Вакансии

Location: Remote - US Central About the Job: We are looking for a talented Senior Solutions Engineer at LaunchDarkly,  you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-facing role. Experience in areas such as the SDLC, cloud architecture, or DevOps. Extensive knowledge of cloud platforms, expertise in at least one (e.g., AWS, Azure  & Google Cloud). Demonstrated excellence in leading & documenting a proof of concept and building technical & deal champions. Excellent communication and presentation skills. Demonstrated history of presenting thought leadership to the broader industry. Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). Experience with security and compliance frameworks PII, PCI, HIPAA, is a bonus Specific Requirements: 50% travel required Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870 ** Zone 3: All other US locations - $182,600 - $251,020* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Зарплата не указана

Location: USA - New York 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 Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role The Growth Marketing Strategy and Planning Manager sits at the intersection of B2B marketing strategy and performance analytics. You sit within GTM Strategy & Planning and act as the right hand to the VP of Growth - helping the team decide where to spend their next dollar, setting marketing-level targets in partnership with Finance, and making recommendations of how to maximize the revenue yield from demand. The marketing team you’ll be supporting owns the digital/technical marketing channels that are heavily reliant on data-driven decisions and insights. The team’s outcomes support both the sales-led business and our PLG motion, and we make decisions around lead routing between the two businesses so that we maximize revenue yield. This is a high visibility role with direct exposure to marketing leadership. We're looking for someone who brings structure to ambiguity, has the business judgment to challenge assumptions, and can move fast without sacrificing rigor. You translate performance data into investment decisions and defend those decisions to senior stakeholders. This is a full-time position based out of our Oakland, Denver, Austin, or New York City offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including one to two days in the office each week to connect and build as a team. What You’ll Do Target Setting and Impact Measurement Own annual and quarterly target setting for the Growth marketing organization, including channel-level targets and budget allocation driven by a documented planning model Support annual budgeting and in-quarter re-planning with recommendations on investment levels and channel mix Own marketing ROI analysis: calculate and report on cost-per-lead, cost-per-opportunity, CAC by channel, and marketing efficiency ratios Develop segment and region level views of marketing performance to support resource allocation decisions Design and maintain models to quantify the impact of marketing programs across the buyer journey Conduct ad hoc deep dives to diagnose pipeline trends, marketing channel performance, or funnel conversion issues and proactively surface recommendations Executive reporting & Cross-functional Alignment Support the weekly and monthly business review process: prepare data and partner with leadership to build a narrative that converts data into actionable insights Drive alignment on ICP across product marketing, product, sales, and marketing so targeting, messaging, and investment point at the same accounts Scope dashboard needs and partner with the Analytics team to build them out Commercial Pipeline model Own the Growth pipeline model, aligning sourced and influenced contribution across partner, sales, BDR, and marketing Work with Field Ops for Commercial and the BDR org to ensure marketing's pipeline contribution supports the coverage needed to hit the business target Maintain the coverage, conversion, and velocity assumptions the model runs on, and reconcile them with Field Ops and Finance Experimentation and Optimization Analyze marketing experiments (landing pages, email sequences, ad creative, offers) to drive continuous improvement Partner with our Head of PLG Revenue to identify friction in the self serve funnel and recommend interventions Design experiments that help optimize the marketing spend and pipeline ROI Capacity & headcount planning Own capacity and headcount planning for the Growth marketing organization, tying resourcing to targets and coverage requirements Model the trade-offs between headcount, program spend, and pipeline output to inform investment and org decisions Skills We’re Looking For 4 to 7 years of experience in marketing analytics, GTM/marketing strategy, revenue operations analytics, FP&A or business intelligence within a B2B SaaS environment Strong planning and financial-modeling skills: comfortable building target, budget, and pipeline-coverage models from ambiguous inputs Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts Comfortable with SQL, Excel/google sheets and BI/visualization tools like Looker to move quickly through data Working knowledge of Salesforce (reports, dashboards, opportunity data), marketing automation platforms (Marketo preferred), and ad platforms (Demandbase, Google Ads, LinkedIn Ads, chatgpt Ads, etc) Bonus Skills​ Python or R proficiency for statistical analysis, automation, or building lightweight models Experience with multi-touch attribution platforms (Bizible/Marketo) Exposure to experiment design, significance testing, or applied statistics in a marketing context Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker) Background in data infrastructure, developer tools, or analytics software industries #LI-HYBRID #LI-MM1 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 $150,573 — $188,216 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.

