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Outreach, founded in 2014, is the only complete platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.

About the Team

The mission of the Email & Calendar Services team is to deliver the microservice constellation to support Outreach's email and calendar experience all the way through. From the compose to smart scheduling, send, telemetry and sync back to platform. Our team is processing literally millions of emails every day.

The team focuses on building reliable and performant services that connect Outreach to Customers’ email providers to send, sync and analyze email and calendar communication. This enables our customers to communicate and turns the millions of emails sent into valuable insights to help progress deals forward efficiently and effectively.

The team also supports the Email and Calendar Experiences team to provide ways to create, manage and organize content used in communications.

The Role

We are looking to grow the existing team by one more experienced back-end software engineer to join us; you would deep-dive on challenging technical problems, build scalable solutions and identify performance bottlenecks, iterate quickly and deliver incremental value and thrive in a collaborative team environment.

Your engagement would usually start with requirements clarification with the product manager or our partners. You will have the opportunity to put the best of your ideas to the design and prove your coding skills in actual implementation.

We primarily use micro-services written in GO on the back-end. However, we have legacy code in Ruby on Rails and you might encounter TypeScript too. We have data stores built on MySQL, PostgreSQL and various NoSQL databases like AWS DynamoDB. We are transitioning our data loading layer to use GraphQL.

Location

While we are remote-friendly, we remain an "office-centric" company. This role is categorized as hybrid and it is expected you live in a reasonable proximity to the office in Prague so you would be able to connect with your team on weekly regular basis, attend in-person meetings and company events.

This is a full-time, permanent role, not eligible for contractors and for work from other countries.

#LI-RG1

NOTE:

The offer is contingent upon successfully passing the background screening process.

Listed by Outreach.io for a position based in the United States. Employers on this board attest they are hiring domestically.

Artificial Intelligence (AI)

76 days ago

Global Account Director

SuperAnnotate · San Francisco, CA, USA

Pay

$350k–450k

Setting

On-site

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About SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. The Impact You'll Make We are looking for an experienced, driven and enthusiastic Global Account Director who can guide our prospects and customers through their buying journey with SuperAnnotate. You will be working directly with the sales management and founding team daily, and be expected to have a critical impact on the organization and on its revenue. It will be critical for this candidate to be someone who has an entrepreneurial mindset, thinks strategically, wants to build as much as sell, can prospect as well as close deals, and is willing to get his/her hands dirty. This is a full-time, hybrid position based in San Francisco. What You'll Do Develop pipeline using demand generation, prospecting tools, professional networking, and enterprise selling methodology Build account plans and manage a territory of target enterprises training and deploying frontier AI models Explore & identify new opportunities in new accounts and expansion of existing accounts, including new use cases, data types, and modalities within current customers Research and present business intelligence about customers' and prospects' model development roadmaps, data needs, and where human data services fit into their pipeline Scope and shape services engagements, including specialized labeling workforces, data pipelines, and project structures aligned to customer model needs Help develop and continuously improve our prospecting and selling motions Own deals from prospect to close, and maintain relationship with delivery/customer success through renewals and expansions What You'll Bring 5+ years of experience selling and generating demand for enterprise services, with strong preference for candidates who have sold data services, managed services, or professional services into AI/ML buyers Experience and relationships selling to executives and teams training frontier AI models at organizations such as Google, Microsoft, OpenAI, Anthropic, Apple, Meta, etc. Previous experience selling into AI/ML, data labeling, data annotation, RLHF, or related human-data services required Comfort selling complex, high-touch services deals where pricing, scope, and delivery model are negotiated and customized per account, rather than a standard licensing motion High business acumen and ability to sell technology and business value to all levels of an organization including individual contributors, mid-level management, and C-level executives Experience with MEDDICC and enterprise selling methodologies such as Command of the Message Consistent track record of exceeding quota Strong ability to succeed in multi-channel pipeline generation including inbound discovery calls, outbound prospecting, working with SDRs and working with partners Comfortable with ambiguity, creative, and incredibly resourceful Self-starter and independent worker, ambitious and takes initiative An attentive listener, quick study, and skilled influencer Strong customer presence, with polish and dedication to customer outcomes Ability to travel occasionally to meet customers and attend industry events What We Offer Attractive base salary with significant stock options offering an ownership stake in the company's success Comprehensive health, dental, and vision insurance plans 401(k) retirement plan Flexible paid time off, holidays, and parental leave policies Opportunity to shape the future of a cutting-edge technology company Access to ongoing training and professional development opportunities Referral Program Only shortlisted candidates will be contacted for an interview! Equal Opportunity We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more. 350000 - 450000 USD a year Compensation range is total on-target earnings (OTE), which includes base salary and variable commission.

