Enterprise Account Executive Managed Solutions 3 Jobs

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role As a Senior Data Solutions Consultant, you will lead some of Addepar’s complex and high-touch client data implementation projects. You’ll design scalable solutions to transform and integrate clients’ portfolio data into Addepar, consult with clients on sophisticated investment data challenges, and serve as a subject-matter expert across both technical and business domains. You’ll also be among the first members of the Data Solutions team based in India , helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the opportunity to shape our operating model locally and strengthen how our global teams deliver together. Beyond client delivery, you’ll also drive internal innovation; developing automation, tooling, and best practices that enable scale and elevate how we operate globally. This is a senior individual contributor position for someone who thrives at the intersection of finance, data, and technology, and is excited to make a global impact from India. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Lead, Data Validation Specialist to oversee a team of Data Validation Specialists responsible for ensuring the accuracy and integrity of financial data during new client onboarding. You’ll manage daily workflows, ensure consistent data quality across projects, and serve as the primary liaison between the Data Validations team and cross-functional partners. This is primarily a non-client-facing role that plays a key part behind the scenes, requiring focus, consistency, and comfort with repetitive work. It’s a great fit for someone who enjoys working with data in a structured way and takes pride in getting the details right. You’ll be instrumental in fostering a collaborative team culture, driving consistency in our data conversions, and contributing to the growth of both your team and our global function. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position What You’ll Do Lead and mentor a team of Data Validation Specialists, supporting career development, delivering regular feedback, and helping individuals thrive in their role Manage a team’s work allocation, prioritization, and exe

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role An ADM Solutions Consultant is responsible for facilitating the onboarding and implementation process for Addepar ADM (Alternatives Data Management). In this role you will work directly with Addepar clients guiding them through the process of onboarding alternatives data through the ADM solution. Your responsibilities will include leading ADM projects through client management, project management, solution design (where applicable), etc. Additionally, you will be responsible for ensuring the ADM solution is compatible with a client's existing Addepar solution and if not develop the necessary plan to solve for any gaps. The ideal candidate has relevant experience in a related financial domain as well as consulting, project management and technology. An ADM Solutions Consultant is expected to display a strong sense of self-reliance, leadership qualities as well as the ability to collaborate with other Addepar teams including our Data, Product, Client Management, and Sales teams. They must possess a deep understanding of our target markets and the clients we serve. They are passionate about understanding our clients needs, take a hands-on approach to solving problems, work collaboratively with internal teams and take ownership of our clie

Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. AS A SENIOR SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL: Develop business relationships and integrate activities with other ET departments to ensure successful implementation and support of project efforts Work with local department managers to analyze and resolve technical issues, and recommend solutions for changing needs Provide global support by managing tickets within our ET Service Management Ticketing System (ServiceNow), including knowing when to escalate priority issues Follow standard operating procedures and quickly redirect problems to the appropriate resources when needed Develop, document, and implement standard operating procedures and customer service guidelines for remote ET support, and pass them down to the Level 1 help desk Actively participate as a global ET member and contribute to global projects Provide local A/V and video collaboration (Zoom) support Prepare the office for new product or service releases and stay at the forefront of emerging industry practices, ensuring compliance with IT security and general controls Maintain local inventory accuracy and coordinate equipment Prepare new hire hardware for deployment Run weekly new hire orientation Troubleshoot client-side network connectivity issues OUR IDEAL SENIOR SUPPORT ENGINEER WILL HAVE: 5+ years

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an Insider Risk Security Engineer to join our team. This is a Remote (United States) role, reporting to the Senior Architect in the Enterprise Security Dept department. Serving as a senior contributor on the Insider Risk program within Enterprise Security, you will take operational direction from the Insider Risk Team Lead while operating with high ownership to refine playbooks, lead detection engineering, mentor junior analysts, and represent the team with HR, Legal, and executive stakeholders. What you’ll do (Role Expectations) Sharpen the Insider Risk Program’s detection capabilities by refining rules to reduce noise, close coverage gaps, and surface high-fidelity alerts in adequate time Perform endpoint and user activity investigations using EDR/XDR, UEBA, and SIEM tools, managing cases end-to-end to create factual timelines Drive the development and iteration of insider Risk investigation playbo

About the Team The DoorDash Enterprise Retail team manages the strategic vision, acquisition, and development of retail partnerships in North America. This team sits within the New Verticals Business Development organization. We support our merchant’s broader e-commerce strategy, helping them find new ways to acquire, engage with and retain customers. We also love to help our partners solve their operational issues at the lowest level of detail; no job is too big or too small. About the Role The Retail Partnerships Senior Associate will help steer the company's effort to adopt and partner with retailers and CPGs at all levels of the sector. eCommerce is expanding, and DoorDash is making meaningful strides to become a leader in this sector. You will report to a Sr. Manager, Retail Partnerships. We expect this role to be flexible in terms of time spent remote, in-office, and traveling to visit merchant partners. You’re excited about this opportunity because you will… Driving and leading on strategic growth initiatives for your Mx portfolio Working with internal product teams to ensure we’re prioritizing the right features for our merchants, dashers & customers Project managing the rolling out hundreds of stores across the country Designing marketing and promotional campaigns for new, returning or churned customers Getting into the field to do a test delivery Gathering insights on consumer behavior and shopping patterns Leading special projects to drive operational efficiency for your partners We’re excited about you because… You’re Impact Motivated -- You have a natural desire to improve the overall business You’re Curious -- You love digging into low levels of detail to extract insights You’re Strategic -- You love to find the win-win in develop novel agreement structures to grow business with partners You’re Resourceful -- You are happy juggling many priorities concurrently and being creative with solutions to move fast You’re Collaborative - Y

