Luxury Presence

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. Why This Role Matters Our GTM Analytics team owns the metrics that run the business for Sales, Marketing, and Client Success. We're past the phase of standing up basic reporting — we're now building a modern, agentic analytics practice, including Lighthouse, our internal BI-as-code platform, where dashboards, metrics, and semantic definitions live in version-controlled code rather than scattered across disconnected tools. This role is a chance to shape that next chapter. You'll partner directly with Sales, Marketing, and CS leaders to answer their hardest questions about pipeline, funnel conversion, campaign performance, and retention, while helping build the infrastructure and AI-forward workflows that let the whole GTM org get trustworthy answers faster. You'll report to our Senior Manager of Analytics and work in tight, two-week sprints alongside Analytics Engineering, so you'll see your work ship and get used — fast. What You'll Do GTM Analysis & Decision Support Deliver decision-ready analysis across Sales, Marketing, and Client Success: pipeline health, funnel conversion, campaign and channel performance, cohort/retention, and GRR/NRR drivers. Partner directly with Sales, Marketing, and CSM stakeholders to scope questions, frame recommendations, and see analysis through to a decision — not just a dashboard handoff. Bring structure to ambiguous asks — translate a stakeholder's question into a clear, testable analytical approach. Data Modeling & Quality Build and maintain dbt models and marts for Sales, Marketing, and CS domains, with Salesforce as a core source system. Own data quality and documentation for your domain: clear definitions, source-of-truth tables, and QA that stakeholders can trust without double-checking. Lighthouse & Agentic Analytics Contribute to Lighthouse, our BI-as-code platform, as we build it out — help define how dashboards, metrics, and semantic models get written, versioned, and reviewed like software. Note: Lighthouse is an active build, not a finished platform — you'll be shaping it, not just using it. Push our analytics workflows toward agentic AI: using AI agents to accelerate analysis, automate recurring reporting, and cut down on manual, one-off dashboard requests. Bring a point of view on where AI can replace manual analyst work versus where it can't — you should be as comfortable prompting and evaluating an agent as writing the SQL yourself. How You'll Work Operate in two-week sprints, planning and prioritizing your own backlog against team OKRs alongside your manager. Give clear, proactive status updates to stakeholders rather than waiting to be asked. What We're Looking For Experience 5+ years in analytics/BI, with meaningful time supporting Sales, Marketing, or Customer Success functions at a fast-growing company. Staff-level candidates should bring deeper scope — larger or more ambiguous problems owned end-to-end, and a track record of setting technical direction, not just executing against it. Expert SQL and hands-on dbt experience modeling GTM data. Comfortable with Python for analysis and automation — this isn't a heavy ML/stats role, but you know how to script your way out of manual work. Experience with Salesforce as a data source — you understand CRM objects, fields, and the quirks of modeling data. Familiarity with a modern data stack: Fivetran or similar EL tooling, and a cloud warehouse (we run Snowflake; BigQuery experience also welcome). BI & AI Fluency Experience with at least one modern BI tool (Sigma, Hex, Tableau, Looker, or similar) is a strong plus, not a hard requirement — what matters more is that you understand how modern BI organizations operate: governed semantic layers, self-serve dashboards, and BI-as-code approaches. Genuine curiosity about agentic analytics — you've used AI agents or LLM tools to speed up analysis, and you want to help define what that looks like at scale. We build with Claude day-to-day, so hands-on experience with Claude Code (or a similar coding agent like Codex) is a big plus — you'll use it to move faster on dbt models, scripting, and analysis, not just as a novelty. Mindset Strong communicator who can frame a recommendation clearly for a non-technical stakeholder and defend it under questioning. Comfortable with the accountability of owning a deliverable through to closure, not just the analysis in the middle. Energized by ambiguity and fast iteration — two-week sprints mean you'll ship early and often. Compensation Additional Information Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future b

