Outreach

Product Manager

• Drive the agentic AI area for Outreach Engage, defining the vision, strategy, and roadmap for how AI agents augment and automate the selling workflows at the heart of the platform, in support of the Amplify offering.
• Work closely with the Sales Engagement Product team across time zones, translating market reality into actionable product context and accelerating the evolution into an end-to-end agentic revenue platform.
• Track the market, competitive landscape, and customer feedback, translating them into Outreach positioning and roadmap priorities.
• Guide pricing and packaging decisions, including evolving pricing models for AI-native products.
• Define and own the core metrics for adoption, engagement, quality, and business impact of AI and agentic experiences, and use them to drive prioritization and trade-off decisions.
• Partner with a cross-functional team of engineers, data scientists, and designers to build agentic workflows grounded in Outreach's engagement data and knowledge, balancing automation with seller control, trust, and enterprise-grade governance.
• Partner with Sales Enablement and Product Marketing to ensure every launch lands accurately and compellingly across the field.
• Handle customer escalations as the product voice: triaging issues, aligning with the Product team, and closing the loop with customers and CS.
• Lead pilots with high-value customers: structuring the engagement, setting success criteria, and ensuring outcomes feed back into the product roadmap.
• Drive adoption and consumption of AI capabilities, partnering with CS and Sales.

Senior Product Manager

Product Marketing

• Lead competitive intelligence and market research, translating customer, competitor, and industry insights into differentiated positioning and strategic recommendations.
• Serve as the subject matter expert on competitive dynamics, buyer priorities, market trends, and AI innovations, translating insights into battlecards, executive briefs, and enablement programs that improve seller confidence and win rates.
• Develop portfolio-level competitive narratives and messaging that clearly articulate Outreach's differentiation.
• Lead cross-functional initiatives that strengthen Outreach's competitive position and improve GTM effectiveness.
• Influence Product, Marketing, Sales, Customer Success, and executive leaders on competitive priorities and market opportunities.
• Act as a trusted advisor to GTM leaders, using data-driven insights to shape go-to-market strategy, content investments, and positioning.
• Monitor market shifts, competitive moves, and AI trends to identify opportunities and risks that inform strategy.
• Represent Outreach with customers, analysts, and industry audiences as a leader in competitive strategy and market intelligence.

Principal Product Marketing Manager, Competitive

• Define and own the product strategy for conversation intelligence, voice, and dialing
• Deliver AI-native experiences and workflows, building on the latest model and technology advancements
• Ship AI and ML features with world-class engineering, data science, and design teams that turn conversations into agentic actions
• Lead discovery and roadmap sessions with key prospects and customers
• Lead and develop a team of accomplished product managers, driving strategy across multiple scrum teams, enabling high performance, and championing strong processes and best practices
• Partner with product marketing to build enablement and positioning, thought leadership on agentic execution for go-to-market teams
• Build deep understanding of customer feedback and product stickiness to inform prioritization and long-term bets

Director, Product Management – Conversational Intelligence, Voice

Support Engineer

• Working both independently and as a team, in a fast paced environment, directly with our customers
• Managing inbound support emails, chats, and phone calls, as well as outgoing customer calls
• Providing articulate, high quality support to customers by helping resolve support questions, identifying and reporting on trends and educating on best practices
• Collaborating with teams across different departments
• Software tools and systems you’ll use daily: Outreach, MS 365, FreshDesk, Slack, Salesforce, Twilio, Datadog, Sendgrid, G-suite

Technical Support Engineer

Solutions Engineer

• Becoming and acting as a subject matter expert on the Outreach platform and acting as a trusted advisor to both customers and internal teams
• Partner and collaborate with Sales to identify customer and prospect selling tools, business processes, opportunities and risks through in-depth discovery
• Helping qualify opportunities through in-depth discovery of customer and prospect business processes in order identify opportunities and risks that need to be addressed during the sales process
• Participate in product demonstrations highlighting Outreach's business value
• Understanding goals and value propositions for various stakeholders within customer organizations
• Ensuring effective communication of customer and prospect pains and requirements to Outreach’s onboarding and implementation teams
• Building industry credibility through continuous learning of new sales trends & technology from blogs, podcasts, and other industry publications
• Collaborating with Product, Customer Success, and other Outreach teams to build a better company and platform for our customers
• Sharing your product and selling knowledge with other Outreach teams, helping them strengthen their own skills, and better support our customers and prospects

Senior Solutions Consultant

• Acting as a strategic advisor to executive stakeholders (CROs, COOs, CTOs, VPs of RevOps, etc.), influencing vision and technical direction for enterprise customers.
• Owning the technical strategy for high-value, multi-threaded deals, driving discovery, solution design, and value articulation aligned to customer initiatives.
• Leading engaging, outcome-based demonstrations and Proof of Value (POV) engagements that connect Outreach’s capabilities to business outcomes.
• Partnering with AEs to craft win strategies using MEDDPICC, Demo2Win, and value-selling frameworks.
• Translating complex business processes into scalable, ROI-driven solutions and clearly articulating “the art of the possible” through Outreach’s platform and AI agents (Amplify, Kaia, Research Agent).
• Building credibility as a subject matter expert in revenue execution, pipeline management, and AI innovation.
• Acting as a mentor and deal coach to Solutions Consultants, providing feedback and guidance on demo execution, discovery, and strategic selling.
• Collaborating with Product, Engineering, and Enablement to influence roadmap priorities and build differentiated enterprise narratives.
• Creating and maintaining scalable demo and POV assets, vertical playbooks, and industry-specific solution stories.
• Representing Outreach as a thought leader through webinars, customer roundtables, and industry events.