Omada Health is on a mission to bend the curve of chronic disease. Job overview: Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change. We’re looking for a software engineer to join our Solutions Engineering Team. Our primary function is to understand customer challenges, design tailored technical solutions using Omada's products and systems, and demonstrate the value and feasibility of those solutions. Your Impact: Build to eliminate the toil. Design, build, and ship home-grown and integrated tooling that removes repetitive, manual work — file processing, migrations, eligibility/contracting/billing edge cases, and the “papercuts” that slow the team down. You’ll own enhancements and moderate-complexity features within our automations and integrations, partnering with commercial, product, and engineering stakeholders along the way. For work that requires deep architectural change or spans many systems, you’ll work alongside the senior engineers and system owners driving that design. See the pain, then help fix it. Sit close enough to implementations and escalations to understand root causes, and contribute to root-cause investigations — flagging when a fix should prevent the fire rather than just put it out. Build with reuse in mind. Use and extend the team’s existing templates, standards, and automation rather than defaulting to one-off customization. Use AI to move faster. Use AI-assisted development and modern automation in your day-to-day work to deliver solutions more quickly. Grow your craft. Pair with more senior engineers to build proficiency across SET’s varied stack, and treat feedback on scope, design, and code quality as a core part of how you improve. Participate in our on-call rotation; triage and address issues that come up supporting members, ensuring timely resolutions and assisting internal teams in their investigations. About you: 3–5 years writing readable, tested, and effi

Omada Health is on a mission to bend the curve of chronic disease. Job overview: Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change. We’re looking for a senior software engineer to join our Solutions Engineering Team. Our primary function is to understand customer challenges, design tailored technical solutions using Omada's products and systems, and demonstrate the value and feasibility of those solutions. Your Impact: Shape complex, cross-system integrations. Be involved early on high-complexity, cross-system work (e.g., partner/alliance integration APIs) that requires understanding how systems should fit together and the operational implications of the design. Spot the pattern behind recurring toil and define the reusable templates, standards, and automation the rest of the team builds on. Know when to loop in the engineers who own a given system, and reconcile competing constraints. Get to the real root cause. Go beyond the immediate fix to determine whether the true cause is architectural, a monitoring gap, or a process failure and drive the fix (and the follow-up action items) so it doesn’t recur. Mentor the team — including non-engineers. Be the go-to person for coding guidance and growth for the team’s members who don’t have a formal software engineering background but write code and build automations as part of their role. Drive delivery decisions with stakeholders. Partner directly with commercial, product, and engineering stakeholders to scope solutions that fit real timeframes and constraints, and make the call on technical trade-offs for delivery. Navigate ambiguity. Take on problems that show up without a clear spec — ask the right clarifying questions, scope the actual work, and create a technical plan the team can execute against. Surface risk early and document deeply. Identify risks, edge cases, security concerns, and downstream impacts as part of discovery, and mak

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset— who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are seeking a talented Software Engineer to join our Enterprise Engineering team at Snowflake. In this role, you will be responsible for designing, developing, and testing software systems and applications for our cloud-based enterprise platforms. You will work collaboratively with cross-functional teams to deliver high-quality software solutions that drive innovation and enhance our product capabilities. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Design and develop software systems and applications using Java, NextJs, React, Python, SQL, AWS, Snowflake Design and develop AI Agents and

Location - Hybrid This is a hybrid role based out of our San Francisco, Corporate Headquarter office, 3 days in the office, 2 days remote OR one of our Hub locations, Boston, MA or Raleigh, NC, which means you may be expected to work from a designated co-working space from time to time, and will otherwise work remotely from home, until such time as a dedicated office is established. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role: The Senior Director, Growth is an AI-first revenue leader responsible for driving the macro growth strategy, enterprise pipeline generation, and cross-functional alignment of an intelligent, end-to-end pipeline engine. Reporting to the SVP of Marketing, this role bridges marketing strategy and sales execution —focusing on scaling our integrated Demand Generation and Sales Development (SDR) organization through modern, agentic AI frameworks. Rather than managing day-to-day tactical execution, you will focus on high-level channel architecture, budget optimization, sales leadership alignment, and scaling our marketing engine to maximize global pipeline output. Responsibilities: Pipeline Strategy & Executive Revenue Alignment Align with SVP, Marketing and Sales Leadership on global pipeline target setting, forecasting models, and macro growth strategy across inbound and outbound channels. Drive the strategy and adoption of an agentic AI rev