
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
Artificial Intelligence • Sales • Enterprise
Outreach is a company that provides an AI-powered sales execution platform designed to streamline workflows and enhance the effectiveness of sales representatives. The platform utilizes artificial intelligence to forecast revenue accurately, manage deals, and optimize the entire sales process. Outreach helps sales teams prioritize tasks, identify prospects, and maintain engagement throughout the customer lifecycle, ultimately aiming to boost win rates and reduce churn. With over 6,000 global customers, Outreach focuses on transforming seller workflows to consistently exceed revenue targets.
🔥 20 hours ago
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1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
Artificial Intelligence • Sales • Enterprise
Outreach is a company that provides an AI-powered sales execution platform designed to streamline workflows and enhance the effectiveness of sales representatives. The platform utilizes artificial intelligence to forecast revenue accurately, manage deals, and optimize the entire sales process. Outreach helps sales teams prioritize tasks, identify prospects, and maintain engagement throughout the customer lifecycle, ultimately aiming to boost win rates and reduce churn. With over 6,000 global customers, Outreach focuses on transforming seller workflows to consistently exceed revenue targets.
• Own the vision, strategy, roadmap, and outcomes for a product area within Forecasting, Deal Management & Analytics • Own AI application decisions, including identifying and prioritizing use cases and determining when problems are better solved without AI • Define evaluation criteria, quality bars, and offline and online measurements for AI-powered capabilities • Partner with data science and ML engineering to move capabilities from experimentation into production • Establish guardrails, human-in-the-loop designs, and plans for customer-facing failure modes • Define and prioritize work, making trade-offs on scope, sequencing, and timelines • Lead discovery sessions and research to capture the voice of the customer • Establish and use adoption, quality, and business-impact metrics to steer the roadmap • Track the market, competitive landscape, and customer feedback and translate findings into positioning and roadmap priorities • Work with product marketing, enablement, and finance on launch, positioning, pricing, and packaging • Drive cross-organizational initiatives involving other product teams
• 7+ years of product management experience building enterprise or B2B SaaS products • Experience launching AI or data products with LLM-powered capabilities, copilots, or agentic workflows, including ownership of their quality after launch • Fluency in modern AI stacks: model integration, context orchestration, prompt design, guardrails, and evaluation frameworks • Demonstrated ability to translate complex AI capabilities into simple product experiences and measurable customer value • Proven ability to work closely with engineering and data scientists to take models from experimentation to production • Comfortable building a business case, working directly with data to test a hypothesis, and making decisions under uncertainty • Customer empathy and discipline to keep talking to users rather than reasoning from assumptions • Ability to set a longer-term strategy while driving meaningful short-term impact and bringing senior leadership and cross-functional partners along • Preferred: Experience with analytics, reporting, or performance-measurement products, or products that turn behavioural data into recommendations and guidance • Preferred: Experience building products for go-to-market teams including sales, marketing, revenue operations, or customer success • Preferred: Experience with conversation intelligence or products built on unstructured interaction data • Preferred: Understanding of AI governance, privacy, compliance, and responsible AI principles for enterprise readiness • Preferred: Experience working in a distributed product organization across multiple regions
• Remote work arrangement • Opportunity to work with engineering, design, and data science partners across India, Czechia, and the US • Latitude to decide what gets built and why • Work in an organization with more resources than a small startup and less process than a mature organization
Apply Now🔥 21 hours ago
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