable business value and adoption from Corporate Technology platforms and services. Successful identification and deployment of AI and automation capabilities that drive measurable improvements in productivity, operational efficiency, and employee experience. Adoption of AI-enabled business capabilities that deliver quantifiable business value while maintaining appropriate governance, security, and compliance controls. A collaborative, high-performing relationship between business stakeholders and Corporate Technology teams. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: San Francisco; New York Workplace: Hybrid About Alchemy Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. About the role Self-serve is how Alchemy grows. The dashboard and the developer experience around it are the primary revenue engine for our flagship products: developers discover us, sign up, get to their first call, scale their usage, and upgrade largely without ever talking to a person. That funnel is one of the most direct levers on company-level revenue we have, and this role owns it. It's also changing fast. A growing share of developers now reach Alchemy through an AI coding agent rather than a browser tab, and we expect agent-mediated usage to become the dominant way our platform is consumed. Building for that shift, our MCP server, agent skills, and AI-native onboarding, sits squarely in this role. You'll run the dashboard as a product, own the self-serve growth engine, and set the experimentation and measurement standard for growth across the company, partnering with Node APIs, Data APIs, Wallets, Transaction Engine, Growth Marketing, and Billing, and spending meaningful time with customers. What you'll own - The dashboard. Own signup, app creation, first key, first call, usage and CU visibility, upgrade paths, team management, and the observability developers need to debug their own traffic. - Developer experience end to end. Docs, SDKs, quickstarts, error messages, sandbox and testnet flows, and the first hour of every integration. Reduce time to first successful call, then time to first paid workload. - Own product-led growth end to end. Design the developer journey from docs, to first API call, to first paid workload, to scaled production spend. Instrument it, find the drop-offs, fix them. - Agent experience (AX). Make Alchemy the default infrastructure an AI coding agent reaches for. Own how our MCP server, agent skills, and machine readable docs perform inside Claude Code, Cursor, and whatever comes next. - Experimentation. Building the A/B and holdout tooling, running pricing, packaging, and onboarding tests, and creating a habit of shipping and learning weekly rather than quarterly. - The truth. Get into the warehouse yourself. Build the funnel, find the cohort that doesn't behave like the average, and bring back the answer nobody wanted to hear. What we're looking for - 10+ years in product, with deep time on developer platforms, APIs, or infrastructure, and direct ownership of a dashboard or console that developers use daily. - Proven product-led growth leadership: you've owned a self-serve funnel at scale and can show what you moved, by how much, and how you know it was you. - Rigorous experimentation practice. You know the difference between a lift and a fluke, you size tests before you run them, and you've built the culture as much as the tooling. - Genuinely analytical. Data Analysis is a normal Tuesday. You can build the model, audit the instrumentation, catch the bad join, and defend the number in front of the exec team. - Truth seeking. You'd rather be corrected in week one than right in a deck in week twelve. You go looking for the disconfirming data. - Cross functional gravity. You've driven outcomes across engineering, design, docs, marketing, sales, and finance without owning any of them. - Customer facing by instinct. You run your own discovery calls, sit in support channels, and can walk a CTO through an integration and a pricing model in the same meeting. - Technical enough to build with our own APIs, prototype with AI agents, and read the code when the answer isn't in the dashboard. - Crypto and web3 experience is a plus. - Benefits and Perks 🏥 Medical, Dental, & Vision 💪 Gym Reimbursement 🖥️ Home Office Build-out Budget 🥙 In-Office Group Meals 🚅 Commuter Benefits 🌴 Flexible Time Off 🧘‍♂️ Wellbeing & Mental Health Perks 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 💸 HSA and FSA Plans 🧬 Fertility Benefits   Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.