Location: Oakland, California, United States, AMER 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 Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role The Growth Marketing Strategy and Planning Manager sits at the intersection of B2B marketing strategy and performance analytics. You sit within GTM Strategy & Planning and act as the right hand to the VP of Growth - helping the team decide where to spend their next dollar, setting marketing-level targets in partnership with Finance, and making recommendations of how to maximize the revenue yield from demand. The marketing team you’ll be supporting owns the digital/technical marketing channels that are heavily reliant on data-driven decisions and insights. The team’s outcomes support both the sales-led business and our PLG motion, and we make decisions around lead routing between the two businesses so that we maximize revenue yield. This is a high visibility role with direct exposure to marketing leadership. We're looking for someone who brings structure to ambiguity, has the business judgment to challenge assumptions, and can move fast without sacrificing rigor. You translate performance data into investment decisions and defend those decisions to senior stakeholders. This is a full-time position based out of our Oakland, Denver, Austin, or New York City offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including one to two days in the office each week to connect and build as a team. What You’ll Do Target Setting and Impact Measurement Own annual and quarterly target setting for the Growth marketing organization, including channel-level targets and budget allocation driven by a documented planning model Support annual budgeting and in-quarter re-planning with recommendations on investment levels and channel mix Own marketing ROI analysis: calculate and report on cost-per-lead, cost-per-opportunity, CAC by channel, and marketing efficiency ratios Develop segment and region level views of marketing performance to support resource allocation decisions Design and maintain models to quantify the impact of marketing programs across the buyer journey Conduct ad hoc deep dives to diagnose pipeline trends, marketing channel performance, or funnel conversion issues and proactively surface recommendations Executive reporting & Cross-functional Alignment Support the weekly and monthly business review process: prepare data and partner with leadership to build a narrative that converts data into actionable insights Drive alignment on ICP across product marketing, product, sales, and marketing so targeting, messaging, and investment point at the same accounts Scope dashboard needs and partner with the Analytics team to build them out Commercial Pipeline model Own the Growth pipeline model, aligning sourced and influenced contribution across partner, sales, BDR, and marketing Work with Field Ops for Commercial and the BDR org to ensure marketing's pipeline contribution supports the coverage needed to hit the business target Maintain the coverage, conversion, and velocity assumptions the model runs on, and reconcile them with Field Ops and Finance Experimentation and Optimization Analyze marketing experiments (landing pages, email sequences, ad creative, offers) to drive continuous improvement Partner with our Head of PLG Revenue to identify friction in the self serve funnel and recommend interventions Design experiments that help optimize the marketing spend and pipeline ROI Capacity & headcount planning Own capacity and headcount planning for the Growth marketing organization, tying resourcing to targets and coverage requirements Model the trade-offs between headcount, program spend, and pipeline output to inform investment and org decisions Skills We’re Looking For 4 to 7 years of experience in marketing analytics, GTM/marketing strategy, revenue operations analytics, FP&A or business intelligence within a B2B SaaS environment Strong planning and financial-modeling skills: comfortable building target, budget, and pipeline-coverage models from ambiguous inputs Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts Comfortable with SQL, Excel/google sheets and BI/visualization tools like Looker to move quickly through data Working knowledge of Salesforce (reports, dashboards, opportunity data), marketing automation platforms (Marketo preferred), and ad platforms (Demandbase, Google Ads, LinkedIn Ads, chatgpt Ads, etc) Bonus Skills​ Python or R proficiency for statistical analysis, automation, or building lightweight models Experience with multi-touch attribution platforms (Bizible/Marketo) Exposure to experiment design, significance testing, or applied statistics in a marketing context Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker) Background in data infrastructure, developer tools, or analytics software industries #LI-HYBRID #LI-MM1 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. Oakland Pay Range $150,573 — $188,216 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.