Lead Solutions Consultant

AI Engineer

• Leading the architecture, design, and delivery of distributed cloud-native applications capable of high concurrency and demanding real-time data needs.
• Designing and building production-grade data pipelines and ETL/ELT workflows — modeling data for both transactional (OLTP) and analytical (OLAP) use, and orchestrating them with modern workflow tooling.
• Integrating ML and GenAI capabilities into product features — from model serving and evaluation to LLM-powered enrichment, retrieval (RAG), and intelligent automation within our services.
• Championing data quality and correctness — building validation, observability, and testing into every step of the pipeline so downstream analytics and AI features can be trusted.
• Collaborating with data science, product, and engineering partners to ship intelligent, complex product features.
• Setting and promoting engineering standards for code quality, security, and operational excellence; nurturing automation and continuous improvement.
• Diagnosing and eliminating performance bottlenecks and proactively addressing reliability risks.
• Mentoring, reviewing code/architectures, and fostering a culture of rapid learning.
• Decomposing legacy systems into SOA/microservices, resolving tech debt, and evolving the architecture for scale.
• Taking end-to-end ownership of major initiatives from planning through impact.

Staff Software Engineer – AI

AI Research Scientist

• Knowledge Graph Design & Construction: Architect and evolve per-tenant knowledge graph schemas, including entity resolution, temporal modeling, and ontology design tailored to sales execution domains.
• Information Extraction: Architect NLP pipelines that extract structured knowledge from unstructured conversational and document data (sales calls, emails, CRM notes), including coreference resolution, relation extraction, and event detection.
• Contextual Reasoning & Recommendation: Design reasoning and inference layers over the knowledge graph to power next-best-action suggestions, deal risk scoring, coaching recommendations, and competitive intelligence surfaces.
• Representation Learning: Design and train graph-based models (GNNs, relational embeddings, link prediction) over heterogeneous, multi-relational graph structures to support downstream reasoning and retrieval tasks. Diagnose and address embedding quality issues including cold-start entities, and temporal drift.
• Domain Modeling: Formalize sales execution concepts such as deal stages, buyer engagement patterns, rep behaviors, and account health, into structured representations that ground the platform's AI capabilities. Extract ontology structure. Lead ontology versioning and migration.
• Cross-functional Collaboration: Partner with engineering, product, and data teams to bring models from prototype to production, ensuring reliability and measurable impact at scale.

Staff Applied Scientist – Knowledge Graphs, AI

• Knowledge Graph Design & Construction: Design and implement entity resolution and ontology population within established graph schemas. Write and optimize queries for graph traversal and feature extraction. Own data quality for assigned domains.
• Information Extraction: Build pipelines that extract structured knowledge from unstructured conversational and document data (sales calls, emails, CRM notes), including coreference resolution, relation extraction, and event detection. Run experiments to compare approaches and improve accuracy metrics.
• Contextual Reasoning & Recommendation: Implement graph traversal logic and feature queries that feed downstream scoring signals. Build and maintain features for deal risk, next-best-action, or coaching recommendation surfaces.
• Representation Learning: Train and evaluate link prediction and node classification models using established graph embedding methods. Implement evaluation pipelines and track model performance over time.
• Domain Modeling: Translate sales concepts, such as deal stages, buyer engagement patterns, rep behaviors, and account health, into graph nodes and relationships under the guidance of senior scientists. Contribute to ontology design and documentation.
• Cross-functional Collaboration: Work with software engineers to deploy models and pipelines into production. Write clean, tested code. Monitor system health and respond to incidents. Participate in code review and design discussions.

Senior Applied Scientist – Knowledge Graphs, AI

Research Scientist

• Engineering high-availability AI pipelines across distributed, cross-team components to ensure reliable, low-latency agentic workflows.
• Collaborating with stakeholders to ensure customers have the AI-driven capabilities and tools they need to succeed on the Outreach platform.
• Rapidly prototyping ML and LLM solutions to validate approaches and accelerate iteration on complex, ambiguous problems.
• Optimizing across the stack to maximize ROI for key pain points, from model architecture to service orchestration.
• Contributing to Outreach's most visible AI surfaces, shaping how customers experience our next-generation agentic AI capabilities.

