Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build and scale Serval’s sales enablement engine by translating complex AI capabilities into messaging, training, demos, discovery guides, and reusable assets. Partner with Engineering and Sales to support product launches, reduce sales ramp time, analyze Gong calls, identify objections, and develop AI-powered workflows that automate enablement content creation and updates.

Leads strategy and operations for the Solutions Engineering organization, improving technical sales productivity, forecasting, workflows, operating cadence, analytics, and pilot conversion. Partners with SE, Sales, Product, Engineering, Finance, and RevOps leadership on coverage models, capacity planning, technical qualification, GTM systems, and strategic initiatives. Builds scalable processes, content, reporting, and AI-enabled tools while identifying and resolving technical selling friction.

Lead technical pre-sales for an AI automation platform, partnering with account executives on discovery, architecture, demos, technical evaluations, security reviews, and executive briefings. Design integrations, scope pilot use cases, prove customer value, and hand off deployments. Build the foundational solutions architecture toolkit, including demos, reference architectures, evaluation frameworks, FAQs, and competitive positioning, while relaying customer requirements and product gaps to engineering.

Build an AE productivity center of excellence by studying top-performer workflows, eliminating low-value work, and developing AI-powered automations, internal tools, sequences, and prompts. Partner with Sales, Marketing, Enablement, Business Systems, and RevOps to define workflow requirements, improve technology adoption, and measure impact on revenue productivity. The role combines product management, GTM engineering, automation development, analytical measurement, and cross-functional execution.

Own the strategy, operations, forecasting, pricing, unit economics, and P&L for a new AI software business line. Partner with executives, Sales, Deployment, Engineering, and Operations to build scalable playbooks, optimize customer value and margins, structure deals, establish operating cadences, and drive the business toward 8-figure first-year revenue.

Build and maintain internal automations and AI agents to resolve high-volume IT/service requests. Automate onboarding/offboarding, access provisioning, ticket triage, and knowledge bases; measure impact. Lead identity and access infrastructure (SSO, RBAC, SAML/SCIM), govern SaaS and devices, support security/compliance, and continuously improve workflows across teams.

Own and scale Serval’s revenue technology architecture, including Salesforce, CPQ, sales engagement, data enrichment, marketing automation, and BI systems. Build integrations, Salesforce functionality, workflow automations, and AI-enabled operational processes. Establish data governance, security, and reliability standards while evaluating build-versus-buy decisions and setting the technology roadmap. Partner with sales, marketing, deployment, operations, and finance leaders to translate business requirements into scalable systems and automations.

Own Serval’s complete data function as its first dedicated data hire. Build a unified warehouse, ETL/ELT pipelines, data models, quality and governance systems, documentation, and self-serve analytics. Partner with technical and business teams to define trusted metrics, consolidate product and SaaS data, and create AI-powered internal data tools. Select the data stack, establish engineering standards, and support scalable, cost-conscious infrastructure.

Own post-deployment customer outcomes by troubleshooting production issues, driving adoption, renewals, and expansion. Build scalable support tooling, automation, and playbooks; ship production code fixes and customer-specific features; and improve customer self-sufficiency through training and documentation. Serve as the primary technical partner, translating complex concepts for stakeholders and advocating for customer needs internally.

Lead revenue strategy and operations for Sales leadership at a high-growth AI software company. Responsibilities include identifying growth levers, improving forecasting, establishing operating cadences, managing strategic initiatives, optimizing sales processes and GTM systems, building performance analytics, supporting capacity and quota planning, and driving AI adoption. The role partners closely with Sales, Finance, and RevOps to improve productivity and business outcomes.