Location: USA - Austin (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 Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role The Growth Marketing Strategy and Planning Manager sits at the intersection of B2B marketing strategy and performance analytics. You sit within GTM Strategy & Planning and act as the right hand to the VP of Growth - helping the team decide where to spend their next dollar, setting marketing-level targets in partnership with Finance, and making recommendations of how to maximize the revenue yield from demand. The marketing team you’ll be supporting owns the digital/technical marketing channels that are heavily reliant on data-driven decisions and insights. The team’s outcomes support both the sales-led business and our PLG motion, and we make decisions around lead routing between the two businesses so that we maximize revenue yield. This is a high visibility role with direct exposure to marketing leadership. We're looking for someone who brings structure to ambiguity, has the business judgment to challenge assumptions, and can move fast without sacrificing rigor. You translate performance data into investment decisions and defend those decisions to senior stakeholders. This is a full-time position based out of our Oakland, Denver, Austin, or New York City offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including one to two days in the office each week to connect and build as a team. What You’ll Do Target Setting and Impact Measurement Own annual and quarterly target setting for the Growth marketing organization, including channel-level targets and budget allocation driven by a documented planning model Support annual budgeting and in-quarter re-planning with recommendations on investment levels and channel mix Own marketing ROI analysis: calculate and report on cost-per-lead, cost-per-opportunity, CAC by channel, and marketing efficiency ratios Develop segment and region level views of marketing performance to support resource allocation decisions Design and maintain models to quantify the impact of marketing programs across the buyer journey Conduct ad hoc deep dives to diagnose pipeline trends, marketing channel performance, or funnel conversion issues and proactively surface recommendations Executive reporting & Cross-functional Alignment Support the weekly and monthly business review process: prepare data and partner with leadership to build a narrative that converts data into actionable insights Drive alignment on ICP across product marketing, product, sales, and marketing so targeting, messaging, and investment point at the same accounts Scope dashboard needs and partner with the Analytics team to build them out Commercial Pipeline model Own the Growth pipeline model, aligning sourced and influenced contribution across partner, sales, BDR, and marketing Work with Field Ops for Commercial and the BDR org to ensure marketing's pipeline contribution supports the coverage needed to hit the business target Maintain the coverage, conversion, and velocity assumptions the model runs on, and reconcile them with Field Ops and Finance Experimentation and Optimization Analyze marketing experiments (landing pages, email sequences, ad creative, offers) to drive continuous improvement Partner with our Head of PLG Revenue to identify friction in the self serve funnel and recommend interventions Design experiments that help optimize the marketing spend and pipeline ROI Capacity & headcount planning Own capacity and headcount planning for the Growth marketing organization, tying resourcing to targets and coverage requirements Model the trade-offs between headcount, program spend, and pipeline output to inform investment and org decisions Skills We’re Looking For 4 to 7 years of experience in marketing analytics, GTM/marketing strategy, revenue operations analytics, FP&A or business intelligence within a B2B SaaS environment Strong planning and financial-modeling skills: comfortable building target, budget, and pipeline-coverage models from ambiguous inputs Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts Comfortable with SQL, Excel/google sheets and BI/visualization tools like Looker to move quickly through data Working knowledge of Salesforce (reports, dashboards, opportunity data), marketing automation platforms (Marketo preferred), and ad platforms (Demandbase, Google Ads, LinkedIn Ads, chatgpt Ads, etc) Bonus Skills​ Python or R proficiency for statistical analysis, automation, or building lightweight models Experience with multi-touch attribution platforms (Bizible/Marketo) Exposure to experiment design, significance testing, or applied statistics in a marketing context Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker) Background in data infrastructure, developer tools, or analytics software industries #LI-HYBRID #LI-MM1 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. Pay Range $141,162 — $176,452.50 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.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana’s GTM organization is looking for a Director, Strategy & Planning. Reporting to our VP of Revenue Operations, you will work with a cross-functional team of stakeholders to define growth strategies, provide insights to business performance, and set the standard for data- driven decision making in GTM. Success in this role requires deep experience with consumption-based SaaS. You'll understand how customer adoption and usage translate into revenue over time, and use that understanding to guide GTM capacity, productivity, and investment decisions across Sales, SE, CX, SDR, and Partners. This is a hands-on leadership role with ownership of the planning agenda and the models behind it. What you'll be doing: Establish standard reports and tools to analyze business performance, help set operational targets, and drive planning processes with the Go-To-Market Operations team Lead annual and long-range GTM planning, aligning revenue targets with hiring plans, territory coverage, and productivity assumptions Develop revenue and capacity scenarios that account for usage variability, customer adoption, and expansion or contraction across cohorts, segments, and regions. Work with Global and Regional Sales and Services leaders to evaluate strategic