Вакансии

Location: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our marketing programs bring in thousands more leads. To turn that demand into pipeline, every lead has to be enriched, scored, and routed to the right next step within minutes. We're hiring a Growth GTM Engineer on the Revenue Operations team to own the lead-to-engagement engine. You'll orchestrate enrichment across marketing and product leads. You'll build the scoring models that combine firmographic and technographic fit with demonstrated intent and product behavior. You'll own the routing that sends each lead back to Marketing for nurture or to BDRs and Sales for engagement. And you'll help build the custom internal apps our reps use to research, prioritize and engage prospects. You'll report to the Head of Marketing Operations, who sets the priorities for this work and owns our marketing automation platform, campaigns and attribution. You'll write production code, own the data and logic between our warehouse and Salesforce, and measure everything you build against meetings, pipeline and revenue. Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own enrichment orchestration. Design and run waterfall enrichment across third-party data providers, AI research agents and first-party data for every marketing and product lead. Handle lead-to-account matching, deduplication, field governance, data freshness and provider cost, so every record is complete, accurate and ready to act on. - Own and iterate on lead and account scoring. Build fit models from firmographic and technographic attributes such as industry, size, region, tech stack, AI maturity and buying-committee coverage. Combine them with intent and behavior signals: web and content engagement, email and campaign engagement from Marketing Operations, third-party intent, event activity, and product usage signals from the Growth team. Calibrate the models against closed-won and closed-lost data, version them, and explain to Sales why a lead scored the way it did. - Own lead routing. Design the decision logic that sends each lead to Marketing for nurture or to a BDR, AE or Account Manager for engagement, based on score, segment, territory, account ownership, capacity and existing opportunities. Co-define lifecycle stages, handoff SLAs, recycle rules and speed-to-lead triggers with the Head of Marketing Operations, and enforce them in Salesforce and our routing tools. - Close the feedback loop. Instrument the funnel from lead creation to MQL, meeting, opportunity and closed-won. Find where leads stall, which sources and signals predict pipeline, and whether our qualification criteria still hold, then send those insights back into scoring, routing and Marketing programs. Supply the data behind attribution, which the Head of Marketing Operations owns. - Help build custom internal apps for prospect engagement. Ship the tools reps use every day, such as account and prospect research briefs, signal-triggered alerts in Slack and Salesforce, prioritized call and outreach queues, and LLM-powered agents that draft personalized outreach and prepare reps before first touch. Run them like products: talk to users, track adoption and retire what doesn't get used. These apps are part of our BDR prospecting toolset, a combination of internal builds and vendor solutions that the Head of Marketing Operations owns or co-owns. Deliver against that roadmap, including integrating vendor tools with Salesforce and our data layer. - Be the technical owner of the lead data layer. Build and maintain the dbt models, reverse ETL syncs, APIs and webhooks that connect Snowflake, Salesforce, marketing automation, enrichment providers and engagement tools. Make sure data flows are observable, tested and trusted. Support the rollout of our first marketing automation platform by building the Salesforce and warehouse side of its sync. - Partner across the business. Work with Marketing, Growth, BDR and Sales leadership, Data Science and Sales Systems to turn messy processes into durable systems. Work with the Growth team, using the PLG signals they publish to drive scoring and routing. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit the current enrichment coverage, scoring logic, routing rules and lead SLAs, and document the gaps that cost us pipeline. In your first 90 days: - Ship an enrichment waterfall with measurable gains in fill rate and accuracy. - Ship an evolution of our unified scoring model that combines fit, intent and product signals, with a published rubric Sales trusts. - Ship routing that sends every lead to nurture or sales within an agreed SLA, with dashboards that show speed to lead and conversion by route. In your first 6 months: - Ship at least one rep-facing engagement app or agent with sustained weekly use by BDRs and AEs. - Show a measurable lift in MQL-to-meeting and meeting-to-opportunity conversion. QUALIFICATIONS - 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment, including at least 2 years building enrichment, scoring or routing systems. - Commercial instinct. You start from a revenue problem, like "inbound enterprise leads wait too long for a first touch," and work back to the data, logic or tool that fixes it. - Strong SQL and experience building data models in a warehouse (Snowflake, dbt or similar). You pull your own data. - Production code in Python or TypeScript. You've shipped internal tools, integrations or agents that real users depend on. - Deep working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns, ownership), and experience automating within it and integrating with it. - Hands-on experience with enrichment and intent providers and orchestration tools, such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase or Common Room. - Fluency with funnel mechanics: lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data and conversion metrics. - Comfort with REST APIs, webhooks, OAuth, rate limits and error handling across third-party GTM tools. - Operator and business partner mindset. You work directly with reps and marketers, ship fixes quickly, and don't need a PM to translate requests. NICE TO HAVE - Experience in a hybrid PLG and sales-led motion: product-qualified leads, mapping users to accounts, and sales-assist routing. - Experience with routing and scheduling tools (Default, Chili Piper, LeanData) and reverse ETL (Hightouch, Census, Polytomic). - Experience building LLM-powered research, personalization or qualification agents, including evaluation and monitoring. - Experience with statistical or ML-based scoring (logistic regression, gradient boosting) and model calibration. - Entity resolution and domain-matching experience at scale. - Prior GTM Engineer experience at a GTM-tooling or AI-native company.