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. The Opportunity We're hiring a Senior DevOps Engineer to build the AI-native, self-service infrastructure platform that powers how Luxury Presence ships software. It's a platform where every developer, human or agent, can validate a change in minutes, understand failures immediately, and ship confidently. You'll join a small, high-leverage Infrastructure team with a clear mandate: multiply what every engineer and agent can do through automation, self-service, and guardrails-by-design. The goal is a platform where self-service is the default and human intervention is the exception, and you'll help make that real. What You'll Do Build and operate the self-service infrastructure platform. Make the right thing the easy thing, and the secure thing the default. Build the golden paths engineers and agents ship on. Within a technical direction set by the team's Staff engineers, build and operate the layers they rely on (a unified CI/CD pipeline, GitOps-based delivery with ArgoCD, an IaC module catalog, and scaffolding for new services), owning specific components end to end. The goal is for engineers and agents to provision infrastructure and ship changes within guardrails, without hand-writing Terraform/Kustomize or waiting on a ticket. Make agents first-class developers. Help generalize our agent isolation pattern into reusable platform primitives: sandboxed runtime, workload identity, audit trails, and approval gates. Every agent action runs on the same identity, audit, ownership, cost-attribution, and approval rails as a human. Build and operate the validation platform and quality gates. Provide the rails that teams validate changes on before production: ephemeral PR environments with auto-teardown, plus the security, performance, and load-testing gates developers rely on. Implement new gates as coverage grows, keep them fast and low-flake, and drive services onto them. Make gate and test results machine-readable and callable outside the PR flow, so agents and humans alike can act on a failure directly. Own the reliability and observability of what you build. Create the dashboards and operational controls that make the surfaces you own observable and improvable as throughput grows: gate pass rates, approval-rate and self-service-ratio trends, common failure modes, cost attribution, and DORA metrics surfaced to teams. Carry on-call for those surfaces and run incidents from detection through follow-up, turning recurring toil into automation and runbooks other engineers reuse. What We're Looking For Senior-level experience in SRE, DevOps, or Platform Engineering. You've built and operated production infrastructure at scale and can own a significant workstream end to end with limited oversight. An active, opinionated use of AI development tools (Claude Code, Codex, etc.) in your own infrastructure workflow: Terraform changes, Kubernetes debugging, automation, operational investigations. You have a point of view on where these tools help and where they don't. Deep Kubernetes (EKS) and AWS experience (IAM, VPC, ECR, SSM/Secrets Manager, S3, SQS, Lambda, RDS/Aurora). Strong IaC (Terraform) and GitOps experience, including PR-driven apply workflows (Atlantis or similar) and ArgoCD. CI/CD depth (GitHub Actions), including caching/parallelism, artifact management, test reliability, and pipeline observability. Full incident-ownership experience: you've carried on-call for systems you built and driven incidents from detection through follow-up. Excellent cross-team communication: you can translate platform constraints into developer-friendly solutions and documentation. Bonus Points Identity, access, and policy-as-code experience: workload/service identity (SPIFFE/SPIRE, OIDC), short-lived credentials, secrets management (Vault), and policy enforcement. Experience building self-service developer platforms, ephemeral environments, CLIs, scaffolding tools, or internal developer portals (Backstage or custom). You treat infrastructure as a product. Cost-awareness: you've built cost attribution, budgets, or rightsizing into a platform. Our Tech Stack Infrastructure: AWS, EKS, Terraform (with Atlantis), Vault, Docker, OPA (Open Policy Agent). CI/CD: GitHub Actions, ArgoCD + Kustomize (GitOps). Messaging: Kafka (Confluent Cloud). Observability: Datadog, OpenTelemetry. Languages/Apps: Node.js/TypeScript microservices, Python, React front-ends. Compensation Additional Information Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companie

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. The Opportunity We don't just use AI. We build with it, ship with it, and think with it. With a generous budget for tokens, our engineers use AI agents to write, review, and ship production code every day. We are building toward a world where humans design systems and AI builds them, and we are already far along that path. We are hiring a hands-on Engineering Manager to lead Maps & Search . This team owns the home search experience across web and mobile. It's one of the most visible, highest-traffic surfaces–the search service alone handles a billion requests every month . This is a role for a manager who leads from the front: someone who still lives in their terminal with AI, has strong opinions about how AI changes the SDLC, and wants to amplify what a small, senior, AI-augmented team can accomplish. You will set technical direction, stay close to the code, and help the team produce consistent impact. What You'll Do Lead and grow the Maps & Search team. Own hiring, onboarding, coaching, 1:1s, direct feedback, and career development. Treat management as a craft and build a healthy, high-performing team that ships impactful