Listed by SuperAnnotate for a position based in the United States. Employers on this board attest they are hiring domestically.

Artificial Intelligence (AI)

76 days ago

Strategic Projects Lead (Technical)

SuperAnnotate · San Francisco, CA, USA

Pay

$140k–210k

Setting

On-site

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About SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. The Impact You'll Make We’re looking for a skilled, technical operator who can take full ownership of our most complex, high-value client engagements. As a Strategic Projects Lead, you’ll run the end-to-end delivery of SuperAnnotate’s largest LLM and Gen AI data programs. This includes everything from scoping data collection workflows with key clients, acting as a trusted resource to researchers, diagnosing data quality issues, and reallocating resources under a tight deadline. The role touches everything: strategy, execution, client relationships, team development, and process design. You’ll work directly with researchers, data teams, and other key stakeholders at some of the most advanced AI organizations in the world. You'll be trusted to represent SuperAnnotate at the highest level, including on technical tradeoffs, and to grow those relationships through execution and management excellence. You don't need to be building models, but you do need to be technical enough to understand how they're trained, evaluated, and improved. That means hands-on comfort with data, code, and pipelines, and the ability to engage credibly with client engineering and research teams on LLM data challenges and evaluation approaches. This is a full-time, hybrid position based in San Francisco. What You'll Do Own project delivery end-to-end: Lead LLM and Gen AI data engagements from initial scoping through final delivery - including use case definition, resource planning, quality oversight, and client sign-off. The project succeeds or fails on your watch. Be the client’s main point of contact: Build and maintain trusted relationships with key stakeholders. Bring transparency, good judgment, and a solutions orientation to every interaction. Drive operational discipline across workstreams: Manage timelines, staffing plans, and delivery quality across multiple concurrent projects. Catch problems before they become crises and fix them before they reach the client. Design and build the systems that make delivery possible: Architect data pipelines, quality frameworks, and review infrastructure that let your team execute at scale. Instrument the right KPIs, catch regressions early, and continuously refine processes as program needs evolve. Lead and develop your team: Recruit, mentor, and performance-manage the operations and subject matter experts. Set the bar, support the people, and build toward a team that can scale. Identify scope expansion opportunities: Partner with Go-to-Market to turn strong delivery into expanded engagements. Understand your clients’ broader AI data challenges well enough to propose what’s next. Keep leadership and clients informed: Develop reporting cadences and executive briefings that give an honest, clear picture of project health, risks, and outcomes. What You'll Bring 4+ years of experience running complex technical projects or operations in client-facing roles, with at least some of that time in a high-growth startup environment. A track record of owning outcomes: You’ve managed cross-functional workstreams with real accountability - and you can point to what you delivered and how. Coding ability and analytical depth: You have solid coding skills (Python, SQL, or similar) alongside depth in machine learning, statistics, or data science. Strong senior stakeholder communication: You’re comfortable in a room with a CTO or VP and can represent a complex project clearly, confidently, and honestly. Sharp operational problem-solving: You diagnose issues structurally, propose solutions with clear tradeoffs, and move quickly from analysis to action. Financial and resource fluency: You understand project margins, can build resource plans, and think about the business impact of operational decisions. A working knowledge of the Gen AI landscape: Familiarity with how LLMs are trained and evaluated, and what drives data quality at each stage, so you can guide your team’s approach and speak knowledgeably with client research teams. Bachelor's degree or higher in Statistics, Data Science, Machine Learning, Computer Science, Mathematics, Engineering, or a related quantitative field. CS, Math, and Engineering degrees should include meaningful ML or applied data science exposure. Nice to Have Experience building or managing large distributed contributor or expert workforces. Background in management consulting, investment banking, or data-intensive technical services. MBA or equivalent advanced degree. Why SuperAnnotate This role sits at the center of what SuperAnnotate does and what the AI industry needs most right now. You’ll work on problems that matter, with clients who are building the systems that will define the next decade of AI. You’ll have real ownership, real visibility, and a direct line to leadership. Only shortlisted candidates will be contacted for an interview! Equal Opportunity We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more. 140000 - 210000 USD a year In addition to the annual base salary, employees are eligible for an annual bonus paid out quarterly.

Listed by SuperAnnotate for a position based in the United States. Employers on this board attest they are hiring domestically.