Perplexity18 ч назад

Location: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our marketing programs bring in thousands more leads. To turn that demand into pipeline, every lead has to be enriched, scored, and routed to the right next step within minutes. We're hiring a Growth GTM Engineer on the Revenue Operations team to own the lead-to-engagement engine. You'll orchestrate enrichment across marketing and product leads. You'll build the scoring models that combine firmographic and technographic fit with demonstrated intent and product behavior. You'll own the routing that sends each lead back to Marketing for nurture or to BDRs and Sales for engagement. And you'll help build the custom internal apps our reps use to research, prioritize and engage prospects. You'll report to the Head of Marketing Operations, who sets the priorities for this work and owns our marketing automation platform, campaigns and attribution. You'll write production code, own the data and logic between our warehouse and Salesforce, and measure everything you build against meetings, pipeline and revenue. Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own enrichment orchestration. Design and run waterfall enrichment across third-party data providers, AI research agents and first-party data for every marketing and product lead. Handle lead-to-account matching, deduplication, field governance, data freshness and provider cost, so every record is complete, accurate and ready to act on. - Own and iterate on lead and account scoring. Build fit models from firmographic and technographic attributes such as industry, size, region, tech stack, AI maturity and buying-committee coverage. Combine them with intent and behavior signals: web and content engagement, email and campaign engagement from Marketing Operations, third-party intent, event activity, and product usage signals from the Growth team. Calibrate the models against closed-won and closed-lost data, version them, and explain to Sales why a lead scored the way it did. - Own lead routing. Design the decision logic that sends each lead to Marketing for nurture or to a BDR, AE or Account Manager for engagement, based on score, segment, territory, account ownership, capacity and existing opportunities. Co-define lifecycle stages, handoff SLAs, recycle rules and speed-to-lead triggers with the Head of Marketing Operations, and enforce them in Salesforce and our routing tools. - Close the feedback loop. Instrument the funnel from lead creation to MQL, meeting, opportunity and closed-won. Find where leads stall, which sources and signals predict pipeline, and whether our qualification criteria still hold, then send those insights back into scoring, routing and Marketing programs. Supply the data behind attribution, which the Head of Marketing Operations owns. - Help build custom internal apps for prospect engagement. Ship the tools reps use every day, such as account and prospect research briefs, signal-triggered alerts in Slack and Salesforce, prioritized call and outreach queues, and LLM-powered agents that draft personalized outreach and prepare reps before first touch. Run them like products: talk to users, track adoption and retire what doesn't get used. These apps are part of our BDR prospecting toolset, a combination of internal builds and vendor solutions that the Head of Marketing Operations owns or co-owns. Deliver against that roadmap, including integrating vendor tools with Salesforce and our data layer. - Be the technical owner of the lead data layer. Build and maintain the dbt models, reverse ETL syncs, APIs and webhooks that connect Snowflake, Salesforce, marketing automation, enrichment providers and engagement tools. Make sure data flows are observable, tested and trusted. Support the rollout of our first marketing automation platform by building the Salesforce and warehouse side of its sync. - Partner across the business. Work with Marketing, Growth, BDR and Sales leadership, Data Science and Sales Systems to turn messy processes into durable systems. Work with the Growth team, using the PLG signals they publish to drive scoring and routing. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit the current enrichment coverage, scoring logic, routing rules and lead SLAs, and document the gaps that cost us pipeline. In your first 90 days: - Ship an enrichment waterfall with measurable gains in fill rate and accuracy. - Ship an evolution of our unified scoring model that combines fit, intent and product signals, with a published rubric Sales trusts. - Ship routing that sends every lead to nurture or sales within an agreed SLA, with dashboards that show speed to lead and conversion by route. In your first 6 months: - Ship at least one rep-facing engagement app or agent with sustained weekly use by BDRs and AEs. - Show a measurable lift in MQL-to-meeting and meeting-to-opportunity conversion. QUALIFICATIONS - 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment, including at least 2 years building enrichment, scoring or routing systems. - Commercial instinct. You start from a revenue problem, like "inbound enterprise leads wait too long for a first touch," and work back to the data, logic or tool that fixes it. - Strong SQL and experience building data models in a warehouse (Snowflake, dbt or similar). You pull your own data. - Production code in Python or TypeScript. You've shipped internal tools, integrations or agents that real users depend on. - Deep working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns, ownership), and experience automating within it and integrating with it. - Hands-on experience with enrichment and intent providers and orchestration tools, such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase or Common Room. - Fluency with funnel mechanics: lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data and conversion metrics. - Comfort with REST APIs, webhooks, OAuth, rate limits and error handling across third-party GTM tools. - Operator and business partner mindset. You work directly with reps and marketers, ship fixes quickly, and don't need a PM to translate requests. NICE TO HAVE - Experience in a hybrid PLG and sales-led motion: product-qualified leads, mapping users to accounts, and sales-assist routing. - Experience with routing and scheduling tools (Default, Chili Piper, LeanData) and reverse ETL (Hightouch, Census, Polytomic). - Experience building LLM-powered research, personalization or qualification agents, including evaluation and monitoring. - Experience with statistical or ML-based scoring (logistic regression, gradient boosting) and model calibration. - Entity resolution and domain-matching experience at scale. - Prior GTM Engineer experience at a GTM-tooling or AI-native company.

Perplexity19 ч назад

Location: San Francisco; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. ABOUT THE ROLE Perplexity is looking for an experienced Lead Product Designer to own mobile design for Growth. You'll shape the experiences that bring Perplexity to as many people as possible on the device they reach for first, making software that feels like the future but can be understood and used by anyone in the world today. Growth design has its own craft and nuance, and so does mobile. You'll own the highest-leverage moments in the mobile user journey: first-run onboarding and activation, consumer acquisition surfaces, conversion flows, paywalls and pricing, the nudges and upsells that drive adoption of new products and features, and the retention loops that turn first-time users into daily ones. This is design where a few pixels, a single step, or the timing of a transition can move real numbers, so you'll pair a high craft bar with rigorous experimentation, letting real data guide the work. You'll do that in the real material: prototyping on device, writing SwiftUI in Xcode, and putting up your own PRs. You care about clarity, craft, details, and delight as much as you care about growth and impact. This role is deeply cross-functional: you'll partner closely with our Growth, Product Marketing, mobile engineering, and brand design teams, and you care about everything it takes to make a product great: product, interaction, growth, copywriting, engineering, and marketing. WHAT YOU'LL DO - Lead mobile product design for Growth across the full lifecycle: acquisition, activation, retention, monetization, and enterprise expansion - Design first-run and onboarding experiences that feel native to the platform and get users to value as fast as possible - Craft conversion and upsell flows for mobile, including paywalls, pricing, and plan comparison - Design growth experiences for an AI-native product, getting people to their first great answer fast and helping them discover new capabilities like Computer - Bring the Perplexity brand to life in our growth surfaces through cinematic motion, visual design, and interaction detail - Prototype on device early and often, using real code to answer questions static mocks can't - Write SwiftUI and put up your own PRs, working alongside mobile engineers to close the gap between the design and what ships - Partner closely with Growth and Product Marketing on positioning, messaging, and funnel strategy - Design and run experiments, using data and real usage to drive decisions and measure impact - Explore what new platform capabilities and form factors make possible for growth - Think about how to go from 0→1 but also how to make your decisions scale well - Contribute to process so we're always shipping changes you're proud of, as often as possible WHAT WE'RE LOOKING FOR - Experience designing consumer or prosumer products, with a strong track record of shipping native mobile apps - Deep fluency in iOS: platform conventions, navigation patterns, gestures, system components, and what's new each year - A solid understanding of growth nuances: onboarding, activation, acquisition, conversion, upsells, paywalls, pricing, and retention - A data-informed approach, fluent in experimentation, funnels, and metrics, and comfortable learning from usage - Excellent visual, UI, interaction, and motion skills, with a knack for bringing a brand to life in product without getting in the way of use - Comfort prototyping on device, working in Xcode with SwiftUI, and putting up your own PRs in a production codebase - An excellent communicator who can tell a clear story from data and design rationale to team members and leadership - You care about shipping great software more than anything else - Comfort with a high level of autonomy and ambiguity, and the craft to be seen as a peer lead by the rest of the design team - 5+ years of industry experience NICE TO HAVE - Experience designing for Android or working in Jetpack Compose (we design iOS-first, but Android is in scope) - Fluency with motion tools such as Rive, Lottie, or After Effects - You've already been exploring or prototyping interactions for foldables like iPhone Duo NOTES FOR CANDIDATES - Please submit your portfolio with your application.