changes. Stay hands-on. Contribute directly — code and design reviews, architecture, thorny debugging— and stay technical enough to make smart calls on trade-offs. Own and scale a high-throughput search platform. Drive the architecture, relevance, latency, and reliability of a real estate search system handling ~1B monthly requests and hundreds of millions of listings. Deliver a world-class home search experience. Own the core home discovery experience across web and mobile — improving engagement, lead conversion, and agent workflows while keeping interactions fast and responsive at scale. Push forward AI-powered discovery. Partner across teams to bring LLMs and intelligent ranking into search and user workflows, improving how buyers and agents discover, filter, and engage with listings. Shape the roadmap with product and design. Define what we build and why , not just focusing on the how . Translate user needs and business goals into a clear technical plan, and own delivery end to end — planning, quality, reliability, and incident response. What We're Looking For Attributes You lead from the front. You're still close to the code and technically respected, and you treat management as a craft — growing engineers, giving clear feedback, and building a team that ships. You already build with AI daily. You use AI as a core part of your workflow, not as a novelty — and you expect your team to as well. You have strong opinions, loosely held , about how AI changes software architecture, team structure, and engineering culture. You think in systems. You connect technical decisions to customer outcomes and business value. You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders. You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real. You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together. Skills and Experience 8+ years of professional software engineering experience with meaningful senior or staff-level time, plus 2+ years managing engineering teams. Search experience — you've worked on search, relevance, ranking, or retrieval systems. It doesn't have to be OpenSearch or Elasticsearch specifically, but you understand how search works and how to make it better. Deep expertise in TypeScript, Node.js, and React, with the full-stack fluency to reason about the whole request path from UI to data. Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred). Strong understanding of GraphQL, event-driven systems (Kafka), and databases (PostgreSQL, OpenSearch). A proven track record operating high-traffic, low-latency production systems at scale — SLOs, incident response, and capacity planning are second nature. Experience leading high-impact initiatives from concept through production in a SaaS environment. Tech Stack Frontend: React, Tailwind, Apollo Backend: Node.js / TypeScript microservices Data: PostgreSQL, OpenSearch Infrastructure: AWS, Kubernetes, Lambda Messaging: Kafka, Redis Compensation Additional Information Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. The Opportunity We don't just use AI. We build with it, ship with it, and think with it. With a generous budget for tokens, our engineers use AI agents to write, review, and ship production code every day. We are building toward a world where humans design systems and AI builds them, and we are already far along that path. We are hiring a hands-on Engineering Manager to lead Maps & Search . This team owns the home search experience across web and mobile. It's one of the most visible, highest-traffic surfaces–the search service alone handles a billion requests every month . This is a role for a manager who leads from the front: someone who still lives in their terminal with AI, has strong opinions about how AI changes the SDLC, and wants to amplify what a small, senior, AI-augmented team can accomplish. You will set technical direction, stay close to the code, and help the team produce consistent impact. What You'll Do Lead and grow the Maps & Search team. Own hiring, onboarding, coaching, 1:1s, direct feedback, and career development. Treat management as a craft and build a healthy, high-performing team that ships impactful changes. Stay hands-on. Contribute directly — code and design reviews, architecture, thorny debugging— and stay technical enough to make smart calls on trade-offs. Own and scale a high-throughput search platform. Drive the architecture, relevance, latency, and reliability of a real estate search system handling ~1B monthly requests and hundreds of millions of listings. Deliver a world-class home search experience. Own the core home discovery experience across web and mobile — improving engagement, lead conversion, and agent workflows while keeping interactions fast and responsive at scale. Push forward AI-powered discovery. Partner across teams to bring LLMs and intelligent ranking into search and user workflows, improving how buyers and agents discover, filter, and engage with listings. Shape the roadmap with product and design. Define what we build and why , not just focusing on the how . Translate user needs and business goals into a clear technical plan, and own delivery end to end — planning, quality, reliability, and