Sales

76 days ago

Senior Partner Development Manager

Mixpanel · Denver, US (Remote)

Pay

$190k–256k

Setting

Remote

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Back to jobs Senior Partner Development Manager Denver, US (Remote) Apply About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com. About the Team The Strategic Alliances team is small, fast, and outcome-oriented - not a program or account mapping factory. We spearhead the identification, investigation, development and execution of initiatives & partnerships aimed at moving the needle for some of Mixpanel’s most strategic levers. As Mixpanel continues its evolution, this team is at the forefront of defining our new ecosystem realities and opportunities, particularly within the emerging spaces in, and enabled by, AI. LLM’s, Vibecoders and MCP Servers and their adjacencies are our workspace. About the Role You'll own a portfolio of partner opportunities and sourcing of structural deals — embedded distribution, revenue share, API embedding, committed co-sell — with the companies defining how AI-native software gets built and distributed (think Snowflake, Stripe, Anthropic, Google, Glean and Replit) and target new relationships, owning first conversation through execution. You’ll also provide due diligence support for in-flight opportunities. You need to be comfortable with ambiguity and have the ability to translate company priorities into a set of actionable and achievable partnerships. You will work closely with stakeholders and senior leadership across Product & Engineering, Marketing, Channel and Sales teams to ensure tight alignment and smooth execution - to be successful, you will need a track record of this collaboration with quantifiable outcomes. Responsibilities End-to-end ownership of a set of strategic partnerships with LLMs, Hyperscalers, AI developer tools, data platforms and niche providers who can fill product gaps. Market analysis and due diligence, with emphasis on quantitative support for new partnerships and market entries. Deal structuring and negotiation: term sheets, rev share, data licensing, API embedding, pipeline and revenue commitments Expand and elevate Mixpanel exposure within our newest strategic partners; driving alignment up to, and including, C-level relationships Work closely with Channel & Enablement teams seamless handoffs, as needed, around GTM execution: co-sell motions, joint pipeline, co-marketing in service of revenue or branding Inbound partner management — screen fast, route correctly, don't let it become a distraction Own the room with cross-functional stakeholders including Product, Engineering, Sales, and Legal to close and activate partnerships Design and execute unique playbooks with partners with aligned, committed outcomes; not a rinse and repeat of collateral creation, account mapping and team socialization Collaborate with marketing & demand gen teams to launch partnerships and campaigns designed to spread awareness and drive pipeline Define and evangelize the value proposition with partners; what are we doing together, why and who should care; Product Marketing is there for support, but this is yours to own. We’re Looking for Someone with 8+ years of professional experience with minimum of 5+ in strategic technology partnerships, alliances, or corp dev; ideally at a hyperscaler, high-growth SaaS, or with a consulting/banking background before going operator Track record of having closed deals with real structure: you've negotiated terms, not just managed relationships Fluency in the modern data stack (Snowflake, Databricks, BigQuery, Supabase) and the AI developer ecosystem (LLM platforms, agentics frameworks, vibe-coding tools, MCP Servers) Technically fluent enough to hold a credible conversation with a CPO or platform team; commercial enough to close; your job is not to set meetings Innate sense of urgency and prioritization; fast qualification, clear POV, no committee thinking Exceptional communication skills; creates executive-level deliverables that are outcome-first, data-backed, decision-ready Hands-on experience with AI; you’ve moved beyond chat interfaces and built something, shipped something, or broken something trying. You understand what developers actually experience when they evaluate a platform, and you can hold a credible technical conversation because of it, not despite your role. Ability to operate and create structure within ambiguity; our scope of impact is broad and strategic - you need to be able to translate company goals into executable initiatives and be able to clearly articulate that connection; you won’t have a quota and systems to execute against Exceptional cross-functional leadership and the ability to command the room and drive alignment across Product, Engineering, Sales/GTM, Legal, and Channel organizations. Strong executive presence, negotiation capability, and comfort operating in fast-moving, ambiguous environments. Bonus Points For MBA or other advanced business degree, JD or engineering degree. Previous experience in management or strategy consulting. Experience partnering with Snowflake, Databricks or GCP, Anthropic and others across the AI space. Hands-on experience with Mixpanel; able to connect the dots on partner opportunities Sold or partnered in a product-led growth context Built or shipped an integration — you know what it actually takes #LI-Remote Compensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here. Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information. Mixpanel Compensation Range $189,500 - $256,500 USD Benefits and Perks Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break *please note that benefits and perks for contract positions will vary* Culture Values Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. Why choose Mixpanel? We’re a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. 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Listed by Mixpanel for a position based in the United States. Employers on this board attest they are hiring domestically.

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