Perplexity19 ч назад

Perplexity19 ч назад

Location: San Francisco; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. ABOUT THE ROLE Perplexity is looking for an experienced Lead Product Designer to own iPhone and Android design on our Native & Mobile team. You'll design how Perplexity lives on the device people carry everywhere, and how that device works with everything else they use: their Mac, their Windows PC, their Linux machine, and the agents doing work on their behalf. Native & Mobile is one team covering every platform we build for. Our agents increasingly run for minutes or hours, on your computer or in the cloud, and the phone becomes the place you start that work, follow its progress, step in when it needs you, and pick up the result. You'll design that relationship between devices so it feels like one product, not a set of separate apps. The best mobile work here goes deep on the platform. You'll design experiences that take full advantage of what each device can do: notifications, Live Activities and the Dynamic Island, widgets, voice, Shortcuts and App Intents, share and system extensions, and their Android counterparts. You'll prototype in the real material, on device, using coding agents to turn ideas into working SwiftUI and shipping changes in the codebase alongside engineers. The role is deeply cross-functional. You'll partner closely with iOS, Android, and desktop engineers, product, and fellow designers across the org, and you care about everything that makes a product great: product thinking, interaction, visual craft, copywriting, and engineering. WHAT YOU'LL DO - Lead product design for our iPhone and Android apps, from early concept through polished, shipped detail - Design how the phone works alongside our desktop apps on macOS, Windows, and Linux, so people can start, monitor, steer, and hand off work across devices without friction - Design for agents that work in the background: progress you can glance at, interruptions that respect attention, and clear moments when a person needs to approve, answer, or take over - Make deep use of native platform capabilities, including notifications, Live Activities, widgets, voice, system intents, and extensions, so Perplexity feels built for each device rather than ported to it - Design trust into the product: permissions, approvals, and privacy flows that are clear and honest, and that keep people in control when an agent acts on their behalf - Prototype on device early and often, using real code to answer questions static mocks can't - Use coding agents to build in the production codebase and put up your own PRs, working alongside engineers to close the gap between the design and what ships - Keep patterns consistent across iOS, Android, and desktop while respecting each platform's conventions - Explore what new platform capabilities, input methods, and form factors make possible - Think about how to go from 0→1, and about how your decisions scale as the product grows - Contribute to process so we're always shipping changes you're proud of, as often as possible WHAT WE'RE LOOKING FOR - A strong track record of shipping native mobile apps for consumer or prosumer products - Deep fluency in iOS: platform conventions, navigation patterns, gestures, system components, and what's new each year - Working knowledge of Android and Material conventions, and the judgment to know when a design should adapt across platforms and when it should stay the same - Experience designing products that span multiple devices, or that integrate deeply with operating system features - Excellent interaction, visual, and motion skills, with a sharp eye for detail at small sizes and in glanceable moments - Comfort building with coding agents (Claude Code, Codex, Cursor, or similar) to prototype on device and land changes in a production codebase. You don't need to be an engineer, but you know enough about SwiftUI and Xcode to direct the work, review what it produces, and know when it's right - Systems thinking: you can turn complex, technical, or asynchronous behavior into something simple and understandable - An excellent communicator who can tell a clear story about design rationale to team members and leadership - You care about shipping great software more than anything else - Comfort with a high level of autonomy and ambiguity, and the craft to be seen as a peer lead by the rest of the design team - 5+ years of industry experience NICE TO HAVE - Experience designing for Android or working in Jetpack Compose - Experience designing for macOS, Windows, or other desktop platforms - Experience designing for AI agents, automation, developer tools, or products where software acts on a person's behalf - Shipped work with Live Activities, widgets, App Intents, watchOS, or other system-level surfaces - You've already been exploring or prototyping interactions for new form factors, like foldables NOTES FOR CANDIDATES - Please submit your portfolio with your application.

Perplexity19 ч назад

VP, Risk and Customer Management

Fanatics20 ч назад

Location: Denver, CO, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview: We are looking for an accomplished Vice President of Risk and Customer Management to own what we are willing to lay, to whom, and at what price, reporting to the Chief Trading Officer. The role sits deliberately independent of every business whose risk it governs - US Sportsbook, International Sportsbook, the US Predictions Exchange and the US Market Maker - and carries a two-sided mandate: to say no safely, and to say yes profitably. A function that only does the first will protect the balance sheet and lose the proposition. The ideal candidate will have extensive experience in risk management within betting or financial markets, a proven track record of setting and defending risk policy at scale, and the cautiousness required to protect a growing balance sheet against the costly error nobody saw coming. Responsibilities: Lead and oversee the two functions within Risk and Customer Management — Risk Strategy, which sets tolerance and policy across all four businesses, and Risk Operations, the 24/7 desk that executes it. Own the appetite each business holds, recognising that appetite differs between them in kind and not only in degree: the Market Maker optimises expected value, while the customer-facing businesses optimise expected value subject to an experience standard. Express risk appetite as a set of controls the business can change without a software release, specifying both the limits that cap exposure and the constraints that prevent availability being degraded in order to reduce it. Own the overall management of capital, and the controls that stop a costly error reaching the balance sheet unnoticed. Own customer profiling and safeguarding policy, using restriction sparingly on the basis that at scale it damages the brand, and favouring price and limit management over exclusion. Own a single, normalised view of exposure across the customer books and the market-making desk, and the netting of risk across the portfolio as a whole. Own the economics of the trade-off: where exposure justifies protection, where the cost-benefit favours taking more risk, and the discipline of not defaulting to the least disruptive option. Own the commercial relationship with our top VIP customer reps, partnering with Managed Trading Services and VIP on the experience those customers receive. Specify the appetite and exposure capabilities the platform must provide, and hold Trading Product and engineering to account for delivering them; drive the automation of risk decisioning so that the desk's judgement is spent on exceptions rather than the routine. Provide regular reports and analysis to senior management on exposure, risk appetite utilisation, and the performance of risk decisions. Foster a culture of excellence, teamwork and continuous improvement within the team, promoting professional development and knowledge sharing. Qualifications: Bachelor's degree in finance, mathematics, statistics, or related field. Advanced degree preferred. Minimum of 10-15 years of experience in risk management within sports betting, exchange or financial markets, with at least 3-5 years in a senior leadership role. Proven track record of owning risk policy independently of the commercial functions whose results it affects, and the credibility to hold that line. Experience managing capital and exposure across multiple products or books, including the consolidation of risk into a single view. Deep understanding of sports betting markets, customer profiling, promotional and arbitrage abuse, and the levers available short of restricting a customer. Strong analytical and quantitative skills, with the ability to interpret complex data and make data-driven decisions. A genuinely paranoid disposition about downside risk, paired with the commercial instinct to take risk where the cost-benefit favours it. Knowledge of regulatory requirements, responsible gambling obligations and compliance considerations related to sports betting and prediction market operations. Excellent communication and interpersonal skills, with the ability to build strong relationships and collaborate effectively across departments. Passion for sports and a commitment to delivering the best possible betting experience for customers. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $250,000 — $314,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Fanatics20 ч назад