incident response. What We're Looking For Attributes You lead from the front. You're still close to the code and technically respected, and you treat management as a craft — growing engineers, giving clear feedback, and building a team that ships. You already build with AI daily. You use AI as a core part of your workflow, not as a novelty — and you expect your team to as well. You have strong opinions, loosely held , about how AI changes software architecture, team structure, and engineering culture. You think in systems. You connect technical decisions to customer outcomes and business value. You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders. You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real. You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together. Skills and Experience 8+ years of professional software engineering experience with meaningful senior or staff-level time, plus 2+ years managing engineering teams. Search experience — you've worked on search, relevance, ranking, or retrieval systems. It doesn't have to be OpenSearch or Elasticsearch specifically, but you understand how search works and how to make it better. Deep expertise in TypeScript, Node.js, and React, with the full-stack fluency to reason about the whole request path from UI to data. Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred). Strong understanding of GraphQL, event-driven systems (Kafka), and databases (PostgreSQL, OpenSearch). A proven track record operating high-traffic, low-latency production systems at scale — SLOs, incident response, and capacity planning are second nature. Experience leading high-impact initiatives from concept through production in a SaaS environment. Tech Stack Frontend: React, Tailwind, Apollo Backend: Node.js / TypeScript microservices Data: PostgreSQL, OpenSearch Infrastructure: AWS, Kubernetes, Lambda Messaging: Kafka, Redis Compensation Additional Information Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. Why This Role Matters Our GTM Analytics team owns the metrics that run the business for Sales, Marketing, and Client Success. We're past the phase of standing up basic reporting — we're now building a modern, agentic analytics practice, including Lighthouse, our internal BI-as-code platform, where dashboards, metrics, and semantic definitions live in version-controlled code rather than scattered across disconnected tools. This role is a chance to shape that next chapter. You'll partner directly with Sales, Marketing, and CS leaders to answer their hardest questions about pipeline, funnel conversion, campaign performance, and retention, while helping build the infrastructure and AI-forward workflows that let the whole GTM org get trustworthy answers faster. You'll report to our Senior Manager of Analytics and work in tight, two-week sprints alongside Analytics Engineering, so you'll see your work ship and get used — fast. What You'll Do GTM Analysis & Decision Support Deliver decision-ready analysis across Sales, Marketing, and Client Success: pipeline health, funnel conversion, campaign and channel performance, cohort/retention, and GRR/NRR drivers. Partner directly with Sales, Marketing, and CSM stakeholders to scope questions, frame recommendations, and see analysis through to a decision — not just a dashboard handoff. Bring structure to ambiguous asks — translate a stakeholder's question into a clear, testable analytical approach. Data Modeling & Quality Build and maintain dbt models and marts for Sales, Marketing, and CS domains, with Salesforce as a core source system. Own data quality and documentation for your domain: clear definitions, source-of-truth tables, and QA that stakeholders can trust without double-checking. Lighthouse & Agentic Analytics Contribute to Lighthouse, our BI-as-code platform, as we build it out — help define how dashboards, metrics, and semantic models get written, versioned, and reviewed like software. Note: Lighthouse is an active build, not a finished platform — you'll be shaping it, not just using it. Push our analytics workflows toward agentic AI: using AI agents to accelerate analysis, automate recurring reporting, and cut down on manual, one-off dashboard requests. Bring a point of view on where AI can replace manual analyst work versus where it can't — you should be as comfortable prompting and evaluating an agent as writing the SQL yourself. How You'll Work Operate in two-week sprints, planning and prioritizing your own backlog against team OKRs alongside your manager. Give clear, proactive status updates to stakeholders rather than waiting to be asked. What We're Looking For Experience 5+ years in analytics/BI, with meaningful time supporting Sales, Marketing, or Customer Success functions at a fast-growing company. Staff-level candidates should bring deeper scope — larger or more ambiguous problems owned end-to-end, and a track record of setting technical direction, not just executing against it. Expert SQL and hands-on dbt experience modeling GTM data. Comfortable with Python for analysis and automation — this isn't a heavy ML/stats role, but you know how to script your way out of manual work. Experience with