opportunities and/or transformational initiatives; New market evaluation, M&A integration, vertical planning, pricing, etc. Become an expert in how our GTM data is captured, how it ties to underlying business processes, and how it impacts key metrics and reports. Identify operational gaps in our reporting capabilities and/or inefficiencies in the planning process. Work with Analytics and Business Systems teams to build scalable solutions. Help create the connective tissue across our internal stakeholders: Revenue Operations, Marketing, Finance, Data, and GTM leadership Build scalable, self-service planning processes that improve consistency and reduce manual coordination across teams. Advise GTM leadership on market segmentation, vertical performance, pricing scenarios, and territory strategy, presenting clear recommendations and tradeoffs. Partner with Finance to align consumption-based revenue scenarios with workforce budgets and financial targets, reviewing performance and recommending adjustments as usage trends change. Set priorities for the planning function and lead cross-functional initiatives with Data and Field Ops to close gaps in reporting and planning infrastructure. Identify and implement AI-assisted approaches to consumption analysis, scenario development, and recurring reporting, partnering with data to validate results and improve planning efficiency. What Makes You a Great Fit: 8+ years in GTM strategy and operations, sales planning, revenue operations, consulting, or a related analytical field, including experience leading a planning function or major cross-functional programs. Demonstrated track record of strategic thinking and analysis--seeing over the horizon to identify opportunities, envision models, and strategic paths to capture opportunities, as well as spot emerging risks Strong modeling and analytical skills – comfort with complex segmentation analysis and workforce planning Excellent communication skills with executive audiences - explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis Experience owning GTM planning through significant ARR and headcount growth at a SaaS company of comparable scale and complexity, including evolving capacity models, coverage strategies, and planning processes as the organization expands. Experience in a Sales or GTM organization, and familiarity with common sales methodologies (MEDDPICC or MEDDIC) and models ( rep productivity, rep capacity, campaign influence, and quota modeling) High comfort with ambiguity. You identify the right priorities and put in the hard work without need for external motivation You think critically and creatively, continually reorienting to obstacles to define a better way to achieve our goals. Bonus Points For: Previous experience in open source Experience with Grafana, Tableau or other analysis/BI tools. Familiarity with Salesforce CPQ, Zuora, or other CPQ / Q2C / subscription management tools. Familiarity with marketing automation (Marketo) or sales productivity tools (Outreach, Clari, People.ai). Familiarity with SQL or similar database querying language (you won’t be deep in SQL, but helps to have heard of a LEFT JOIN). Experience applying generative AI, predictive analytics, or AI-enabled automation to improve GTM planning, forecasting, and reporting, with sound judgment in validating outputs and underlying assumptions. Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $ 230,000 - $275 ,000 Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken. You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved. THE OPPORTUNITY - Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation. - Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind. - Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria. - Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute. - Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action. - Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first. - Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences. - Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next. WHAT YOU BRING - Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch. - Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed. - Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states. - Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design. - Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement. - Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken. You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved.   THE OPPORTUNITY - Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation. - Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind. - Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria. - Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute. - Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action. - Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first. - Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences. - Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next.   WHAT YOU BRING - Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch. - Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed. - Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states. - Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design. - Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement. - Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Resolve employee tickets through our help desk, leveraging AI powered support tooling to triage, troubleshoot, and close issues efficiently. Make our AI powered tooling even better by documenting common issues, fixes, and processes to build out our internal knowledge base.

Зарплата не указана