VP, Managed Trading Services

Location: Denver, CO, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview: We are looking for an accomplished Vice President of Managed Trading Services to lead the teams that deliver the day-to-day quality of our betting proposition, reporting to the Chief Trading Officer. The role owns the foundations of a best-in-class customer experience across three businesses - US Sportsbook, International Sportsbook and the US Predictions Exchange - and is held to a single standard: that a customer has zero reasons to leave. The ideal candidate will have extensive experience running large-scale live trading operations, a proven track record of raising coverage, pricing accuracy and in-play quality at scale, and the conviction that manual intervention is a defect to be automated away rather than a job to be staffed. Responsibilities: Lead and oversee the four teams within Managed Trading Services — MTS US, MTS International, Trading Operations and Compliance, and Pricing Supervision — providing guidance, direction and support to ensure efficient and effective trading operations. Own the day-to-day quality of the proposition across the three customer-facing businesses: event and market coverage, in-play availability, speed and accuracy, and price position against competitors. Own the benchmarking programme, run as a shared service across the businesses, and hold the wider organisation to account against competitor coverage, price and availability. Own pricing supervision at the coal face for both pre-game and in-play: the tactical mitigations that keep prices safe in the moment, the escalation of root causes to the teams that own the underlying fix, and the retirement of every mitigation so that no temporary fix becomes permanent silently. Drive the conversion of manual work into automation, treating every repeated intervention as a defect, and reporting the rate at which human coverage is replaced by engine coverage. Ensure detection of problems is automated and remediation is human, and drive the proportion of defects found by customers rather than by our own systems towards zero. Act as a primary source of product feedback to Trading Product and engineering on the improvements that would most improve the core customer experience. Own trading operations and compliance, including settlement, market and event integrity, and the regulatory obligations attached to trading activity in every market we operate in. Partner with Risk and Customer Management on the experience our highest-value customers receive, and with Price Discovery and Quantitative Research on the fixes that remove recurring pricing defects at source. Foster a culture of excellence, teamwork and continuous improvement within the team, promoting professional development and knowledge sharing. Qualifications: Bachelor's degree in finance, mathematics, statistics, or related field. Advanced degree preferred. Minimum of 10-15 years of experience in sportsbook trading or trading operations, with at least 3-5 years in a senior leadership role. Proven track record of running large-scale, multi-jurisdiction live trading operations at high volume and under regulatory scrutiny. Demonstrable experience of reducing manual workload through automation rather than headcount, and comfort holding a team to an automation target. Deep understanding of the modern betting proposition, including same-game parlays, player props and high in-play availability, and the trading disciplines that keep them accurate at scale. Strong analytical and quantitative skills, with the ability to interpret complex data and make data-driven decisions. Knowledge of regulatory requirements and compliance considerations related to sports betting operations, including settlement and integrity obligations. Excellent communication and interpersonal skills, with the ability to build strong relationships and collaborate effectively across departments. Experience with trading platforms, benchmarking and risk management tools, and working fluency with AI tooling applied to operational problems. Passion for sports and a commitment to delivering the best possible betting experience for customers. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $250,000 — $314,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Anthropic20 ч назад

Partner Support Operations Lead

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Partner Network is how partners build, sell, and deliver on Claude. Partner Support keeps them moving: getting set up, getting certified, registering their work, and understanding where they stand in the program. It runs in layers. Self-serve and an AI support agent handle what they can, an outsourced vendor team works the in-scope (L1) topics, and our specialists take the escalated (L2) cases that need judgment. As our Partner Support Operations Lead, you will run partner support end to end: the team, the operating model, and the systems behind every layer. Partner Programs sets program policy. You will build and run the service levels, knowledge, quality bar, and escalation paths that put that policy into practice, and keep them reliable as volume grows. This is a hands-on operator and builder role. You will be close enough to the queue to know why a case was hard or a rule broke, while you build the team, the vendor coverage, and the Claude-powered automation that keep support from growing in line with partner count. Key responsibilities Manage the partner support team: set priorities and clear expectations, coach the Partner Support Specialists, address performance early, and expand the team if volume or coverage calls for it Own the support operating model: the L1 and L2 boundary, severity definitions, service levels, and escalation paths; review misrouted and wrongly escalated tickets, and fix the rule as well as the ticket Run the L2 queue to its service levels: coverage across shifts, one owner for every case, clean handoffs to the teams that hold the answer, and careful handling of sensitive and high-impact partner issues Manage the support service line with our business process outsourcing (BPO) team: work with their leads day to day and hold a stated quality bar through training and sign-off for each new cohort, the QA rubric and calibration, the weekly operating review, and corrective action when quality or coverage slips Own the knowledge layer: one source of truth for the help center, macros, and AI agent content, updated when a program change ships, so every layer gives partners the same answer from day one of a launch Own the support platform: routing, conversation attributes, views, workflows, access, and service-level reporting; keep the taxonomy short, consistent, and reportable Scale through self-serve, vendors, and Claude: use topic and outcome data to decide what moves to each, and build automations for tagging, routing, QA screening, and reporting; test them on real tickets and add human checkpoints where a wrong answer carries risk Turn what partners ask into fixes: bring the recurring causes behind ticket volume to Partner Programs, Partner Business Systems, and other owners, and follow each one through until the tickets stop Run support on a scorecard covering responsiveness, resolution, escalation accuracy, and quality, and use it to plan capacity and to tell the team, the vendor, and leadership what to fix next Minimum qualifications Support operations experience at a technology company, including managing a small team Experience running an outsourced or BPO support team: onboarding waves, service levels, QA rubrics, calibration, and performance feedback A track record of building a tiered support model from an early stage and running it as volume grew Hands-on depth in Intercom or a comparable platform (Zendesk, Salesforce Service Cloud): routing rules, attributes, workflows, reporting, and permissions Experience running knowledge and content for an AI support agent, including how to review answer quality and close content gaps Strong analytical instincts: able to read ticket data, find the cause behind a spike or a backlog, and turn it into a fix and a capacity plan Sound judgment while the program is still moving: able to make the call with incomplete information, hold a policy line with a frustrated partner or an internal stakeholder, and keep the relationship intact A builder's mindset and clear writing: you use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it Preferred qualifications Support operations experience in a B2B, partner, or channel environment Experience supporting a partner, reseller, systems integrator, or independent software vendor (ISV) program Experience building support coverage across regions, time zones, or languages Familiarity with Salesforce, and with the Claude API, Claude Code, or MCP The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Anthropic21 ч назад

Tech Lead Manager, Growth Data Science

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions. Key responsibilities Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow Minimum qualifications Have extensive experience in data science, including leading analytics for a growth or product area at significant scale Have 5+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Preferred qualifications Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling Experience with targeting, personalization, or uplift models in production Background at consumption-based, multi-product companies serving both consumers and enterprises Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $460,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Fivetran21 ч назад

Enterprise Demand Generation Lead — North America

Location: USA - New York (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role As Fivetran scales its Enterprise business, we're looking for a senior individual contributor – with a strong bias towards AI automation – to own the International Enterprise pipeline number across North America. You'll be the right hand to the Director of Global Demand, driving lead generation and territory hydration and ensuring the touchpoints and MQL volumes needed to hit Enterprise sales targets. You’ll build and run the always-on 1-to-many ABM engine for Enterprise accounts in North America: agent-driven workflows that turn account signals (intent, tech stack, CRM stage) into campaigns, creative, and landing pages, with guardrails and human review where it matters. This is a strategy-and-execution role: you'll set the plan and roll up your sleeves with the team to make it work. What you'll own You'll own the North America enterprise pipeline number, with accountability for lead generation, territory hydration, and the touchpoint and MQL volumes needed to support sales targets. You'll execute account-specific programs to drive account engagement, lead generation and monitor the funnel from touchpoints through qualified opportunities and pipeline. You will own key paid channels, like LinkedIn and Meta, to drive these outcomes. Things you will build: Agentic workflows, using Claude or similar harnesses, that creates, launches, and optimizes LinkedIn and Meta campaigns across target-account tiers. Connections between ad platforms, Salesforce, and signal sources such as intent and tech-stack data, so audiences and creative update without manual list uploads. A weekly review loop where the system and you assess what worked and improve it. You'll work across lifecycle marketing, customer marketing, ABM, product marketing, and regional teams to orchestrate integrated programs. Partnering with the Director of Global Demand and Regional Marketing and ABM leaders, you'll improve the demand operating model across North America. What success looks like 6 months: target-account tiers and signals defined; an agent-assisted campaign workflow live for a first segment, with measurable gains in launch speed and cost per touchpoint or MQL. 12 months: the engine runs across the North America Enterprise account list with BDR handoff, and it improves itself through a regular review loop. Pipeline influence and BDR conversion on engaged accounts are tracked. What we're looking for Deep, hands-on expertise in paid media and account-based marketing for enterprise buyers (LinkedIn required), plus experience in at least one of lifecycle, customer, or product marketing. Experience running multi-lifecycle stage campaigns targeting enterprise buying committees Proficiency in using LLM harnesses to automate marketing tasks, and improve marketing performance Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Excellent communication skills, specifically in communicating business outcomes, headwinds and tailwinds You’ve built and shipped agentic or automated workflows in production, not just prompts: connecting APIs or MCP servers, defining guardrails, and measuring impact. Hands-on familiarity with CRM data (Salesforce), ad platform APIs, and signal tools is a strong plus. You're comfortable operating as a senior IC who leads through influence rather than headcount. You should be comfortable galvanizing support behind an initiative when a number is at risk. You think in systems, you're fluent in the metrics that matter, and you move fluidly between setting strategy and executing the work yourself. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $162,772.50 — $203,465.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

20four7VA21 ч назад

CPT-11783 Executive & Operations Virtual Assistant

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11783 Executive & Operations Virtual Assistant Independent Contractor – CPT-11783 Executive & Operations Virtual Assistant/Business Support VA/Junior-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A fast-paced logistics and last-mile delivery company operating an electric cargo bike delivery program in New York City is seeking a full-time Executive & Operations VA to provide administrative and operational support directly to the CEO. The immediate priority is scheduling and attendance support while an existing team member is on leave. As those responsibilities transition back, the VA will shift toward broader executive support, including inbox and calendar management, follow-up, vendor coordination, paperwork, reporting, and recurring administrative tasks. The client uses AI extensively throughout the business, including Claude and AI-supported scheduling workflows. The ideal candidate must be comfortable using AI as part of their everyday work and have experience supporting a U.S.-based business. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Scheduling & Attendance Support Monitor scheduling requests, shift swaps, time-off requests, and availability changes Post and track open shifts based on staffing needs Identify same-day coverage gaps and escalate urgent issues Track call-outs, no-shows, and attendance activity Maintain accurate scheduling and attendance records Communicate routine scheduling updates using established procedures Executive & Administrative Support Monitor and organize the CEO’s inbox Draft routine responses and flag urgent or important messages Manage calendar requests and meeting coordination Maintain follow-up lists and track outstanding action items Assist with recurring paperwork, reports, and administrative tasks Provide dependable coverage when the CEO is busy or unavailable Vendor & Operations Support Follow up with vendors and other business partners on outstanding items Open and track repair or service tickets Organize delivery manifests, recurring reports, and shared files Collect documentation needed for recurring reporting and reconciliation Help ensure operational tasks continue moving through completion AI-Assisted Support Use Claude and other approved AI tools for drafting, summarizing, organizing information, and preparing reports Work within existing AI-supported scheduling and administrative workflows Review AI-generated information for accuracy Learn and adapt to new AI workflows created by the client Help identify opportunities to make recurring administrative work more efficient Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: 2+ years as a remote executive or operations assistant for a U.S. company required Strong written English for short, clear, and polite messages to delivery associates required Fluency in Google Sheets (filters, lookups, basic formulas) and Gmail required Comfort using AI tools such as Claude or ChatGPT in daily work required Comfortable following written rules and escalating anything outside them required Available for the full shift with backup power and internet required Experience with Sling or another shift-scheduling tool preferred Logistics, delivery, or staffing-agency experience, especially with Amazon DSPs, preferred IDEAL CANDIDATE PROFILE Highly reliable, organized, and responsive Experienced supporting executives or operations for a U.S.-based business Comfortable working in a fast-paced environment with a large hourly workforce Strong judgment regarding what can be handled independently versus escalated Direct and efficient communicator Comfortable learning detailed SOPs and operational processes Highly comfortable using AI in everyday work Familiar with U.S. business and workplace culture APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Sling (Training Provided) Google Workspace (Gmail, Calendar, Sheets, Drive) Slack Claude (Client Team Account) ADP (Read-Only) Papaya (E-Bike Repair Tickets) Password Manager (Client-Provided) Work Schedule Contracted Hours per Week: 40 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 7:00 AM–3:30 PM ET Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Junior, Senior Level Contracted Hours per Week: 40 hours/week Daily Working Time: 7:00 AM–3:30 PM ET Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English Required (Spanish a Plus) ACCENT PREFERENCE: Level A–C (Strong Written English Required) REGION PREFERENCES: Offshore or Nearshore What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Fanatics21 ч назад

