Your Role
As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Dialpad. You’ll work closely with the Head of AI Transformation and functional leads from Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks and identify AI solutions. You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our internal AI transformation.

This position reports to our Head of AI Transformation and has the opportunity to be based in our San Ramon, CA, office.

What You’ll Do 

• Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks.
• Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows.
• Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption.
• Develop and present ROI models, providing actionable recommendations to senior leadership.
• Support implementation (including light configuration, prompt engineering, and user training) of selected solutions.
• Track business unit KPIs and OKRs post-deployment; iterate with partners and vendors to hit or exceed the 20% productivity target.

Skills You’ll Bring 

• Bachelor’s degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields.
• 1-2 years of relevant experience. 
• Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects.
• Solid understanding of AI technologies, machine learning concepts, and their applications in business settings.
• Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise.
• Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders.
• Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment.
• Nice-to-have: experience with SaaS integrations (Zapier, APIs) or low-code automation platforms.
• Solid foundation in Python or SQL; familiarity with data-viz dashboards (Tableau, etc.).

Your role
As a Product, Privacy, and Regulatory Counsel, you'll own the legal strategy where product innovation, data privacy, and regulatory compliance intersect. You'll work closely with Product, Engineering, Security, Telephony, Marketing, Sales, and Customer Success to embed legal judgment directly into how Dialpad's AI-powered products are designed, launched, and scaled globally. You'll also help build the frameworks, playbooks, and guardrails that position Dialpad as a trustworthy, enterprise-ready AI platform. You are not a compliance gatekeeper - you are a builder.

This position reports to our Assistant General Counsel and has the opportunity to be based in our San Ramon, CA office. You will join a collaborative legal team alongside dedicated product and privacy legal resources, supported by a strong network of outside counsel and cross-functional partners. This is a high-visibility role with direct exposure to Dialpad's executive team and enterprise customer base.

What you’ll do

• AI governance & product counseling - Advise Product and Engineering on privacy-by-design, AI governance, and regulatory risk across the full product lifecycle. Support the development of legal frameworks covering AI training data, LLM data use, model governance, and compliance with the EU AI Act, US state AI laws, and FTC guidance.
• Global privacy & data protection - Support Dialpad’s global privacy compliance program (GDPR/UK GDPR, CCPA/CPRA, HIPAA, and beyond) in partnership with dedicated legal team members. Help manage the data subject access request program, maintain DPIAs and RoPAs, and serve as on-call counsel for data incidents, including breach response and required notifications.
• Telecom & regulatory compliance - Advise on federal and state telecom regulations (FCC, TCPA, 911, USF), track international developments, and handle CALEA readiness, law enforcement requests, and sectoral compliance across regulated verticals.
• Security partnerships & certifications - Partner with Security and GRC teams on certifications (ISO 27001, SOC 2, PCI, HIPAA) and help design privacy-enhancing controls including automated redaction, anonymization, and access governance.
• Commercial & marketing enablement - Handle DPA and BAA negotiations, support complex enterprise transactions, and advise on marketing compliance including TCPA, CIPA, web tracking, consent signals, and digital advertising practices.
• IP & legal operations  - Participate in the Patent Review Board, coordinate patent prosecution with outside counsel, contribute to key internal policies, and drive legal ops scalability through automation and AI tools.

Skills you’ll bring

• J.D. from an ABA-accredited law school; active bar membership in 1+ U.S. states.
• 6+ years of relevant legal experience, preferably including meaningful time at a recognized law firm with a technology or privacy practice, combined with in-house experience at a SaaS or technology company.
• Deep expertise in GDPR, CCPA/CPRA, and HIPAA, including privacy-by-design and cross-border data transfers.
• Familiarity with AI legal frameworks (EU AI Act, US state AI legislation, FTC priorities).
• Experience communicating complex legal concepts to non-legal audiences.
• Experience advising Product and Engineering teams on product, privacy, and regulatory matters.
• Experience with FCC/TCPA/VoIP regulation or communications products such as call recording, telecom, or voice/AI-enabled workflows.
• Experience with incident response and breach notification under US state laws and GDPR.
• CIPP/US, CIPP/E, or equivalent privacy certification is a plus.

