Jobs at Outreach

Lead architecture, development, and operation of scalable backend systems and distributed cloud-native applications. Build data pipelines, streaming analytics, APIs, and production AI/ML workflows while improving performance, reliability, security, and operational excellence. Decompose legacy systems into microservices, own major initiatives end to end, establish engineering standards, mentor engineers, and collaborate with product, data science, and engineering teams.

Manage the full sales lifecycle for new commercial accounts, from prospecting and discovery through negotiation, contract closure, and implementation handoff. Build territory pipelines, maintain forecast accuracy, develop MEDDPICC-based account plans, demonstrate AI-powered solutions, and engage executive, finance, procurement, and technical stakeholders. The role requires selling complex SaaS solutions, articulating ROI, achieving quota, and cultivating relationships with customers and internal teams.

Design, develop, test, and maintain scalable backend software for Outreach’s CRM Sync integration platform. Provide technical leadership, contribute to system architecture, solve complex technical challenges, participate in code reviews, and maintain technical documentation. Collaborate with cross-functional teams to deliver reliable, high-performance, bi-directional integrations with applications such as Salesforce and Microsoft Dynamics.

Own Sales Operations for assigned sales teams and lead cross-functional revenue programs. Responsibilities include territory design, forecasting, pipeline and funnel operations, sales process optimization, reporting, dashboard development, business analysis, ABM coordination, and data-driven advisory to sales leadership. The role partners across Sales, Customer Experience, and Marketing to improve conversion, productivity, predictability, and scalable growth.

Leads product strategy for an agentic AI revenue platform, connecting Product, GTM, customers, and partners. Responsibilities include market and competitive analysis, roadmap and pricing input, partner strategy, product evangelism, executive presentations, customer advisory engagement, product collateral, sales enablement, and AI adoption. Requires strong B2B SaaS strategy, product management, market research, executive communication, and familiarity with AI tools for sales or GTM.

Owns complex customer accounts and expands AI Agent adoption through configuration, prompt design, troubleshooting, training, and consulting. The role drives product consumption, renewals, and customer outcomes while partnering with account teams. Responsibilities include establishing agent configuration standards, resolving escalations, mentoring consultants, monitoring KPIs, and staying current on generative AI and LLM developments. This remote Hyderabad role requires working US-based hours.

Own enterprise customer relationships and drive measurable outcomes through platform adoption, AI enablement, change management, renewals, and expansion. The role guides customers in applying AI agents to GTM workflows, leads executive business reviews, monitors health and usage data, mitigates churn risk, identifies growth opportunities, and collaborates with Sales, Product, Marketing, RevOps, and Professional Services.

As a Lead Solutions Consultant, you'll provide strategic advice, lead technical strategy for enterprise customers, and mentor team members while driving measurable business impact.

Owns scalable GTM enablement programs, change management, onboarding, coaching, competitive resources, sales content, and continuous improvement. The role partners with GTM, sales, customer success, product, and marketing leaders to drive adoption and measurable improvements in ramp time, quota attainment, pipeline generation, win rate, and other KPIs. It also uses AI, LMS/CMS platforms, and data insights to improve coaching, content delivery, and program effectiveness.

Lead product strategy and execution for conversation intelligence, voice, and dialing. Deliver AI-native experiences, ship AI/ML features, run discovery with customers, and manage a team of product managers to drive real-time coaching, deal acceleration, and leader-facing analytics across a B2B SaaS revenue platform.

Own corporate FP&A forecasting, consolidations, cash flow planning, reporting, and financial modeling. Partner with Accounting and cross-functional leaders to analyze variances, improve forecast accuracy, support executive and Board reporting, and guide resource allocation. The role also enhances planning processes, automation, and models covering stock-based compensation, capital expenditures, collections, share count, and long-range planning.

Own the full sales lifecycle for net-new enterprise accounts, from prospecting and discovery through solution demonstrations, negotiation, closing, scoping, and handoff. Build territory and account plans, generate pipeline, forecast accurately, apply MEDDPICC, and sell complex AI-powered SaaS solutions to executive stakeholders. Manage nine- to twelve-month sales cycles and $200,000–$500,000 contracts while partnering with solutions consultants, finance, professional services, and account management.

Design and build per-tenant knowledge graphs and extraction pipelines from conversational and CRM data. Implement entity resolution, ontology population, graph queries, feature extraction, representation learning, and reasoning for recommendations and risk signals. Train/evaluate graph models, collaborate with engineers to productionize models, monitor system health, and maintain data quality.

Design and build per-tenant knowledge graphs and extraction pipelines from sales conversations and CRM data; develop representation learning (GNNs, embeddings), reasoning and inference layers for recommendations, risk scoring, and coaching; partner with engineering and product to move models to production and maintain reliability at scale.

Manage a portfolio of enterprise customers to drive adoption of Outreach’s AI-powered features, ensure measurable business outcomes (retention, expansion), lead executive reviews, enable AI adoption and change management, surface data-driven insights and risks, own renewal/expansion strategy, and collaborate cross-functionally with Sales, Product, RevOps, and Professional Services.

Build and operate core Identity and Access Management services powering authentication, authorization, token management, SCIM provisioning, and account security. Own end-to-end architecture, implementation, observability, and reliability. Partner with Product and Security, improve scalability and performance, and mentor teammates to raise engineering standards.

Serve as primary People partner for Product, Design, Engineering, Security, and Support leaders. Advise on org design, workforce planning, talent strategy, and employee relations. Lead and develop two distributed Senior People Business Partners. Drive HR programs (performance, promotions, engagement), provide manager coaching, run investigations, deliver data-driven org insights, and enable change during scale across international teams.

The role involves developing AI systems for processing voice data, optimizing ML workflows, and collaborating on ML and LLM solutions.