Senior Manager, Performance Creative Strategy – Casino (Remote)

Location: Leeds, England, United Kingdom; London, England, United Kingdom; Manchester, England, United Kingdom About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Primary Focus: As Senior Manager, Performance Creative Strategy at Fanatics Betting & Gaming (FBG), you are responsible for defining the strategic priorities, audience opportunities and learning agenda that shape Fanatics Casino performance creative. You’ll uncover the hooks, angles and player insights most likely to resonate, translate them into clear, inspiring briefs for the internal creative team, and track performance to understand what works and why. This role is the strategic link between player insight, creative development and performance results, ensuring the right problems are being solved and that learnings continuously inform future briefs across acquisition, engagement and retention. This position reports directly to the Senior Director, Performance Creative & GTM, and manages one Associate, Performance Creative. Key Responsibilities: Own the Casino performance creative strategy across paid social, app networks, CTV, affiliates and lifecycle, aligned with business priorities, audience insight and brand positioning. Build and evolve the Casino creative variation framework, mapping hooks, angles, reasons to believe, formats and offers to audience and funnel stage. Translate business objectives and player insight into clear, inspiring briefs for the internal creative agency, including scripts, hook variations and iteration briefs on winning concepts. Own the Casino testing agenda, defining what we want to learn, how we measure a win, and which tests run each month. Drive a high-velocity testing program across hooks, openers, formats, offers and creators, continuously improving hit rate and speed to learning. Partner with Media and Analytics to track creative performance, identify winners and fatigue early, and apply learnings to the next round of briefs. Write concise test readouts and maintain a living library of what works for Casino players. Identify and define the performance territories, audience tensions and messaging opportunities to support creative briefs Embed performance requirements into brand and full-funnel campaign briefs from the outset (in collaboration with integrated marketing and media), ensuring channel, audience, format and measurement needs are clear before creative development begins. Partner with the Casino Creative Studio to translate those requirements into effective creative, with the Studio retaining ownership of creative direction and execution. Advise Brand and agency partners on hooks, edits, cutdowns, aspect ratios and platform-native versions, so big campaign moments carry through to always-on performance and lifecycle. Source player insight, competitor ad libraries, creator content and platform trends to identify new angles and white space. Lead performance strategy/creative insight sessions and contribute a strong POV to creative brainstorms, working closely with the Casino Creative Studio. Present performance learnings and recommendations in GTM forums and monthly reviews, turning results into a clear story for senior leadership. Lead, mentor and develop an Associate, building their craft in briefing, analysis and testing. How This Role Connects Across the Team: Partners with the internal producer, who owns production timelines and delivery, to keep briefs, priorities and the content calendar aligned. Partners with the Casino Creative Studio and Integrated Marketing to shape high-quality output, providing direction and feedback while respecting executional ownership. Partners with Brand and Integrated Marketing to embed performance best practice into campaigns, ensuring work is both distinctive and built to perform across the funnel. Partners with Media, Analytics and CRM to define success measures, read results and feed learnings back into strategy. Works with Legal, Compliance and Creative Operations to keep all creative compliant and aligned with Responsible Gaming standards. Partner with the affiliates teams to produce UGC briefs aligned to channel best practice, adapting content that’s optimised for performance (via creative briefs) Skills & Qualifications: 8+ years of experience in creative strategy, performance creative or brand strategy, including 3+ years leading creative strategy for a fast-growing D2C brand, mobile app, gaming or casino business. Portfolio demonstrating hook-led, insight-driven creative and the performance results behind it. Deep knowledge of platform-native creative across Meta, TikTok, YouTube, Snap and app networks, including UGC and creator formats. Proven track record building and running creative testing programs at volume. Strong analytical skills, with the ability to read performance data, size results and translate them into clear recommendations. Excellent storytelling and writing skills, from a 6-second hook to a campaign narrative to an executive readout. Experience influencing brand and integrated campaigns across matrixed teams without direct ownership. Experience managing and developing direct reports. Willingness to travel occasionally for team meetings and Fanatics events. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #li-JM3 By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

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3 202 вакансий по запросу «York»Сначала свежие