Your role
The Vice President, Program Management Office, is the enterprise owner of how we choose, fund, and execute our most important work. This leader builds the connective tissue between strategy, investment, and execution, ensuring every major initiative is aligned to our OKRs, resourced appropriately, and delivered with enterprise-grade rigor.

You will report to the Chief Operating Officer and partner closely with C-level and functional leaders across Product, Engineering, Revenue, Customer, Finance, and People.

What you’ll do

• Lead the Strategic PMO team (program managers, portfolio analysts) and attract, develop, and retain top-tier talent.
• Partner with the CEO, COO, CFO, and executive team to translate strategy into a sequenced, resourced portfolio of initiatives.
• Build and maintain executive-ready reporting on portfolio health, risks, dependencies, and realized/expected outcomes.
• Design and run governance forums (e.g., portfolio councils, steering committees, quarterly business reviews) that drive decisions, not just updates.
• Ensure change management, communications, and adoption plans are embedded in every major program.
• Champion a culture of focus, trade-offs, and follow-through—fewer, bigger, better bets rather than scattered activity.

Skills you’ll bring

• 15+ years of experience in Program/Portfolio Management, Strategy, or Operations, with at least 7+ years leading enterprise-level PMO / SPMO or equivalent.
• Deep experience operating in a high-growth, multi-stakeholder environment (e.g., SaaS, technology, or similarly complex business).
• Proven track record of standing up or scaling an enterprise PMO, including portfolio governance, funding models, and standard methodologies.
• Demonstrated ability to partner credibly with C-level leaders, influence without authority, and drive alignment across functions.
• Strong financial acumen; comfortable building and challenging business cases, investment plans, and ROI models.
• Expertise in organizational change management and driving adoption of new operating models, tools, and behaviors.
• Exceptional communication skills—able to zoom out for board-level narratives and zoom in on execution details when needed.

Your role
As a Sr. Sales Engineer, you’ll own running demos and proof of concepts, including the gathering of success criteria, system configuration, admin training, user training, and troubleshooting. You’ll work closely with Account Executives to identify key customer requirements and present Dialpad solutions that meet those requirements. You’ll possess an in-depth knowledge of Dialpad’s products and services, relating this knowledge in a way that is understandable to non-technical customers.

This position reports to our Sr. Manager of Sales Engineering, with preferred working hours dependent on the location of the Enterprise Sales team that will be supported.

Dialpad’s Sales Engineers will contribute to our Enterprise Sales team by building technical relationships with prospects, delivering compelling product demonstrations, and running high-touch proof of concepts. In this role, our Sales Engineer will help businesses solve complex communications problems felt by everyone around the world.

Dialpad’s Sales Engineering team plays an essential role in providing pre-sales technical support for all Dialpad products and services. This team aligns closely with Sales, Product, Engineering, Customer Success, and Support, as well as all levels of management on customer accounts.

What you’ll do

• Own product demonstrations and deliver high-touch proof of concepts.
• Learn the many technical tools the Sales Engineering team uses to test network environments.
• Complete a Sales Engineering Demo Certification.
• Partner with the Enterprise Sales team throughout the entire sales process.
• Provide technical closure in sales opportunities.

Skills you’ll bring 

• A technical curiosity and an excitement about delivering a technology solution that delights our customers and solves real business problems.
• Demonstrated experience and expertise in UCaaS, CCaaS, and AI technologies (5-8 years preferred).
• Enterprise-level Sales Engineering experience with a SaaS, UCaaS, or CCaaS company.
• In-person demo experience and comfort with public speaking engagements.
• Experience working with C-level and Executive-level prospects and customers.
• Dabbles in scripting languages such as JavaScript and Python.