Senior Agent Product Manager - Spanish Speaking

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 C-suite brings in Decagon, they are not buying a support tool. They are buying a transformation of how their customers experience their brand, end to end. Agent Product Managers are the people they trust to make that transformation real. Your counterpart is the C-suite, and what they are asking you to transform is their entire customer experience. You define the roadmap, the frameworks, and the decision-making models that make a top-down transformation feel safe to bet on. You hold that relationship from the first pre-sales conversation through the life of the account. The work compounds in a way most roles don't. Every flagship deployment you lead feeds directly into our playbooks and raises the quality of every build that follows. Hard-won lessons on your accounts become leverage across the whole company, and the IP you create outlives any single agent. These are the largest, most complex enterprises in the market. The ones that require deep customization, real j

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 C-suite brings in Decagon, they are not buying a support tool. They are buying a transformation of how their customers experience their brand, end to end. Agent Product Managers are the people they trust to make that transformation real. Your counterpart is the C-suite, and what they are asking you to transform is their entire customer experience. You define the roadmap, the frameworks, and the decision-making models that make a top-down transformation feel safe to bet on. You hold that relationship from the first pre-sales conversation through the life of the account. The work compounds in a way most roles don't. Every flagship deployment you lead feeds directly into our playbooks and raises the quality of every build that follows. Hard-won lessons on your accounts become leverage across the whole company, and the IP you create outlives any single agent. These are the largest, most complex enterprises in the market. The ones that require deep customization, real j

Today, everyone from PMs to Sales to SREs uses AI to query their business data - but every answer is a one-off with no governance, no consistency, and no visibility for data teams. We're building the system that fixes this: a context layer that learns from existing data tools driving high quality and consistent answers, an AI-powered query experience, full governance for data teams, and rich analysis surfaces to present and share the results. You'd be building a zero to one product of what we believe will become a major new product line for Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you'll do Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat experience and analysis surfaces (dashboards, notebooks, sheets) Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions) Design the context and governance layer that makes AI-powered analytics trustworthy - including auto-generation from existing BI tools, eval frameworks, confidence scoring, and self-improvement loops Define how observability data and business data come together to serve unique use cases Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs Work on the product pricing Work with GTM teams to define positioning, packaging, and the path to displacing entrenched tools Who you are 5+ years of experience

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions We're looking for a Senior AI Product Manager to build and own Scale's Cybersecurity portfolio — the data, environments, and evaluations frontier labs use to train and measure security capability in their models. This is a build role: you will define the strategy and standards for a product line that does not exist yet. Security is where the hardest problems in agentic AI now sit. An agent that can find a vulnerability, prove it reproduces, and patch it without breaking the system is doing work that takes a skilled human days. Measuring that honestly requires reproducible execution environments at scale and practitioners who have actually done the work. Scale has the first, proven across SWE-Bench Pro, SWE Atlas, and our contributions to the Terminal-Bench lineage. You will build the second. You Will Own the roadmap and strategy for Scale's Cybersecurity portfolio across training data, RL environments, agentic task suites, and evaluation products — and stand the product line up end to end, from task taxonomy and sourcing through pricing and first external release. Define the capability map we train and measure against: vulnerability discovery, proof-of-concept reproduction, patch generation and regression safety, secure code review, supply-chain analysis, malware and binary analysis, detection engineering, and incident triage. Make the strategic call on where Scale competes across the offense–defense spectrum — which capabilities we build training data for, which we only measure, and which we decline. Partner with ML researchers and security practitioners on task specifications, grader design, and verifiable rewards, holding to execution-grounded verification wherever possible: a task c

Datadog helps technical teams understand their systems. More and more, those teams want to know what a problem costs the business. Today the business context for that answer typically sits in a data warehouse. We want to equip customers to answer this question directly in Datadog. We're bringing business data into Datadog. You'll start with owning the Datadog SQL (DDSQL) and Sheets products. DDSQL lets people query across their Datadog data in SQL, and Sheets gives them a spreadsheet to pivot, look up, and calculate on that data without writing a query. Once you have a handle, you will grow into building out a strategy and execution plan for bringing business data into Datadog. This encompasses data warehouse connections, schema discovery, semantic encoding, and new visualization. As this initiative grows, you will explore new capabilities that can be built using both warehouse and telemetry data in one platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you'll do: Lead SQL and Sheets end to end, growing them into the main way customers query Datadog and warehouse data Define how customers connect their warehouses and join that data to Datadog telemetry, with the access controls and performance that make it usable at scale Build reusable metrics and joins so teams can build on each other's work instead of starting over Bring business data into our AI agent Bits so operational investigations can draw on customer and revenue context Make analysis easy to organize and distribute, from folders and tags to scheduled reports Partner with design to set a high bar for information architecture and visual polish in complex analytical workflows Use customer research and product analytics to find what keeps teams from doing this work in Datadog today, then improve disco

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we're moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality. This team works cross-functionally to design, deploy, and scale AI agents that handle real customer conversations and empower our human agents with more information to solve issues. They work alongside our support ops and insights teams to create exceptional experiences when our customers need help most. Responsibilities: Build and optimize AI agents that handle customer support interactions across chat and voice channels Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors Write, test, and refine prompt logic and conversation flows for specific customer use cases Partner with support operations teams to understand workflows, pain points, and opportunities Run rapid feedback loops between customer interactions and product development to continuously improve agent performance Serve as the in-house expert on AI agent development,