Applied Scientist, Sync

Customer Specialist

• Develop and manage a robust library of customer content, including case studies, video testimonials, blogs, podcasts, webinars, speaking engagements, and sales enablement assets
• Support incentivized customer advocacy programs that drive participation through gifting, recognition, and catered experiences
• Repurpose core content across formats and channels to extend the reach and impact of customer stories
• Prepare copy for customer newsletters and partner with social media on ongoing posting and content support
• Support and maintain a centralized, searchable content repository for Sales, Marketing, and Customer Success
• Manage workflows in Asana to keep advocacy projects, requests, and deliverables on track
• Upload, publish, and track advocacy content in a sales enablement platform to support enablement and content adoption
• Respond to customer reviews across key platforms and analyze trends to share actionable insights with Product and other internal teams
• Conduct regular check-ins with cross-functional stakeholders to identify potential advocates and uncover advocacy opportunities
• Match Sales and Customer Success teams with the right advocates for customer reference requests
• Ability to use AI to scale processes, content, and
• Increase efficiency
• Track and report on program performance, including advocate engagement, gifting ROI, content utilization, and impact on pipeline and sales velocity

Customer Advocacy Specialist

Account Manager

• Contribute to our winning environment by facilitating a culture of self-development and accountability. We protect the number at Outreach, and leaders do everything they can to achieve it.
• Teach AMs to build and manage a territory plan that creates a clear path to quota achievement.
• Drive prospect accountability. Our AMs generate their own pipeline using the Outreach platform; you’ll teach them to prioritize their time across daily research, cold calling, and email campaigns, leveraging tools such as 6sense, ZoomInfo, and LinkedIn.
• Train AMs to lead strong discovery calls that surface the pains and needs of senior executives (CEO, CRO, CFO, CMO, VP of Sales Operations).
• Enable AMs to articulate how the Outreach platform solves customer pains through demos and a clear value proposition.
• Coach AMs to maintain deal momentum across a typical 30–60 day sales cycle.
• Identify deal risk using the MEDDPICC methodology, partnering with your team, internal partners, and executives to mitigate it.
• Forecast deals and team attainment using Outreach’s forecast methodology.

Manager, Account Managers

Consultant

• Manage and execute on implementations & projects for customers
• Perform detailed discovery with customers around their CRM usage and translate that to Outreach integration functionality
• Be a subject matter expert on a multitude of Outreach technologies, acting as a trusted advisor to internal and external stakeholders
• Partner with Program & Project Managers, Professional Services Consultants, Trainers, and customer stakeholders to successfully drive projects to completion
• Distill information from a variety of sources to inform complex configuration setup
• Explore all relevant client processes to build successful integrations
• Support the adoption of AI-enabled workflows
• Collaborate with client technical experts to establish a thorough configuration testing plan

Senior Technical Consultant

Artificial Intelligence

• Lead AI Agent Pilots & Implementations Deploy and configure Outreach’s AI Revenue Agents in real customer environments, driving fast, measurable outcomes.
• Understand & Map GTM Workflows Partner with Sales, Marketing, and RevOps stakeholders to deeply understand business processes and identify where AI agents can be embedded to drive impact.
• Customize & Tune AI Behavior Adapt agent capabilities to customer-specific use cases using prompts, data integrations, routing logic, and system configurations.
• Develop Reusable Solutions Build and document repeatable implementation patterns, success criteria, and collateral to scale deployments across the customer base.
• Act as a Product & Field Liaison Provide structured feedback to Product and Engineering based on customer insights, and help communicate roadmap priorities to customers.
• Train & Enable Customer Teams Support customer readiness and change management with training, documentation, and functional support.

Forward Deployed Engineer – AI Revenue Agents

Growth Marketing

• Own the Growth Marketing Strategy
• Develop and execute the global growth marketing strategy aligned to company growth objectives.
• Build annual and quarterly plans that drive pipeline, bookings, and revenue.
• Establish scalable demand generation programs across enterprise, commercial, and strategic account segments.
• Create a balanced investment strategy across demand, ABM, partner, field, web, and digital channels.
• Own marketing-sourced and marketing influenced pipeline goals.
• Forecast pipeline performance and communicate results to executive leadership.
• Continuously improve efficiency metrics including CAC, pipeline velocity, opportunity creation, and ROI.
• Partner with RevOps/Marketing Ops to ensure data quality, lead management, scoring, routing, and lifecycle processes support efficient growth.
• Drive a culture of experimentation, testing, and continuous optimization.
• Build and scale a sophisticated ABM program focused on large and global enterprises.
• Partner with Sales leadership on account selection, engagement strategies, and pipeline acceleration.
• Design personalized buying experiences for key accounts and buying committees.
• Align marketing investments to account-level revenue opportunities.
• Oversee integrated campaigns across paid media, content syndication, events, webinars, search, social, email, partnerships, and emerging channels.
• Develop full-funnel programs that support awareness, demand capture, pipeline creation, and deal acceleration.
• Leverage AI technologies to improve targeting, personalization, campaign performance, and productivity.
• Recruit, develop, lead, and retain exceptional marketing talent across growth marketing functions.
• Establish clear goals, accountability, and performance expectations.
• Foster a culture of collaboration, innovation, customer focus, and operational excellence.
• Be a strategic partner aligning with sales, RevOps/Marketing Ops, customer success, finance, and marketing.
• Partner to define and establish best-in-class measurement and attribution frameworks.
• Align pipeline generation efforts with go-to-market priorities and revenue targets.
• Help shape market expansion, segmentation, and go-to-market strategy.