Location: Denver, Colorado, United States, AMER 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 Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role The Growth Marketing Strategy and Planning Manager sits at the intersection of B2B marketing strategy and performance analytics. You sit within GTM Strategy & Planning and act as the right hand to the VP of Growth - helping the team decide where to spend their next dollar, setting marketing-level targets in partnership with Finance, and making recommendations of how to maximize the revenue yield from demand. The marketing team you’ll be supporting owns the digital/technical marketing channels that are heavily reliant on data-driven decisions and insights. The team’s outcomes support both the sales-led business and our PLG motion, and we make decisions around lead routing between the two businesses so that we maximize revenue yield. This is a high visibility role with direct exposure to marketing leadership. We're looking for someone who brings structure to ambiguity, has the business judgment to challenge assumptions, and can move fast without sacrificing rigor. You translate performance data into investment decisions and defend those decisions to senior stakeholders. This is a full-time position based out of our Oakland, Denver, Austin, or New York City offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including one to two days in the office each week to connect and build as a team. What You’ll Do Target Setting and Impact Measurement Own annual and quarterly target setting for the Growth marketing organization, including channel-level targets and budget allocation driven by a documented planning model Support annual budgeting and in-quarter re-planning with recommendations on investment levels and channel mix Own marketing ROI analysis: calculate and report on cost-per-lead, cost-per-opportunity, CAC by channel, and marketing efficiency ratios Develop segment and region level views of marketing performance to support resource allocation decisions Design and maintain models to quantify the impact of marketing programs across the buyer journey Conduct ad hoc deep dives to diagnose pipeline trends, marketing channel performance, or funnel conversion issues and proactively surface recommendations Executive reporting & Cross-functional Alignment Support the weekly and monthly business review process: prepare data and partner with leadership to build a narrative that converts data into actionable insights Drive alignment on ICP across product marketing, product, sales, and marketing so targeting, messaging, and investment point at the same accounts Scope dashboard needs and partner with the Analytics team to build them out Commercial Pipeline model Own the Growth pipeline model, aligning sourced and influenced contribution across partner, sales, BDR, and marketing Work with Field Ops for Commercial and the BDR org to ensure marketing's pipeline contribution supports the coverage needed to hit the business target Maintain the coverage, conversion, and velocity assumptions the model runs on, and reconcile them with Field Ops and Finance Experimentation and Optimization Analyze marketing experiments (landing pages, email sequences, ad creative, offers) to drive continuous improvement Partner with our Head of PLG Revenue to identify friction in the self serve funnel and recommend interventions Design experiments that help optimize the marketing spend and pipeline ROI Capacity & headcount planning Own capacity and headcount planning for the Growth marketing organization, tying resourcing to targets and coverage requirements Model the trade-offs between headcount, program spend, and pipeline output to inform investment and org decisions Skills We’re Looking For 4 to 7 years of experience in marketing analytics, GTM/marketing strategy, revenue operations analytics, FP&A or business intelligence within a B2B SaaS environment Strong planning and financial-modeling skills: comfortable building target, budget, and pipeline-coverage models from ambiguous inputs Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts Comfortable with SQL, Excel/google sheets and BI/visualization tools like Looker to move quickly through data Working knowledge of Salesforce (reports, dashboards, opportunity data), marketing automation platforms (Marketo preferred), and ad platforms (Demandbase, Google Ads, LinkedIn Ads, chatgpt Ads, etc) Bonus Skills​ Python or R proficiency for statistical analysis, automation, or building lightweight models Experience with multi-touch attribution platforms (Bizible/Marketo) Exposure to experiment design, significance testing, or applied statistics in a marketing context Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker) Background in data infrastructure, developer tools, or analytics software industries #LI-HYBRID #LI-MM1 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. Denver Pay Range $141,162 — $176,452.50 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.

Location: Remote - US Staff Engineer About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the role Staff scope at LaunchDarkly is defined by impact rather than title alone. The specific domain may include platform infrastructure, APIs, SDKs, data systems, observability, experimentation, feature management, or AI/agent capabilities. As a Staff Engineer at LaunchDarkly, you will provide technical leadership beyond a single team. You will help define direction for important systems or product areas, guide complex initiatives, and create leverage by enabling other engineers to make better decisions and deliver with confidence. Staff Engineers at LaunchDarkly are trusted for their judgment, influence, and ability to connect customer needs, business goals, product strategy, and technical execution. You may lead architecture across multiple teams, establish durable patterns, improve developer effectiveness, or help the organization navigate a significant change in technology or product direction. This is an individual contributor role. You will lead through expertise, communication, and influence rather than through direct people management. What you’ll do Set technical direction for complex, high-impact systems, products, or cross-team initiatives. Lead architecture and design work that improves scalability, performance, reliability, security, operability, and developer experience. Clarify ambiguous problems, identify the highest-leverage opportunities, and help teams make timely, well-informed decisions. Partner with Product, Design, Engineering Managers, and senior leaders to connect technical investments to customer and business outcomes. Influence teams outside your immediate area through strong technical proposals, inclusive decision-making, and clear communication. Improve engineering effectiveness through reusable patterns, paved paths, documentation, mentoring, and thoughtful process