Sierra

Product Manager

• Build enterprise-grade AI agents: partner directly with engineers and customers to build and ship AI agents that handle thousands of customer conversations a day
• Engage with customers at all levels: discover and assess requirements; prepare and present demonstrations; address and overcome technical challenges with technical counterparts; develop and improve Sierra virtual agents to fit and anticipate customers’ needs and business processes; become trusted advisors and drive strategic technical strategies
• Shape the product roadmap: work with engineering and product development teams to scope and implement new features essential to the success of customers
• Collaborate cross-functionally to prioritize features, resolve technical challenges, and deliver production-ready agent solutions

Product Manager, Agent Development

• Bring Enterprise-grade AI Agents to the World: empower every business to build a world-class AI agent that represents its identity and brand
• Solve for the Customer: serve multiple stakeholders (end users, CX managers, and developers) and address their unique needs
• Innovate: discover new tools and processes for building AI Agents and lead 0–1 product work
• Collaborate: partner closely with engineering, design, leadership, and the entire company to define and build cohesive experiences
• Advise: become a trusted and strategic advisor to customers alongside sales, go-to-market, and forward-deployed teams
• End-to-End Ownership: lead the product through all stages from concept to execution in close collaboration with cross-functional partners

Product Manager, Core

Full-stack Engineer

• Design and deliver production-grade AI agents: build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue
• Drive the Agent Development Life Cycle (ADLC): ownership from initial pilot through deployment and continuous iteration; build, tune, and evolve AI agents in production
• Partner with large enterprises and cutting-edge startups: work directly with leaders to understand business challenges and embed AI agents across customer stacks
• Build the future of the platform: surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform teams
• Example projects: design agents to manage subscription churn for telecom/media; develop agents for complex customer interactions and personalized recommendations; create generalizable AI agent frameworks; facilitate design partnerships for new product initiatives; experiment with and integrate voice models at enterprise scale

Software Engineer, Agent – New Grad

Account Executive

• Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling; build new relationships with our commercial customers and prospects to drive revenue, pipeline, and deployment capacity
• Manage relationships: Build and maintain strong relationships with customers' key decision-makers and stakeholders; serve as their primary point of contact and exceed their expectations
• Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, address objections and close deals; navigate contracts and agreements quickly and effectively, working closely with legal and finance
• Sales strategy & planning: Develop and execute sales strategies to exceed sales targets; craft tailored sales presentations and proposals; collaborate with marketing to implement effective sales campaigns
• Help define our sales motion: Contribute to shaping GTM function and how it operates and succeeds
• Collaborate cross-functionally: Work closely with GTM, product, technical and operations orgs to deliver the product

Commercial Account Executive

Sales

• Help define the sales motion as a founding member of the team
• Prospecting and lead generation: identify and target potential customers through research, networking, and cold calling
• Lead qualification via discovery calls to ensure alignment and increase engagement
• Craft and deliver tailored sales presentations to enterprise customers
• Manage relationships and serve as primary point of contact until hand-off to Enterprise AEs
• Collaborate closely with Sales team and Account Executives to align strategies, campaigns, and ensure seamless transitions of qualified leads

Enterprise Sales Associate

Data Scientist

• Play a foundational role in driving data strategy and shaping Sierra’s data future
• Conduct deep-dive analyses of customer data to identify trends, patterns, and actionable insights
• Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage
• Build experimentation capabilities and evaluate models for experimentation and causal inference (A/B testing)
• Partner with product, engineering, and research teams to inform product strategy and execution and experiment rapidly
• Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for advanced analytics

Data Engineer

• Design and operate scalable batch and real-time data systems
• Create and maintain trusted data models to power analytics, experimentation, and AI agent development
• Build and operate pipelines that deliver high-quality, reliable data to all areas of the business
• Ensure business teams have access to reliable data to drive insight and innovation
• Influence how data is captured, governed, and leveraged across Sierra to enable decision-making at scale
• Partner with engineering, product, ML, analytics, and GTM teams to shape data strategy and infrastructure
• Establish foundations of Sierra’s data ecosystem and drive standards for reliability and trust
• Directly power next-generation AI-driven customer experiences through data engineering work

Revenue Operations

• Support the execution of revenue forecasting by leveraging data insights to drive strategic planning and financial projections
• Design and refine compensation structures to incentivize performance, align with company goals, and maintain competitiveness
• Develop models to assess staffing needs, optimize team structures, and support efficient resource allocation as the organization scales; optimize sales territory planning
• Build and refine data-driven models to analyze customer behavior, predict demand, and identify revenue opportunities
• Own and evolve business reporting frameworks; develop and manage dashboards and KPIs to track performance and ensure data integrity
• Establish and enforce standardized processes across GTM functions to ensure clarity, efficiency, and scalability
• Partner with customer-facing teams to drive alignment between Sales and Agent Development and maintain operational cadence

Revenue Operations Lead

Administrative Assistant

• Greet visitors and oversee the day-to-day functioning of the office
• Ensure the office environment is welcoming, clean, and organized by managing office supplies, equipment, and kitchen inventory
• Coordinate with building management for office maintenance and repairs
• Help the admin team organize company happy hours, in-office trainings, team lunches and celebratory events
• Hand out and track company merch for new hires and send merch packages/gifts when necessary; execute new inventory orders
• Address any office-related issues promptly and effectively to foster a positive work environment
• Partner with facilities and real estate team on office improvements
• Maintain a high level of confidentiality and discretion with all materials and information
• Note: This is a 6-month contract position and is ineligible for full-time benefits

Office Manager

Engineering Manager

• Lead the design and delivery of production-grade AI agents, managing and growing a team of engineers building highly performant, reliable, and intuitive AI agents
• Ensure technical excellence, operational reliability, and high customer impact for production systems across industries like finance, healthcare, and commerce
• Own the Agent Development Life Cycle (ADLC): guide team from initial pilot through deployment and continuous iteration, coaching engineers on ADLC best practices
• Ensure projects are delivered on time, meet customer needs, and scale effectively in production environments
• Partner with large enterprises and startups to understand business challenges and guide the team in building AI agents that transform operations at scale
• Shape the future of Sierra’s platform by surfacing unmet needs, prioritizing initiatives, and collaborating with research, product, and platform teams