Location: San Francisco Perplexity is seeking an Applied AI Architect to help our customers turn Perplexity Computer into working solutions that drive measurable impact. This role is ideal for technical, consultative professionals who have led complex software implementations and can move comfortably between customer discovery, solution design, hands-on delivery, and executive communication. About the role Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end. Our customers are using Computer to transform work that traditional software has not been able to address. Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements. You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome. This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery. You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering. What you'll do - Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers. - Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow. - Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping. - Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to sustained production use and expansion. - Build hands-on. Configure, prototype, test, and iterate on Computer skills and workflows, including connectors, permissions, and adjacent tooling. - Accelerate onboarding and adoption. Provide second-level technical consultation to customer success managers and deliver bounded technical work when customer needs exceed standard Customer Success coverage. - Run strategic engagements. Establish scope, customer commitments, milestones, success criteria, working cadence, and exit criteria, then lead the work through closure. - Improve technical escalation. Validate product and engineering needs and produce decision-ready requests with clear evidence, constraints, impact, and acceptance criteria. - Turn every engagement into leverage. Convert repeated customer needs into reusable workflows, implementation patterns, demos, guidance, and product feedback. What we're looking for The strongest Applied AI Architects combine technical depth, consultative problem solving, and disciplined engagement delivery. You should be comfortable working hands-on with the product, advising customer executives, and managing the details required to deliver a successful outcome. Must-haves - 5+ years in a customer-facing technical role such as solutions architecture, senior sales engineering, AI implementation, forward deployed work, technical consulting, or technical program leadership. - Proven consultative discovery skills. You can turn an ambiguous request into a clear business problem, technical approach, and delivery plan. - Hands-on technical fluency. You are comfortable with APIs, integrations, authentication, identity, permissions, connectors, data flows, and technical troubleshooting. - Experience delivering complex implementations. You have managed scope, stakeholders, milestones, risk, expectations, and closure. - Strong solution judgment. You can distinguish education, configuration, implementation, support, product, and engineering problems and recommend the right path. - Commercial and consumption awareness. You can connect solution design and technical decisions to time to value, usage, credit consumption, customer economics, and expansion potential. - Executive-credible communication. You can explain technical trade-offs to senior decision-makers while working effectively with practitioners and engineers. - High agency in ambiguity. You can establish direction without waiting for perfect requirements, challenge weak assumptions, and make thoughtful decisions quickly. - AI-native working style. You use frontier models and AI tools regularly and have developed strong intuition for what current systems can and cannot do reliably. Nice-to-haves - Experience deploying agents or multi-step LLM workflows in complex enterprise environments. - Experience with Computer, MCP, enterprise identity, security, permissions, or workflow orchestration. - Experience in regulated or workflow-intensive industries such as legal, financial services, healthcare, or technology. - Prior forward deployed engineering, Applied AI, deployment strategist, solutions architecture, or technical consulting experience at an AI or enterprise software company. - A track record of turning customer implementations into reusable technical assets or product improvements.

Location: San Francisco Perplexity is seeking an Applied AI Architect to help our customers turn Perplexity Computer into working solutions that drive measurable impact. This role is ideal for technical, consultative professionals who have led complex software implementations and can move comfortably between customer discovery, solution design, hands-on delivery, and executive communication. About the role Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end. Our customers are using Computer to transform work that traditional software has not been able to address. Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements. You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome. This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery. You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering. What you'll do - Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers. - Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow. - Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping. - Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to sustained production use and expansion. - Build hands-on. Configure, prototype, test, and iterate on Computer skills and workflows, including connectors, permissions, and adjacent tooling. - Accelerate onboarding and adoption. Provide second-level technical consultation to customer success managers and deliver bounded technical work when customer needs exceed standard Customer Success coverage. - Run strategic engagements. Establish scope, customer commitments, milestones, success criteria, working cadence, and exit criteria, then lead the work through closure. - Improve technical escalation. Validate product and engineering needs and produce decision-ready requests with clear evidence, constraints, impact, and acceptance criteria. - Turn every engagement into leverage. Convert repeated customer needs into reusable workflows, implementation patterns, demos, guidance, and product feedback. What we're looking for The strongest Applied AI Architects combine technical depth, consultative problem solving, and disciplined engagement delivery. You should be comfortable working hands-on with the product, advising customer executives, and managing the details required to deliver a successful outcome. Must-haves - 5+ years in a customer-facing technical role such as solutions architecture, senior sales engineering, AI implementation, forward deployed work, technical consulting, or technical program leadership. - Proven consultative discovery skills. You can turn an ambiguous request into a clear business problem, technical approach, and delivery plan. - Hands-on technical fluency. You are comfortable with APIs, integrations, authentication, identity, permissions, connectors, data flows, and technical troubleshooting. - Experience delivering complex implementations. You have managed scope, stakeholders, milestones, risk, expectations, and closure. - Strong solution judgment. You can distinguish education, configuration, implementation, support, product, and engineering problems and recommend the right path. - Commercial and consumption awareness. You can connect solution design and technical decisions to time to value, usage, credit consumption, customer economics, and expansion potential. - Executive-credible communication. You can explain technical trade-offs to senior decision-makers while working effectively with practitioners and engineers. - High agency in ambiguity. You can establish direction without waiting for perfect requirements, challenge weak assumptions, and make thoughtful decisions quickly. - AI-native working style. You use frontier models and AI tools regularly and have developed strong intuition for what current systems can and cannot do reliably. Nice-to-haves - Experience deploying agents or multi-step LLM workflows in complex enterprise environments. - Experience with Computer, MCP, enterprise identity, security, permissions, or workflow orchestration. - Experience in regulated or workflow-intensive industries such as legal, financial services, healthcare, or technology. - Prior forward deployed engineering, Applied AI, deployment strategist, solutions architecture, or technical consulting experience at an AI or enterprise software company. - A track record of turning customer implementations into reusable technical assets or product improvements.

Location: San Francisco Workplace: OnSite 🧠 ABOUT LEGION HEALTH At Legion Health https://legionhealth.com/, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together.   🚀 THE ROLE Hey, I'm Daniel G Wilson https://www.linkedin.com/in/danielgwilson/, co-founder and CTO at Legion. I studied applied math and CS at Princeton, led the Office Scripts and Power Automate integration at Microsoft, and did deep learning and RL research before that. GitHub: https://github.com/danielgwilson I'm hiring a principal-level engineer to own the hardest systems in our care platform, whole. Not tickets, not a lane inside someone else's architecture: entire problem spaces, from "this is a mess" to "this is done and here's the doc." Here's the honest shape of the job. We run a regulated clinical product (we e-prescribe controlled substances) on an event-driven TypeScript platform, and we ship at unusual velocity with heavy agent leverage. The engineers who have thrived here share one behavior: I hand them a gnarly domain, they disappear into it, and they come back with it working, documented, and theirs. I don’t need to check their work or meddle, because checking isn’t unnecessary. That’s the seat. The people who have struggled here waited for scoped tickets to tell them what to do—but that’s what we have agents for.   ✅ WHAT YOU'LL OWN Real domains, picked together in week one from this list, with written authority over them: - The factory spine. Own the question of how we get maximum leverage in the era of agentic engineering. We ship 500–1,000 PRs a month with a lean team. Merge gates, migration safety, canary and rollback on a system where a bad deploy can touch patient care—this all works today. Your job will be to move us towards 10,000 while maintaining quality and rigor. - The clinical work spine. Our event-sourced system of record for clinical work (orders, tasks, commands, receipts): the layer that lets AI agents and humans act on patient care with auditability and fail-closed checks. You’ll own the guardrails that ensure agents can safely provide broader and broader components of care. - Agent operations in production. LLM agents doing real clinical-adjacent work with tool use, checks, and receipts. You decide how autonomy expands and ratchets upwards as proof accumulates. Your agent harness will help prescribe psychiatric medication, legally, at the second company ever allowed to. - The data and metrics estate. Warehouse, analytics platform, and the pipelines that tell us what actually happened. - Architecture syncs with me. You'll have the standing I give someone who has seen more systems than I have: disagree with me, make the call in your domain, unpack it for the team when asked.   🏆 WHAT "A FIT" LOOKS LIKE, CONCRETELY - You've owned architecture across multiple companies or many codebases: staff-plus IC, chief-architect, or platform-consulting background. You've seen a dozen ways teams ship and you have opinions with scars behind them. - You ship daily at high volume with a fleet of AI agents. That’s table stakes. In the interview we'll ask to see your actual setup and what you let it do unsupervised. "I use Copilot sometimes" is not this. - When handed an ambiguous, ugly, load-bearing problem, your instinct is to take it whole: read everything, decide, build, write the doc, tell us what you decided. Not to schedule a meeting about scope. - You communicate proactively in writing. The pattern we love: a Sunday text that says "took care of it, here's the PR and what I changed." - You hold clinical-grade correctness without losing speed: auditability, HIPAA, fail-closed defaults, invariants over vibes. This is a senior seat. Typically that means 10+ years and multiple systems owned end to end, but we care about the scars, not the number. We have separate openings for earlier-career engineers; this is not that. We need someone who’s seen some shit. This role is not for you if you want to manage instead of build, you need well-scoped tickets to be productive, or big-company pace feels normal to you.   💻 OUR TECH STACK - TypeScript, Node.js, Postgres, Next.js on Vercel, AWS, production LLM agent orchestration and bespoke harnesses, tools, CLIs, skills, evals and observability, EHR and e-prescribing integrations, PHI-grade security and audit trails.   📍 ROLE LOGISTICS, COMPENSATION, AND BENEFITS - Job type: Full-time - Role type: Engineering - US Visa Sponsorship: Yes - Salary: $250,000 to $400,000 depending on experience, plus meaningful early-stage equity in a category defining company. - Health Insurance: Medical, dental, and vision benefits - Additional Perks: In-person retreats, meal stipends, etc. - Time Off: Flexible, unlimited vacation policy - Work hours: flexible but demanding—because we are (literally) saving lives. - Work Setup: In-person @ San Francisco HQ; partial remote considered for exceptional candidates (our track record includes both). - Impact: Work on something that truly matters to millions of patients and families. - Autonomy and Learning: Ownership over your projects with the freedom to set priorities, shape processes, and drive outcomes end-to-end. - Growth Opportunities: As we scale, we envision our top performers stepping into expanded roles and joining our executive leadership team.   🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.

Location: New York, New York; San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. NICE TO HAVES: - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $165,000 - $205,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: India - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: You will assess a prospect’s technical requirements and apply extensive knowledge of Chainguard products to illustrate how a deal will satisfy the client’s unmet needs. You will cultivate relationships with decision-makers at all levels of an organization and negotiate the competing needs of multiple stakeholders within an organization. You will secure technical wins using methods such as demos, RFP/RFI responses, lead POVs, partner with engineering for requested features, and participate in conferences and industry events (when applicable). What you'll do: Partner with our Sales Team to help customers evaluate and prove the value of our solution Focus on acquiring new customer “logos” in addition to growing existing customer base Own all technical aspects of sales opportunities and assisting current customers understand the value of Chainguard Day to day responsibilities include: Listen to our customers and understand their challenges Conduct product demonstrations and POVs/POCs Actively participate in webinars, meetups, conferences and other marketing initiatives What we're looking for: Experience as a Sales Engineer / Pre-Sales Engineer Experience with MEDDPICC and or Command of the Message sales frameworks Experience selling into Enterprise (3+ years) and Mid Market prospects Experience in the following areas: Container technologies (Kubernetes, Serverless, Docker) Cloud technology (AWS, Azure, Google, etc.) Cloud security or containers security App Security Startup experience Smart and passionate people that can persevere to success. People acting as trusted advisors, able to build credibility with customers. Strong team players committed to help and mentor their peers. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon 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 also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: London; New York City Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE Synthesia is the #1 Enterprise AI video generation since 2016, and today we work with 90% of the Fortune 100. Our core product, Studio, lets anyone turn a script into a polished video with an AI avatar, no camera or crew required. Now we're entering a new chapter. We're making those avatars interactive. Instead of watching a video, people can have a real conversation with one: ask it questions, practice a sales pitch, run through a training scenario, get answers back in real time. That shift needs a story, and you own it. As Head of Product Marketing, you lead the function that decides how the whole product line is positioned, messaged, and launched. Video, interactive avatars, the API, and whatever comes next. You'll set the platform narrative and keep it sharp as the product evolves. You'll run launches across the portfolio, own competitive strategy and buyer research, and set the messaging that sales, web, and campaigns all run on. You'll lead a team of five PMMs, hire into it, and raise the bar for what good looks like. WHAT YOU'LL DO - You build and deploy agents. You've automated real parts of your own PMM work with them, whether that's competitive tracking, research synthesis, or launch ops. - You've led a portfolio of products and built or grown the team behind it. - You set positioning and narrative at the company level, the top-line story everything else ladders up to. - You're an excellent communicator, written and spoken. Your have experience managing senior stakeholders and complex program management. - You partner closely sales enablement, and can support complex enterprise GTM motions. COMPENSATION The base salary range for this position is £140,000 - £180,000. We also offer equity and a comprehensive benefits package. Individual compensation will depend on experience, skills, and location.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is looking for an exceptional Senior Solutions Engineer to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What will I be doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What skills do I need? Minimum of 5 years of experience in a technical pre-sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally *Proof of eligibility to work in the United States is required. The OTE salary range for candidates within the Greater Chicago Area is $208,170-$248,650 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is looking for an exceptional Senior Solutions Engineer to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What will I be doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What skills do I need? Minimum of 5 years of experience in a technical pre-sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally *Proof of eligibility to work in the United States is required. The OTE salary range for candidates within the San Francisco Bay Area is $231,300-$276,275 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Seattle, WA WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU AI models are advancing at an extraordinary pace, but AI is only as powerful as the information it can securely access. This is an opportunity to sell a platform at the center of one of the most significant technology shifts of our generation. Enterprises increasingly need a neutral, secure platform that can connect their content and workflows to the best AI models and agents regardless of which model or vendor our customers use. Box provides that foundation. With integrations and capabilities spanning platforms, Box is becoming the connective tissue between enterprise content and the rapidly evolving world of AI. We're entering the AI-first era of business, where AI agents are joining the workforce: they can search, reason, analyze, and generate content autonomously, all while respecting enterprise permissions and governance. With AI solutions, Box is redefining what it means to turn unstructured content into structured, actionable intelligence. As an Enterprise Account Executive, you'll be on the front lines of helping customers capitalize on this massive shift, at a moment when the opportunity to transform how the world works with content and AI has never been greater. We need strong sellers to help new customers realize their digital transformation goals while evolving how our current customer base leverages Box.  By joining the Box Enterprise Sales team you will play a critical role in helping the world's largest organizations navigate this transformation. You will work with CIOs, CTOs, CISOs, business leaders, developers, and other senior executives to rethink how their organizations manage, protect, and activate enterprise content in the age of AI. WHAT YOU'LL DO Develop and execute sophisticated account strategies across some of the world's largest and most innovative organizations Research and understand your customers and prospects to gain insight into their business challenges and Box value proposition Exercise judgment in selecting methodologies, techniques and evaluation criteria throughout the sales process Build trusted relationships with C-suite and senior technology, security, data, and business executives Identify high-value business problems where Box can drive measurable transformation Help customers understand how secure enterprise content can become a critical foundation for AI and intelligent automation Orchestrate internal resources across Solutions Engineering, Customer Success, Product, Marketing, Partners, and Executive Leadership Maintain rigorous pipeline management, forecasting, and opportunity execution WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 7+ years of work experience in Sales with a track record of success Demonstrated adaptability in learning about new technology and products Have experience selling to large, sophisticated organizations with complex buying environments Effectively uses a repeatable method for uncovering greenfield opportunities and building out a new territory Experience in building professional relationships with a diverse range of stakeholders, including senior executives Operate with strong business acumen and understand how technology decisions connect to broader organizational priorities Have a track record of success selling enterprise SaaS, cloud, data, cybersecurity, AI, or other strategic technology solutions This is a field sales position with travel requirements up to 50%. EQUAL OPPORTUNITY 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, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual OTE range is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . United States Pay Range $277,000 — $330,000 USD

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a Regional Sales Director in the West Region, you’ll report directly to the VP, Employer Sales- West. The Regional Sales Director will deliver strong sales results within the West market in the 1,000-9,999 life segment. This role’s focus is relationship management within our partnership ecosystem of benefits brokers, consultants, general agents, and employers. It is a build-and-close role with real autonomy: you run your own book, take on the hardest deals, and shape how your region wins. Every partner you bring on puts higher-quality, lower-cost care in reach for more members. What you will do Own revenue responsibilities for your specific territory in the West market, which includes: OR, ID, MT, HI Own a quarterly quota, delivering on it independently and taking on the most complex and cross-functional deals with minimal support. Build and grow the region's base of brokers and advisors, activating new partners and deepening the highest-producing ones. Personally develop and win the region's most strategic Gold Advisor relationships. Shape territory strategy alongside your partner roles (Enterprise, AE, CR, and peer RDs), sharing what is working across the region. What we're looking for Experience in a quota-carrying sales or sales support role Experience working with benefits brokers and consultants Experience in health insurance strongly preferred A desire to work in a rapidly evolving startup environment with notable upside A desire to be a part of our mission to improve the healthcare system Strong ability to present and communicate a value proposition to external stakeholders A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The target  total comp (inclusive of base + commission) range for this role is $275,000 – $300,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Staff Engineer, Enterprise Security About the job As a Staff Enterprise Security Engineer, you will be a technical leader within the EntSec team, responsible for the foundational security posture of our organization. You will serve as an SME on the technical strategy and engineering execution for securing the AI ecosystem in our Enterprise, moving beyond policy into building the foundational "decision infrastructure" and technical guardrails that allow the enterprise to innovate with AI at scale. You will also guide strategic direction and collaboration across enterprise security domains. You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems. Leveraging expertise in security assessments,  threat modeling, identity and access control principles, and data protection, you will architect and build preventative guardrails and mitigate new risks introduced by first and third-party AI agents in our Enterprise. Responsibilities Design and implement secure reference architectures for Enterprise AI platforms that secures every Twilion’s engagement with them, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats. Establish a definitive framework for AI vetting, driving the cultural and policy shifts needed to institutionalize this strategic mindset across the organization. Collaborate with cross functional partners to develop and set the long term roadmap for agentic AI identity and posture management, ensuring cohesive strategies for reducing risk from agentic AI use. Maintain and improve our enterprise security posture through high-quality code (Python, Go, or similar) and infrastructure management via IAC. Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape. Qualifications: Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. Required: 7+ years of experience in security engineering or infrastructure security 2+ years of experience leading teams in a technical capacity/staff engineering capacity at an enterprise. Expertise in cloud security (AWS, GCP) and container security (Kubernetes). Proven track record of designing and deploying complex security systems at scale. Strong proficiency in programming languages such as Python, Go, or Java. Desired: Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools. Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. . The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164.640 - $205,800. Based in the San Francisco Bay area, California: $182,960 - $228,700. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until December 21, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon 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 also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Staff Full Stack Engineer to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements . Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements Mentor senior engineers and act as a technical multiplier across the org Contribute to and help shape technical direction for Mattermost’s open-source codebase What We Are Looking For Required: Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end Proven experience designing and owning distributed systems or high-availability service architecture at scale Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Demonstrated ability to influence technical direction across multiple teams without relying on formal authority Experience mentoring senior engineers and raising the technical bar for a broader team Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements) Nice to Have: Prior experience operating as a staff, principal, or technical lead engineer at another company Experience maintaining (not just contributing to) an open-source project Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR) Experience helping scale engineering practices or standards across a growing organization Background in defense, intelligence, or critical infrastructure products Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Compensation Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions. Target Salary Range: $172,724 – $227,135 U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: Toronto, Ontario, Canada Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Staff Full Stack Engineer to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements . Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements Mentor senior engineers and act as a technical multiplier across the org Contribute to and help shape technical direction for Mattermost’s open-source codebase What We Are Looking For Required: Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end Proven experience designing and owning distributed systems or high-availability service architecture at scale Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Demonstrated ability to influence technical direction across multiple teams without relying on formal authority Experience mentoring senior engineers and raising the technical bar for a broader team Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements) Nice to Have: Prior experience operating as a staff, principal, or technical lead engineer at another company Experience maintaining (not just contributing to) an open-source project Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR) Experience helping scale engineering practices or standards across a growing organization Background in defense, intelligence, or critical infrastructure products Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Compensation Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions. Target Salary Range: $195,001 – $238,965 Canada Eligibility & Compliance Candidates must be legally authorized to work in Canada without current or future sponsorship. This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered. Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls. Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.