improvements. Contribute directly to critical projects when hands-on technical work is the best way to create leverage. Represent customer needs and production realities in technical and product discussions. Develop other engineers through mentorship, feedback, and opportunities to grow their scope. Qualifications This level of expertise is typically found in engineers with 10+ years of relevant industry experience. Deep understanding of event-driven architectures, streaming protocols (e.g., Server-Sent Events, WebSockets), and stateful connection management at scale. Expertise in Go, Java, Rust or similar systems programming languages. (We use Go and a little bit of Rust.) Significant experience delivering and operating production software, including systems or products with meaningful scale, complexity, or reliability requirements. Demonstrated technical leadership across team or organizational boundaries, without relying on formal authority. Experience making architecture and design decisions for complex systems and communicating the tradeoffs clearly. A track record of turning ambiguous, high-impact problems into aligned plans and shipped outcomes. Strong understanding of software quality, observability, operational health, security, and sustainable delivery practices. Ability to balance long-term technical direction with pragmatic, incremental execution. A collaborative leadership style grounded in curiosity, inclusion, clear communication, and respect for different perspectives. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,0202** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote - US Senior Backend Engineer About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the role We have multiple backend engineering roles open on various teams. The specific level, scope, and technical focus will be aligned to the opportunity and the candidate’s experience. Experience with cloud platforms, distributed systems, developer tools, SDK engineering, data infrastructure, observability, or AI/agent systems may be relevant for some teams. Candidates may be considered for opportunities across product engineering, core engineering, feature management, observability, experimentation, data platform, cloud infrastructure, SDKs, and AI/agent product areas, depending on experience, interests, and business need. As a Senior Backend Engineer at LaunchDarkly, you will design, build, and operate the services that power reliable software delivery for our customers. You may work on APIs, distributed systems, configuration and event pipelines, data services, SDK-related infrastructure, platform capabilities, or backend systems supporting our product experiences. You will take ownership of complex, high-impact work from problem definition through production and iteration. You will partner with Product, Design, Staff Engineers, Engineering Managers, and adjacent teams to turn customer and business needs into simple, scalable solutions. Your work will influence technical direction within your team and, where appropriate, across team boundaries. What you’ll do Lead the design and delivery of large or ambiguous backend projects, breaking them into clear milestones and creating alignment with partners. Design, implement, test, and operate production services and APIs that are scalable, secure, observable, and maintainable. Make and communicate thoughtful tradeoffs across scalability, performance, reliability, security, maintainability, cost, and delivery speed. Identify architectural risks, performance bottlenecks, operational gaps, and sources of technical friction; then drive durable improvements. Improve the observability and operability of the systems you own, including metrics, logs, traces, alerting, service-level objectives, and incident follow-through. Collaborate with Product, Design, Support, Customer Success, and other engineering teams to understand needs and deliver measurable customer outcomes. Influence technical direction through design documents, architecture discussions, code reviews, and clear written and verbal communication. Mentor engineers, raise the quality of technical decision-making, and contribute to a culture of inclusive collaboration and continuous improvement. Participate in production support and incident response with calm ownership, turning operational lessons into lasting improvements. Help evolve engineering practices, reusable patterns, and developer experiences that make other teams more effective. Qualifications 7+ years of experience building and operating production software, with a track record of delivering meaningful customer or business impact. Strong software engineering fundamentals, including data structures, algorithms, testing, debugging, API design, and distributed-systems concepts. Deep experience with a backend language such as Go, Python, Rust, or an equivalent language. (Most of our teams use Go) Experience designing systems that must remain reliable, observable, secure, and maintainable as usage, complexity, and team ownership grow. Demonstrated ability to lead technical projects with ambiguous requirements, multiple stakeholders, or cross-team dependencies. Sound judgment when evaluating architecture, technology choices, operational risk, and short- versus long-term tradeoffs. Ability to explain complex technical decisions clearly and build alignment with technical and non-technical partners. Experience mentoring engineers and strengthening team practices through feedback, documentation, pairing, or technical leadership. A strong sense of ownership for production outcomes and downstream customer impact. Comfort learning unfamiliar systems and navigating changing priorities with curiosity and a collaborative mindset. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270* Zone 3: All other US locations - $ 163,000 - $224,070 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote - US Backend Engineer About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the role We have multiple backend engineering roles open on various teams. The specific level, scope, and technical focus will be aligned to the opportunity and the candidate’s experience. Experience with cloud platforms, distributed systems, developer tools, SDK engineering, data infrastructure, observability, or AI/agent systems may be relevant for some teams. As a Backend Engineer at LaunchDarkly, you will design, build, and operate the services that power reliable software delivery for our customers. You may work on APIs, distributed systems, configuration and event pipelines, data services, SDK-related infrastructure, platform capabilities, or backend systems supporting our product experiences. You will work with experienced engineers, Product, Design, and partner teams to turn customer and business needs into simple, scalable solutions. You will have the opportunity to own work from early design through production, learn from real customer impact, and contribute to systems that operate at meaningful scale. What you’ll do Design, implement, test, and operate production services and APIs. Lead projects or meaningful components of projects from problem definition through deployment and iteration. Make thoughtful tradeoffs across scalability, performance, reliability, security, maintainability, and delivery speed. Improve the observability and operability of the systems you own, including metrics, logs, traces, alerting, and incident learnings. Collaborate with Product, Design, Support, Customer Success, and other engineering teams to understand needs and deliver useful outcomes. Participate in technical design discussions and code reviews, sharing constructive feedback and learning from teammates. Investigate production issues calmly and help turn operational lessons into lasting improvements. Contribute to a culture of inclusive collaboration, continuous improvement, and high-quality engineering. Qualifications 5+ years of experience building and operating production software in a professional environment, or equivalent demonstrable experience. Strong software engineering fundamentals, including data structures, algorithms, testing, debugging, and API design. Experience with a backend language such as Go, Python, Rust, or an equivalent language. (Most of our teams use Go) Experience designing or contributing to services that need to be reliable, observable, and maintainable as usage grows. Ability to explain technical decisions and tradeoffs clearly to both technical and non-technical partners. A collaborative approach and a sense of ownership for both your work and its downstream customer impact. Comfort learning unfamiliar systems and working through ambiguous problems. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $ 145,500 - $200,090 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Задачи: — Разработать CRM-стратегию для ключевых сегментов B2B- и B2C-аудитории. — Провести аудит текущих коммуникаций, данных, сегментов и клиентских сценариев. — Спроектировать триггерный онбординг и автоматические цепочки на разных этапах жизненного цикла. — Помогать B2B-клиентам осваивать возможности продукта, повышать adoption функций и находить новые сценарии использования YCLIENTS. — Развивать омниканальные коммуникации в email, Telegram, MAX, web- и mobile-интерфейсах. — Сегментировать аудиторию и подбирать для каждого сегмента релевантные сообщения, офферы, каналы и частоту контактов. — Формировать коммуникационную политику: приоритеты, контактные правила, частотные ограничения и логику пересечения кампаний. — Вместе с аналитиками оценивать влияние коммуникаций на activation, adoption, conversion, retention, churn и LTV. — Быстро запускать пилоты, проверять гипотезы и масштабировать работающие сценарии. — Совместно с продуктом, аналитикой и разработкой улучшать данные, события и инструменты, необходимые для персонализированных коммуникаций. Требования: — Опыт в CRM-, lifecycle- или retention-маркетинге от трёх лет. — Практический опыт работы с B2B SaaS, подписочными продуктами, trial-воронками или PLG/self-service-моделями. — Уверенное владение CRM- или marketing automation-платформами: Mindbox, Customer.io, Braze, Carrot quest, Encharge или аналогами. — Умение самостоятельно проектировать сегменты, триггеры, сценарии и логику автоматических цепочек. — Понимание продуктовых метрик: Activation Rate, Trial-to-Paid, Adoption, Retention, Churn, ARPU и LTV. — Опыт работы с Amplitude, Mixpanel, PostHog или другими системами продуктовой аналитики. — Понимание событийной модели данных: events, properties, user profiles, cohorts. — Умение оценивать влияние коммуникаций на продуктовое поведение и бизнес-результат. — Умение писать коротко, понятно и без корпоративного канцелярита. — Умение работать с дизайнером: формулировать идею, ставить задачу и оценивать, насколько креатив решает бизнес-задачу. — Готовность быстро прототипировать, проверять гипотезы и принимать решения на основании данных. — Опыт настройки Telegram-ботов, WhatsApp Business API и других мессенджерных каналов будет преимуществом. Условия: — Прозрачная и конкурентная зарплата, трудоустройство по ТК РФ. — Гибридный график работы. — Техника для работы. — ДМС после испытательного срока. — Поддержка в трудных ситуациях. — Корпоративные скидки BestBenefits. — Отсутствие дресс-кода и иерархий, доверительная атмосфера в команде.

Зарплата не указана

Location: Remote - US West About the Job: We are looking for a talented Senior Solutions Engineer at LaunchDarkly,  you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-facing role. Experience in areas such as the SDLC, cloud architecture, or DevOps. Extensive knowledge of cloud platforms, expertise in at least one (e.g., AWS, Azure  & Google Cloud). Demonstrated excellence in leading & documenting a proof of concept and building technical & deal champions. Excellent communication and presentation skills. Demonstrated history of presenting thought leadership to the broader industry. Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). Experience with security and compliance frameworks PII, PCI, HIPAA, is a bonus Specific Requirements: 50% travel required Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $145,500 - $200,090 * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

We're hiring a SaaS Revenue & Financial Analyst who will own the measurement layer of our entire business. You will be the person who knows every number — ARR, net retention, expansion, churn, pipeline conversion, cost of acquisition, gross margin by product line, services margin, cash flow, and everything in between.