Perplexity18 ч назад

Head of Marketing Operations

ГибридheadSan Francisco; Austin; New York City

Perplexity18 ч назад

Head of Marketing Operations

Rain18 ч назад

Product Compliance Manager

Ramp18 ч назад

Customer Success Manager, Enterprise

Ramp18 ч назад

Customer Success Manager, Mid-Market

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Mid-Market Customer Success Managers on the Lifecycle team don't stop at go-live — they make sure customers keep getting more from Ramp as their business grows. Ramp has grown its product suite significantly over the last several years. As we've matured as an organization, our customer relationships have grown more complex too: customers are buying more of the platform at once, running it across more entities and teams, and relying on it for more of how their finance function operates. Hitting an activation milestone doesn't mean the job's finished. Too often, a feature that could solve a real problem goes unused because no one is there to show how it would work in that customer's business. That's where you come in. This is a role for people who understand how finance teams actually run, who think in years rather than quarters, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll own the customer experience after implementation for a book of mid-market customers, partnering with Account Management on long-term account strategy. You'll also be one of the first Lifecycle CSMs on a newly formed team, helping define how Ramp earns and keeps the trust of its customers. WHAT YOU'LL DO 1. Own the post-implementation experience for a book of mid-market customers, with clear accountability for sustained adoption, customer satisfaction, and renewal readiness 2. Drive sustained adoption by understanding each customer's goals and guiding them toward the workflows that improve outcomes for their business — including the products and features they've already purchased but haven't fully put to work 3. Act as each customer's expert in finance workflows: understand how they run their business, advise on decisions as their needs change, and make the value of new Ramp capabilities clear in their context 4. Build multi-threaded relationships in every account, including finance leadership relationships you own, so the account stays steady through change like a new Controller or CFO 5. Partner with Account Management on QBRs and business reviews, quantifying Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, savings, and ROI — not just product usage metrics 6. Spot opportunities for growth and bring them to Account Management, who owns renewals and expansion; as customers add products, drive ongoing activation so they reach value quickly 7. Run your book on data: monitor usage, CP, and risk signals, prioritize where your time goes, and get ahead of challenges and escalations before they reach renewal 8. Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match 9. Bring customer feedback back into Ramp — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves 10. Turn what works into repeatable plays, programs, and automations that scale across your book and the team WHAT YOU'LL NEED - 5+ years of customer-facing experience in customer success, account management, or consulting, with a proven, consistent track record of retaining customers and exceeding goals - Experience owning a book of customers past launch and through renewal, with measurable retention, adoption, or satisfaction results; finance or fintech context is a plus but not required - A customer experience mindset — you get ahead of problems before customers raise them and own escalations through resolution - AI fluency as a daily habit — you already use AI tools habitually to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks; this is how you work, not something you're exploring - Ability to communicate Ramp's impact in financial terms — walking a Controller through the value Ramp has delivered and connecting adoption to P&L outcomes - A data-driven approach to managing a book — you prioritize based on usage, revenue, and risk signals and can spot an at-risk account well before renewal - Technical and systems acumen to understand how Ramp fits into a customer's finance stack, diagnose what's blocking adoption, and bring in the right technical partner - A builder mindset — this team is new, and you're energized by shaping the playbooks, programs, and rituals that define how Lifecycle CSMs work while running your own book; you bring structure to ambiguity and iterate quickly - Strong collaboration and influencing skills across Sales, Account Management, Product, Operations, and other GTM teams NICE TO HAVES 1. Experience with a consumption-based product where value is measured in usage or spend, not seats 2. Exposure to FP&A, accounting software ecosystems (NetSuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows 3. Demonstrated commercial impact — retention, adoption, or renewal outcomes with specific metrics attached 4. Background at an AI-first or AI transformation company where rethinking workflows around AI was part of the product or culture 5. High-growth or startup experience with comfort operating in ambiguity and rapid change BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf. OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Perplexity18 ч назад

Location: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our marketing programs bring in thousands more leads. To turn that demand into pipeline, every lead has to be enriched, scored, and routed to the right next step within minutes. We're hiring a Growth GTM Engineer on the Revenue Operations team to own the lead-to-engagement engine. You'll orchestrate enrichment across marketing and product leads. You'll build the scoring models that combine firmographic and technographic fit with demonstrated intent and product behavior. You'll own the routing that sends each lead back to Marketing for nurture or to BDRs and Sales for engagement. And you'll help build the custom internal apps our reps use to research, prioritize and engage prospects. You'll report to the Head of Marketing Operations, who sets the priorities for this work and owns our marketing automation platform, campaigns and attribution. You'll write production code, own the data and logic between our warehouse and Salesforce, and measure everything you build against meetings, pipeline and revenue. Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own enrichment orchestration. Design and run waterfall enrichment across third-party data providers, AI research agents and first-party data for every marketing and product lead. Handle lead-to-account matching, deduplication, field governance, data freshness and provider cost, so every record is complete, accurate and ready to act on. - Own and iterate on lead and account scoring. Build fit models from firmographic and technographic attributes such as industry, size, region, tech stack, AI maturity and buying-committee coverage. Combine them with intent and behavior signals: web and content engagement, email and campaign engagement from Marketing Operations, third-party intent, event activity, and product usage signals from the Growth team. Calibrate the models against closed-won and closed-lost data, version them, and explain to Sales why a lead scored the way it did. - Own lead routing. Design the decision logic that sends each lead to Marketing for nurture or to a BDR, AE or Account Manager for engagement, based on score, segment, territory, account ownership, capacity and existing opportunities. Co-define lifecycle stages, handoff SLAs, recycle rules and speed-to-lead triggers with the Head of Marketing Operations, and enforce them in Salesforce and our routing tools. - Close the feedback loop. Instrument the funnel from lead creation to MQL, meeting, opportunity and closed-won. Find where leads stall, which sources and signals predict pipeline, and whether our qualification criteria still hold, then send those insights back into scoring, routing and Marketing programs. Supply the data behind attribution, which the Head of Marketing Operations owns. - Help build custom internal apps for prospect engagement. Ship the tools reps use every day, such as account and prospect research briefs, signal-triggered alerts in Slack and Salesforce, prioritized call and outreach queues, and LLM-powered agents that draft personalized outreach and prepare reps before first touch. Run them like products: talk to users, track adoption and retire what doesn't get used. These apps are part of our BDR prospecting toolset, a combination of internal builds and vendor solutions that the Head of Marketing Operations owns or co-owns. Deliver against that roadmap, including integrating vendor tools with Salesforce and our data layer. - Be the technical owner of the lead data layer. Build and maintain the dbt models, reverse ETL syncs, APIs and webhooks that connect Snowflake, Salesforce, marketing automation, enrichment providers and engagement tools. Make sure data flows are observable, tested and trusted. Support the rollout of our first marketing automation platform by building the Salesforce and warehouse side of its sync. - Partner across the business. Work with Marketing, Growth, BDR and Sales leadership, Data Science and Sales Systems to turn messy processes into durable systems. Work with the Growth team, using the PLG signals they publish to drive scoring and routing. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit the current enrichment coverage, scoring logic, routing rules and lead SLAs, and document the gaps that cost us pipeline. In your first 90 days: - Ship an enrichment waterfall with measurable gains in fill rate and accuracy. - Ship an evolution of our unified scoring model that combines fit, intent and product signals, with a published rubric Sales trusts. - Ship routing that sends every lead to nurture or sales within an agreed SLA, with dashboards that show speed to lead and conversion by route. In your first 6 months: - Ship at least one rep-facing engagement app or agent with sustained weekly use by BDRs and AEs. - Show a measurable lift in MQL-to-meeting and meeting-to-opportunity conversion. QUALIFICATIONS - 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment, including at least 2 years building enrichment, scoring or routing systems. - Commercial instinct. You start from a revenue problem, like "inbound enterprise leads wait too long for a first touch," and work back to the data, logic or tool that fixes it. - Strong SQL and experience building data models in a warehouse (Snowflake, dbt or similar). You pull your own data. - Production code in Python or TypeScript. You've shipped internal tools, integrations or agents that real users depend on. - Deep working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns, ownership), and experience automating within it and integrating with it. - Hands-on experience with enrichment and intent providers and orchestration tools, such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase or Common Room. - Fluency with funnel mechanics: lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data and conversion metrics. - Comfort with REST APIs, webhooks, OAuth, rate limits and error handling across third-party GTM tools. - Operator and business partner mindset. You work directly with reps and marketers, ship fixes quickly, and don't need a PM to translate requests. NICE TO HAVE - Experience in a hybrid PLG and sales-led motion: product-qualified leads, mapping users to accounts, and sales-assist routing. - Experience with routing and scheduling tools (Default, Chili Piper, LeanData) and reverse ETL (Hightouch, Census, Polytomic). - Experience building LLM-powered research, personalization or qualification agents, including evaluation and monitoring. - Experience with statistical or ML-based scoring (logistic regression, gradient boosting) and model calibration. - Entity resolution and domain-matching experience at scale. - Prior GTM Engineer experience at a GTM-tooling or AI-native company.

Perplexity18 ч назад

Location: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our marketing programs bring in thousands more leads. To turn that demand into pipeline, every lead has to be enriched, scored, and routed to the right next step within minutes. We're hiring a Growth GTM Engineer on the Revenue Operations team to own the lead-to-engagement engine. You'll orchestrate enrichment across marketing and product leads. You'll build the scoring models that combine firmographic and technographic fit with demonstrated intent and product behavior. You'll own the routing that sends each lead back to Marketing for nurture or to BDRs and Sales for engagement. And you'll help build the custom internal apps our reps use to research, prioritize and engage prospects. You'll report to the Head of Marketing Operations, who sets the priorities for this work and owns our marketing automation platform, campaigns and attribution. You'll write production code, own the data and logic between our warehouse and Salesforce, and measure everything you build against meetings, pipeline and revenue. Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own enrichment orchestration. Design and run waterfall enrichment across third-party data providers, AI research agents and first-party data for every marketing and product lead. Handle lead-to-account matching, deduplication, field governance, data freshness and provider cost, so every record is complete, accurate and ready to act on. - Own and iterate on lead and account scoring. Build fit models from firmographic and technographic attributes such as industry, size, region, tech stack, AI maturity and buying-committee coverage. Combine them with intent and behavior signals: web and content engagement, email and campaign engagement from Marketing Operations, third-party intent, event activity, and product usage signals from the Growth team. Calibrate the models against closed-won and closed-lost data, version them, and explain to Sales why a lead scored the way it did. - Own lead routing. Design the decision logic that sends each lead to Marketing for nurture or to a BDR, AE or Account Manager for engagement, based on score, segment, territory, account ownership, capacity and existing opportunities. Co-define lifecycle stages, handoff SLAs, recycle rules and speed-to-lead triggers with the Head of Marketing Operations, and enforce them in Salesforce and our routing tools. - Close the feedback loop. Instrument the funnel from lead creation to MQL, meeting, opportunity and closed-won. Find where leads stall, which sources and signals predict pipeline, and whether our qualification criteria still hold, then send those insights back into scoring, routing and Marketing programs. Supply the data behind attribution, which the Head of Marketing Operations owns. - Help build custom internal apps for prospect engagement. Ship the tools reps use every day, such as account and prospect research briefs, signal-triggered alerts in Slack and Salesforce, prioritized call and outreach queues, and LLM-powered agents that draft personalized outreach and prepare reps before first touch. Run them like products: talk to users, track adoption and retire what doesn't get used. These apps are part of our BDR prospecting toolset, a combination of internal builds and vendor solutions that the Head of Marketing Operations owns or co-owns. Deliver against that roadmap, including integrating vendor tools with Salesforce and our data layer. - Be the technical owner of the lead data layer. Build and maintain the dbt models, reverse ETL syncs, APIs and webhooks that connect Snowflake, Salesforce, marketing automation, enrichment providers and engagement tools. Make sure data flows are observable, tested and trusted. Support the rollout of our first marketing automation platform by building the Salesforce and warehouse side of its sync. - Partner across the business. Work with Marketing, Growth, BDR and Sales leadership, Data Science and Sales Systems to turn messy processes into durable systems. Work with the Growth team, using the PLG signals they publish to drive scoring and routing. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit the current enrichment coverage, scoring logic, routing rules and lead SLAs, and document the gaps that cost us pipeline. In your first 90 days: - Ship an enrichment waterfall with measurable gains in fill rate and accuracy. - Ship an evolution of our unified scoring model that combines fit, intent and product signals, with a published rubric Sales trusts. - Ship routing that sends every lead to nurture or sales within an agreed SLA, with dashboards that show speed to lead and conversion by route. In your first 6 months: - Ship at least one rep-facing engagement app or agent with sustained weekly use by BDRs and AEs. - Show a measurable lift in MQL-to-meeting and meeting-to-opportunity conversion. QUALIFICATIONS - 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment, including at least 2 years building enrichment, scoring or routing systems. - Commercial instinct. You start from a revenue problem, like "inbound enterprise leads wait too long for a first touch," and work back to the data, logic or tool that fixes it. - Strong SQL and experience building data models in a warehouse (Snowflake, dbt or similar). You pull your own data. - Production code in Python or TypeScript. You've shipped internal tools, integrations or agents that real users depend on. - Deep working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns, ownership), and experience automating within it and integrating with it. - Hands-on experience with enrichment and intent providers and orchestration tools, such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase or Common Room. - Fluency with funnel mechanics: lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data and conversion metrics. - Comfort with REST APIs, webhooks, OAuth, rate limits and error handling across third-party GTM tools. - Operator and business partner mindset. You work directly with reps and marketers, ship fixes quickly, and don't need a PM to translate requests. NICE TO HAVE - Experience in a hybrid PLG and sales-led motion: product-qualified leads, mapping users to accounts, and sales-assist routing. - Experience with routing and scheduling tools (Default, Chili Piper, LeanData) and reverse ETL (Hightouch, Census, Polytomic). - Experience building LLM-powered research, personalization or qualification agents, including evaluation and monitoring. - Experience with statistical or ML-based scoring (logistic regression, gradient boosting) and model calibration. - Entity resolution and domain-matching experience at scale. - Prior GTM Engineer experience at a GTM-tooling or AI-native company.

Perplexity19 ч назад

Perplexity19 ч назад

Perplexity19 ч назад

Perplexity19 ч назад