Salesforce as a data source — you understand CRM objects, fields, and the quirks of modeling data. Familiarity with a modern data stack: Fivetran or similar EL tooling, and a cloud warehouse (we run Snowflake; BigQuery experience also welcome). BI & AI Fluency Experience with at least one modern BI tool (Sigma, Hex, Tableau, Looker, or similar) is a strong plus, not a hard requirement — what matters more is that you understand how modern BI organizations operate: governed semantic layers, self-serve dashboards, and BI-as-code approaches. Genuine curiosity about agentic analytics — you've used AI agents or LLM tools to speed up analysis, and you want to help define what that looks like at scale. We build with Claude day-to-day, so hands-on experience with Claude Code (or a similar coding agent like Codex) is a big plus — you'll use it to move faster on dbt models, scripting, and analysis, not just as a novelty. Mindset Strong communicator who can frame a recommendation clearly for a non-technical stakeholder and defend it under questioning. Comfortable with the accountability of owning a deliverable through to closure, not just the analysis in the middle. Energized by ambiguity and fast iteration — two-week sprints mean you'll ship early and often. Compensation Additional Information Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future b

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. The Opportunity We don't just use AI. We build with it, ship with it, and think with it. With a generous budget for tokens, our engineers use AI agents to write, review, and ship production code every day. We are building toward a world where humans design systems and AI builds them, and we are already far along that path. We are looking for a hungry, highly autonomous Staff or Senior level Product Engineer to help and scale our internal tools. The Internal Tools team is the operational engine of Luxury Presence. Your customers are our own people: Customer Success, Sales, Onboarding, and fellow engineering teams. If an internal team needs a tool to move faster, automate a bottleneck, or serve our clients better, you will build it or support the architecture to make it happen. This role requires a true “10x engineer” who leverages AI development workflows (like Claude Code and Orca) to ship high-quality code at an unprecedented pace. You will be touching everything from complex UI dashboards in React to background job processing in NestJS, and deeply integrating it with our core data ecosystem. What You'll Do Lead internal product development. Partner with teams across Customer Success, Sales, Onboarding, and Engineering to uncover operational bottlenecks and design intuitive, high-leverage tools that multiply their effectiveness. Own the internal tool ecosystem. Architect and scale our internal platform (Scout) across the full stack. You'll weave together our React frontends, NestJS backends, and complex data integrations (spanning our CRM, data warehouse, and communication platforms) into a unified, reliable experience. Accelerate delivery through AI. Integrate AI natively into your daily workflow. You will use agents to write, review, and ship production code, turning complex requirements into working software at an elite pace. Turn ambiguity into impact. Take ownership of open-ended business challenges. You will act as both product manager and lead engineer for internal tools—scoping the true need, designing the solution, and shipping it end-to-end. What We're Looking For Attributes: You are an AI-native developer. You have deep experience with AI development workflows and tools (Claude Code, Cursor). You understand how to prompt, iterate, and use AI to output 10x the impact of a traditional engineer. You get joy from helping others. You are deeply empathetic to your internal users. You measure your success by the time you save others and the headaches you eliminate. You are highly product-oriented. You care deeply about the how and why of software. You view your internal coworkers as your highest-priority customers, always asking if a feature actually solves their core problem before writing a line of code. You are hungry and autonomous. You don't wait for a perfectly scoped Jira ticket. You are a problem solver who digs into the business need, proposes a technical solution, and ships it. You think in systems. You can reason about the whole request path from UI to data, understanding how internal tooling impacts the broader platform architecture. Skills and Experience: Extensive experience as a Senior or Staff-level full-stack engineer in a fast-paced, high-growth environment. Deep expertise in TypeScript, Node.js, and React. Experience building scalable backend services (NestJS preferred) and designing robust GraphQL APIs (code-first resolvers). Strong database fundamentals using ORMs (Sequelize) over PostgreSQL, and experience writing integration tests against real databases. Comfortable operating in a modern DevOps environment, relying on feature flags, rigorous testing, and solid observability. Tech Stack Frontend: React SPA (Vite), TypeScript, Tailwind, React Router, Apollo Client. Vitest + RTL for testing, Playwright for e2e. Backend: Node.js, NestJS, TypeScript, GraphQL (code-first resolvers). Data & Background: PostgreSQL (via Sequelize), Bull/Redis for background jobs. Deep integrations with Salesforce, Snowflake/Flurry, Dialpad, Zoom, Front, and Anthropic. Testing via Jest + Supertest. Infrastructure: Docker, Kubernetes via ArgoCD, Flyway for migrations, LaunchDarkly for flags, Datadog for logs/APM/RUM. Compensation Additional Information Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators wo