Зарплата не указана

✔Отчетность по эффективности User Acquisition: анализ расходов, CPA, ROAS, воронки от клика до FTD с разбивкой по каналам, кампаниям, географиям и партнерам. ✔Сверка данных между рекламными кабинетами, AppsFlyer и корпоративным хранилищем данных, выявление и расследование расхождений.

Зарплата не указана

Location: Hybrid - EMEA About the Job: We are looking for a talented Senior Solutions Engineer at LaunchDarkly,  you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-facing role. Experience in areas such as the SDLC, cloud architecture, or DevOps. Extensive knowledge of cloud platforms, expertise in at least one (e.g., AWS, Azure  & Google Cloud). Demonstrated excellence in leading & documenting a proof of concept and building technical & deal champions. Excellent communication and presentation skills. Demonstrated history of presenting thought leadership to the broader industry. Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). Experience with security and compliance frameworks PII, PCI, HIPAA, is a bonus Travel & On-Site Engagement: Up to 35% travel, primarily across EMEA, for customer workshops, deal closings, and industry events About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote - US About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, the team responsible for the foundational infrastructure our products and engineering teams depend on. Cloud Engineering owns LaunchDarkly’s AWS accounts and networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. The team is small, senior, and recently rebuilt. This is a frontline leadership role for a manager who treats operational health as a top priority, leads calmly through incidents, and creates leverage through software, automation, and reliable paved paths. In your first year, you’ll lead a marquee infrastructure insourcing program from planning through completion. The program’s cost savings will help fund additional team growth, giving you the opportunity to deliver meaningful business impact while strengthening the infrastructure behind LaunchDarkly’s next stage of scale. This role combines people leadership, operational ownership, and technical judgment. You do not need to be the most senior individual contributor in the room, but you should be comfortable partnering with experienced engineers, guiding tradeoffs, and creating an environment where the team can do its best work. Responsibilities: Lead and develop a senior Cloud Engineering team, providing clear expectations, coaching, feedback, performance management, and career-development support. Own the operational health of LaunchDarkly’s cloud infrastructure, including incident response, on-call health, service-level objectives, resilience, and disaster recovery. Launch and deliver a multi-quarter infrastructure insourcing program, including sequencing work, managing dependencies, communicating milestones, and ensuring a successful transition. Guide technical priorities and tradeoffs across AWS infrastructure, networking, multi-region Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure. Build leverage through software, automation, and paved paths that help product engineering teams use infrastructure safely and independently. Support migrations by providing guidance, patterns, and enablement while maintaining clear ownership boundaries with partner teams. Establish team norms for effective AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation. Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment. Partner with Service Frameworks, Core Platform, Revenue Platform, Data Platform, and product engineering teams on shared infrastructure priorities and cross-team dependencies. Communicate roadmaps, operational risks, investment needs, and progress clearly to engineering leadership and cross-functional stakeholders. Participate in hiring and team planning as the organization grows. Qualifications: 2+ years of experience managing an infrastructure, platform engineering, or site reliability engineering team at a product company, including people management of an on-call team. Demonstrated ownership of incident response, on-call health, and service-level objective frameworks for critical production systems. Experience leading at least one multi-quarter infrastructure migration or insourcing program from planning through completion. Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices, with the judgment to guide discussions and tradeoffs with senior engineers. Experience taking over an established team and maintaining engagement, performance, and retention through a leadership transition. A clear point of view on team norms and practices for AI-assisted engineering. Strong written and verbal communication skills, with the ability to explain technical and operational priorities to a range of audiences. A thoughtful, calm, and accountable leadership approach, particularly during incidents and periods of change. Nice to Haves Experience with vendor negotiations or cloud cost management. Experience supporting FedRAMP or other compliance-related infrastructure and operations. Experience operating large-scale datastores or OLAP systems. Experience growing a team through funded expansion. Pay: Target pay ranges based on Geographic Zones* for Level M2: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $163,000 - $224,070** All Zones Inclusive of a 10% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .