Head of Experimentation

Developer Engagement Lead Reports to: Head of Developer Growth · New York, NY NOTE: This is not a traditional social media or community management role. It’s a developer growth role that sits within the Product org. Developers are already talking about Datadog - on Reddit, Discord, Hacker News, GitHub, X, LinkedIn, YouTube, forums, and places we probably haven’t found yet. We’re hiring a Developer Engagement Lead to make sure we’re part of those conversations. You’ll own how Datadog listens, responds, and participates across developer channels. That means running our existing developer social accounts, building our presence in new communities, creating the monitoring and response systems that help us find relevant conversations quickly, and connecting developers with the right people inside Datadog. This is a builder role. We’re not looking for someone to manage a content calendar or simply moderate a community. We want someone who can build the operating model for developer engagement at scale. What you'll own Build our developer listening and engagement system. Create the tooling and workflows to monitor conversations about Datadog, our products, our competitors, and the problems developers are trying to solve across Reddit, Hacker News, Discord, GitHub, X, LinkedIn, Stack Overflow, YouTube, and other relevant platforms. Turn monitoring into action. Build a process for identifying conversations worth joining, determining when Datadog should respond, and routing questions or feedback to the right engineer, PM, DevRel, support, or product expert. Own our developer channels. Run @datadogdevs on X and Datadog Developers on LinkedIn, including publishing, engagement, replies, and experimentation. Expand where Datadog participates. Establish and grow our presence in places where developers already spend time. That may include launching Discord, creating a stronger Reddit strategy, building participation models for Hacker News or GitHub, or identifying entirely new chann

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord exists to give people the power to create space to find belonging — to talk regularly with the people they care about and build genuine relationships with friends and communities close to home or around the world. We're looking for an Analytics Manager to lead our Scaled Abuse Countermeasures and Research (SCAR) team — the team that safeguards Discord’s platform integrity. SCAR detects, analyzes, and disrupts high-volume threats through a combination of automated systems, deep research, and active incident response. This role reports to the Head of Safety Intelligence and Automation. What You'll Be Doing Lead and mentor a team of data analysts, scientists, and researchers who investigate active threats, identify platform abuse vectors, and uncover adversarial patterns. Define a strategic roadmap that prioritizes and disrupts the highest impact abuse operations through structured research, rigorous analyses, and live experimentation. Collaborate closely with the safety machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures. Partner cross-functionally with Product, Engineering, Data Science, Policy, Legal, and Revenue, influencing safety-by-design decisions upstream of abuse. Influence capacity toward high-impact infrastructure, such as automated rule engines, ML models, or agent moderation tools. What you should have 2+ years of people management experience leading technical teams, including engineers, data scientists, analysts, applied researchers, or equivalent. 4+ years of experience working in a Trust & Safety dom

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. What You'll Own As our Social Media & Founder Brand Manager, you'll sit at the intersection of content, brand, and experimentation. You'll shape how the world sees Ema and its founders — building a distinctive, high-reach presence across LinkedIn, X, YouTube, and beyond, in the fastest-moving category in tech: agentic AI. Social Media & Content Creation Scale Ema's LinkedIn from 130K → 200K+ with bold, creative storytelling and a strong lens on ICP Maintain a consistent 4-week rolling calendar across social media, blogs, and newsletter channels — while staying nimble enough for moment marketing: hopping on relevant tech trends and conversations in real time, especially for the founders Create compelling video content for both Ema and the founders — from short-form clips and talking-head videos to event and product moments — built natively for each platform Work with design to repurpose existing content — whitepapers, blogs, interviews, videos — into carousels, short videos, threads, and newsletters to achieve consistency + repetition as a brand Continuously experiment with and improve existing channels, and identify the right new distribution channels and formats to scale E

About the Role We're looking for a Head of RevOps (Director/Sr. Director level) who sits at the intersection of go-to-market strategy, outbound channels and data/tools. This is not a traditional sales ops or marketing ops role — you'll be the strategic backbone supporting our GTM engine, collaboratively building the processes, systems, signals, and segmentation that help us find the right customers faster and convert them more efficiently. What You'll Do ICP Data and Win/Loss Lead the definition and updating our Ideal Customer Profile (ICP) end-to-end — collaborate and bring leadership to the table as well as Sales, Marketing, and Account Management to constantly refine and look for new buying signals and focus our outbound Build the initial ICP framework using firmographic, technographic, behavioral, and intent data, synthesized with insights from Sales, Professional Services, and Product Create win/loss framework and reporting to feed into sales and GTM strategy Run a recurring ICP review cadence (quarterly at minimum) to incorporate win/loss patterns, market shifts, and product evolution Translate the ICP into actionable criteria that can be operationalized across the CRM, outbound sequences, paid campaigns, and content strategy Create tiered ICP scoring models that allow teams to prioritize accounts and contacts dynamically Maintain ICP documentation and communicate updates clearly across GTM teams so everyone is aligned and working from the same playbook GTM Strategy & RevOps Support a growing GTM org and own a stack that includes Salesforce and Hubspot. Design and build end-to-end GTM workflows that reduce friction across the funnel — from first touch to closed-won Automate outbound sequences, lead routing, enrichment pipelines, and handoff processes using tools like Clay, Apollo, HubSpot, Salesforce, Zapier, and n8n Instrument and optimize the revenue tech stack to ensure clean data flow and maximum signal capture Design internal tooling and

OVERVIEW: The Insights product is an offering for Guidepoint's institutional investment and corporate clients, now in its 9 th year, that offers teleconferences, surveys, in-person events, and AI-facilitated data and content. The teleconferences live in an online library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. hedge fund analysts), sell-side equity research analysts, and industry professionals. This is a hybrid position based in our New York City office. What you'll do: Build and lead a high-caliber research team: Recruit, develop, and manage a group of analysts producing differentiated, investor-grade insights across the technology, media and telecom (TMT) space, with full ownership over research quality, agenda-setting, and output. Own the research strategy and content roadmap: Define what gets covered and why—shaping expert calls, thematic work, and proprietary content aligned with real-time public equity investor demand Drive business growth and AI-enabled innovation: Partner with commercial and product teams to launch new research offerings, leveraging AI to scale insight generation, enhance workflows, and create differentiated products for institutional investor clients. What you have: Bachelor’s degree or Master’s degree Minimum 10 years of sell-side or buy-side analyst experience Must follow bottoms-up, fundamental approach to investment research focusing on individual companies Has covered all parts of the global TMT sector (Enterprise Software, Hardware & Semis and Consumer Internet); candidates must be current on company/industry knowledge Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with