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Own the end-to-end product direction for an AI-driven digital investigations platform. Translate ambiguous and conflicting user, stakeholder, and product inputs into priorities, align mission and engineering teams, partner on technically sound solutions, work directly with operational users, and drive adoption, quality, and mission impact at scale.

Own the digital forensics product end to end, translating ambiguous user and stakeholder needs into prioritized, technically sound capabilities. Guide rapid growth in users and usage, partner closely with engineering and mission teams, work directly with operators and investigators, drive adoption, and maintain reliability and quality at scale. The role requires strong product judgment, technical fluency, decisive prioritization, clear communication, and the ability to operate under security and deployment constraints.

Leads Motive’s commercial legal function supporting revenue, partnerships, procurement, and global expansion. Negotiates complex enterprise, SaaS, hardware, reseller, OEM, and strategic partnership agreements; advises senior executives; manages attorneys and contract managers; mentors junior lawyers; and builds scalable playbooks, approval matrices, deal desk processes, and AI-enabled legal workflows. Oversees procurement and supply chain legal matters, international contracting, outside counsel, and operational metrics.

Build and manage AI-powered workflows, agents, automations, and internal applications for Deal Desk and GTM teams. Identify automation opportunities, develop prototypes, scale solutions to production, integrate enterprise data and APIs, implement human validation and audit controls, optimize LLM costs, document tools, measure adoption, and train users. The role requires Deal Desk or RevOps experience plus practical knowledge of AI models, APIs, scripting, SQL/SOQL, Python, CPQ, CLM, Salesforce, and agentic platforms.

Manage and grow consumer client accounts as the primary liaison, strengthening relationships, retention, satisfaction, and revenue. Develop strategic account plans, identify opportunities, lead statements of work and onboarding, coordinate contracts and collections, and guide digital initiatives from planning through delivery. Provide client reporting, analytics, scorecards, and consultation while partnering with internal teams on solutions, pitches, negotiations, and business expansion. Promote information security, privacy, and data protection practices.

Leads strategic healthcare client accounts and drives revenue growth, executive relationships, delivery success, and client satisfaction. Develops multi-year account strategies spanning digital transformation, marketing technology, AI, and enterprise modernization. Oversees commercial performance, forecasting, margins, contracts, and risk. Partners with business development, consulting, engineering, delivery, and technology teams to shape solutions and pursue opportunities. Advises C-suite stakeholders, manages technology alliances, leads executive reviews, and mentors cross-functional teams.

Drive expansion revenue within existing customers through high‑velocity outbound and inbound outreach. Make ~60 dials daily, hold consultative calls to uncover upsell/cross-sell opportunities, update Salesforce, hit monthly ARR quota, and use AI-powered workflows to optimize selling and feedback to product teams.

Own a book of existing Gusto customers and drive expansion revenue through multi-product, consultative selling. Responsibilities include building pipeline, using customer signals and AI-assisted prospecting, managing account relationships, prospecting, pitching, negotiating, closing, maintaining CRM data, prioritizing outreach, and forecasting expansion revenue against an ARR quota.

Manage inbound homeowner leads through the full home equity investment sales cycle, from initial education and application support through contract execution. Maintain a high-volume pipeline, coordinate with processors and underwriters, provide compliant guidance, answer questions, request documentation, and meet sales goals. Use Salesforce and internal tools to track applications and communicate next steps while maintaining strong ethics, attention to detail, and customer empathy.

Manage inbound homeowner leads from initial contact through closing for Hometap’s home equity investment product. Educate prospects, answer questions, request documentation, coordinate with processors and underwriters, maintain applications in Salesforce and Hometap Hub, manage a full pipeline, and meet sales targets while ensuring regulatory compliance and empathetic customer service.

Build and scale mission-critical tips, earnings, and payroll platforms for restaurant employees. Own systems end to end, lead complex projects from design through deployment, improve reliability and correctness, collaborate with product and design, review code, mentor engineers, and deliver scalable backend services that affect employee pay and product revenue.

Manage high-volume inbound and outbound customer engagements for SMB accounts, focusing on retention, value realization, contract and pricing discussions, objection handling, and customer outcomes. Use account data and internal tools to inform decisions, document interactions, maintain service levels, surface customer insights, and collaborate with Sales, Support, Product, and Finance to resolve issues and improve the Toast experience.

Design, build, and operate highly available, secure, large-scale cloud services and infrastructure. The role focuses on performance optimization across infrastructure, databases, and APIs; establishing engineering standards; shaping technical direction with Product; and mentoring engineers. The team uses Kotlin, Go, AWS, PostgreSQL, DynamoDB, Terraform, and Apache Pulsar to support distributed, event-driven systems processing billions of requests daily.

Designs and launches repeatable managed service offerings for MSPs, MSSPs, and cloud providers using Rubrik’s cyber resilience portfolio. Owns service blueprints, partner workshops, presales architecture, enablement content, adoption analytics, roadmap readiness, and AI-powered tools. Collaborates with Sales, Product, Engineering, Marketing, and strategic partners to turn concepts into scalable, priced, launched, and adopted services. Requires deep expertise in backup, recovery, cloud infrastructure, virtualization, compliance, and significant partner travel.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Own and deliver goals for ML training and serving infrastructure. Lead engineers through ambiguous, distributed-systems challenges; design, develop, and operate highly available backend platforms; monitor reliability and support on-call operations. Collaborate with product and engineering stakeholders, improve code and design standards, identify and resolve technical issues, and mentor team members. The role focuses on scalable systems that enable production model training and serving.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Leads the data platform engineering team, owning architecture, roadmap, ingestion, orchestration, warehouse, BI, streaming, AI-agent capabilities, data quality, governance, and self-service infrastructure. Manages and develops senior engineers, drives technical standards, reviews designs and code, supports incident response, and partners across engineering, analytics, finance, security, compliance, and risk. Requires hands-on data platform, AI, and technical leadership experience.

Drive revenue growth for Zscaler’s security operations product portfolio within a designated region. Own territory quota, develop account-based strategies, sell to C-suite and technical stakeholders, and partner with solution engineers and sales teams to close complex deals. The role focuses on cloud security, vulnerability management, deception, threat hunting, and AI-driven security solutions while building customer relationships and securing new enterprise logos.

Enterprise Account Executive responsible for building executive-level customer relationships, developing strategic account plans, aligning cloud security solutions with business goals, collaborating with internal teams, and driving new-logo sales. The role requires full-cycle software or security sales experience, enterprise and C-level selling expertise, strategic planning, channel partnership experience, and effective use of AI tools to improve sales productivity.

Leads end-to-end delivery of AI security solutions for enterprise public-sector customers. Deploys and optimizes Zscaler AI Guard, AI Protect, and SPLX across cloud and Kubernetes environments; designs networking and firewall connectivity; performs automated AI red-teaming, vulnerability probing, and lab replication. Acts as a trusted technical advisor, produces documentation and demos, advocates customer needs, and supports product development. Requires expertise in LLMs, cloud networking, APIs, containers, and security, plus U.S. citizenship, clearance eligibility, and travel up to 40%.