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. Why this role matters Every client relationship starts with a launch. The weeks after an agent signs with us set the tone for the entire relationship, and getting them to value quickly is one of the highest-leverage things we do. That experience used to mean getting a website live. Today it spans a growing set of products, and the definition of a successful activation keeps expanding with it. We're looking for a Director of Launch Operations to own how that entire experience runs. Getting from $100M to $300M means activating far more clients, across more products, without adding proportional cost or giving up the quality that earns renewals. The path there is not a better version of what exists today. It is a fundamentally different operating model, and this role owns designing it. What makes this role unique is that it sits at the intersection of operations and product. You won't just define how the work should happen and hand requirements to someone else. You'll own Launchpad, our purpose-built platform for managing onboarding, launch, and activation. You'll set the vision for what that platform becomes, decide what gets built, and ship it. AI is central to how we do this, and not as an aspiration. We are actively building AI into the systems our teams use every day. If you get energy from looking at how work gets done and deciding which parts software and agents should handle instead of people, and you want to build that yourself rather than wait for a roadmap to deliver it, this is a rare place to do it at scale. What you'll own The client activation experience Own the operating model behind onboarding, launch, and activation across our full product set Set a materially higher bar for speed, consistency, and quality of client activation, and drive the organization to hit it Design how the work should run at 3x the current volume, then get there Launchpad Own Launchpad as a product: vision, roadmap, prioritization, and what ships Direct dedicated engineering and Salesforce development resources against that roadmap Make Launchpad the system of record for activation, with clean data flowing through to Salesforce Own the broader tooling the Onboarding and PFT teams rely on, in concert with other GTM Ops squads AI-native operations Identify the work in the activation process that should not require a human, and replace it Build AI capabilities directly into Launchpad and the surrounding workflows Hold a high bar for what good looks like when the alternative is an agent doing it instead Performance and decision-making Own how activation performance is measured, defined, and understood across the business Establish what the right metrics are as the product set expands and old definitions stop fitting Bring leadership a clear, reconciled view of where the operation stands and what to do about it Team and execution Lead a small team of senior operators and get real leverage from them Run a fast operating cadence with a visible, prioritized backlog Design processes that hold up as volume grows and staff turns over How you'll work You'll report to the VP of GTM Strategy and Operations and work in close alignment with the Head of Onboarding and PFT, whose teams your work directly serves. You'll sit alongside the leaders running CS Operations, Sales and Marketing Operations, RevTech, Analytics, and Enablement. This is a highly visible role. You'll shape the roadmap with engineers one day and make the case for it to the executive team the next, and you'll be the person who translates between those two conversations. Success depends on setting a bar across partner teams and building enough credibility that people move at the pace you set. What we're looking for Experience 5+ years in operations roles at a SaaS or technology company, including experience leading a team Direct experience running the operational layer behind an implementation, onboarding, professional services, or delivery organization Demonstrable results consistently raising the bar on performance through operational improvement, not incremental tuning A track record of building support for change across senior stakeholders who see the problem differently Experience at high-growth companies, ideally between $100M and $500M in ARR Leadership and communication You think like a product manager about your own operations. You have a vision for where the function should be in two years, you prioritize ruthlessly against it, and you ship You communicate with unusual clarity. You can take a complex operational or technical problem and make it obvious to an executive audience, in writing and in the room