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Location: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring our first Product Enablement specialist. You will join the Product & Technical Enablement team and help our go-to-market teams get ready for every product launch, across Agents, APIs, and Creative. You will support our global go-to-market teams. Your mission: help sellers understand, demo, and sell each new launch with confidence, with preparation that starts well before launch day. What sets this role apart: we’re looking for someone who knows our products well enough to demo them and sell them. You have used agents, APIs, or creative tools hands-on, and you can explain how they work and why they matter to customers. You blend that with sales, solutions engineering, or product marketing experience, so you can teach sellers how to use a product, how to demo it, and how to pitch it. This role sits within GTM Enablement and reports to the Product & Technical Enablement Lead. You will work in close partnership with: - Product marketing and engineering teams (keeping content accurate as the platform ships) - GTM enablement (aligning on shared onboarding infrastructure) You will support product enablement for our go-to-market teams across Agents, APIs, and Creative, with the most day-to-day focus on API and Creative launches. This is a full-stack role on a lean team: you’ll build content, deliver training, design practice environments, and flex across products as needed. What you’ll do - Support new product launches: get an early heads-up from product marketing, research, and engineering, follow releases from alpha through GA, and have training ready before launch day, not the week of - Build launch workshops: go beyond what shipped and why it matters, with hands-on workshops on how to use the product, how to demo it, and how to pitch the value - Support competitive enablement: turn product marketing battlecards into trainings, simulations, and demo workshops, so sellers can answer parity, differentiation, and value questions with confidence - Support product certification: help define what “product certified” means for GTM teams, and build the playbooks and training content that raise product confidence across the whole field, not only new hires - Support everboarding and onboarding: keep training tied to new releases and capabilities, and keep content current as products ship - Craft realistic practice environments: demo certifications, role-play scenarios, and customer simulations with scored feedback, built on our own agent technology - Operate AI-natively: use ElevenLabs’ own voice and agent technology to build training and practice environments; default to AI tools to build faster, and teach others to do the same - Measure what matters: define and track the percent of sellers certified within 2 weeks of GA, demo and pitch quality scores, and win rate and stage progression against named competitors, and use the data to improve each launch Requirements We’re looking for someone who knows our products well and can teach sellers to demo and sell them. You’ll thrive here if you: - Have 4-7+ years as an enterprise seller or solutions engineer, or as a seller who moved into product marketing or enablement, at a SaaS, platform, or API-first company - Are hands-on with agents, APIs, or creative tools, and understand at a conceptual level how they work - Have demoed and pitched technical products to customers, and can explain the value, not only the features - Have a track record of teaching, mentoring, or building training, in addition to your customer-facing work - Are comfortable building a program from scratch, with no playbook to inherit - Have credibility with sellers, built from time in the seat or supporting sellers directly, and work well with product marketing, research, and engineering teams - Communicate clearly and can adapt product material for different audiences without diluting it Bonus - Experience at a high-growth AI/ML, developer tools, or API-first company - Background in voice AI, conversational AI, or contact center technology - Vertical depth in financial services, healthcare, telecom or CCaaS, or at other AI companies - Hands-on experience with competing voice and agent platforms - Experience running workshops or labs for sellers or customers - Experience building role-play, simulation, or demo practice environments Location Remote-first, globally distributed role. Expect occasional travel to team hubs and onboarding sessions. Candidates should be able to work effectively across US and European time zones. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. The STEM Horizontal team produces the high-signal coding and STEM data frontier labs train on. We're looking for a Research Engineering Manager to lead the research engineering behind its next layer: synthetic data that measurably improves models, and new benchmarks that measure what today's evals miss. You'll lead a team of research engineers, work side by side with research scientists, and stay close enough to the code to review an eval harness line by line or prototype a generator yourself when the team needs it. You'll also build the team : hiring research engineers is a core part of this role, not a side task. Ideally you've been on the other side, at a frontier lab, and know what makes a lab trust a dataset or a benchmark result. Synthetic data that earns its place. Generation, verification, and filtering pipelines where every sample is checked, and where we can show which properties of the data drive downstream gains, not just how much of it we made. Benchmarks that stay meaningful. New evaluations for capabilities current benchmarks miss, built with calibrated difficulty, contamination controls, and statistics strong enough that a lab can make a decision on the result. Quality failures here are quiet. A subtle bug in a verifier doesn't crash anything; it ships thousands of wrong labels into someone's training run and costs weeks. If you want to build the team and the systems that catch that early, this is the seat. What You'll Do 1. Build and Lead the Team Build the team: define the profiles you need, run hiring, and grow research engineers selected for research taste as much as engineering rigor. Run the team's operating rhythm: project selection, planning, experiment reviews, design docs, and clear ownership. Coach engineers on experimental design, code quality, and presenting results; give direct, regular feedback and run fair performance cycles. Define the standards the team works to: eval methodology, data quality bars, and reproducibility — every dataset and result can be regenerated from a commit, a config, and a seed. 2. Partner with Research Scientists Turn hypotheses into experiment plans together: what we're testing, the baseline, the ablations, and the result that would change our minds. Set the agenda with research scientists. You're expected to bring your own hypotheses, not only implement theirs. Take research prototypes to production scale without losing the scientific intent. 3. Build Synthetic Data Systems at Scale Own synthetic data pipelines that generate, verify, filter, deduplicate, and version data, combining programmatic generators, LLM-based generation, automated verifiers, and targeted expert review. Judge data by its effect on models : ablations and fine-tuning or RL experiments that show which attributes (difficulty, diversity, correctness, coverage) drive gains. Build quality systems that hold up at volume: gold sets, LLM-judge calibration against expert labels, sampling audits, and agreement metrics. 4. Create New Benchmarks and Evaluations Find where frontier models fail and where existing benchmarks have saturated, and design evaluations that measure what's missing . Own benchmark methodology end to end: task taxonomy, difficulty calibration, graders and verifiers, contamination controls, held-out splits, and confidence intervals. Ship eval harnesses , including agentic and sandboxed-execution evals, that are deterministic, reproducible, and trusted by internal teams and partner labs. Make the call on whether a result holds up: partner labs and internal teams act on your sign-off. Publish benchmarks, datasets, and findings with our research scientists at venues such as NeurIPS, ICML, and ICLR. 5. Stay Hands-On and Work with Frontier Labs Write code every week on the hardest, highest-leverage parts: core verifier logic, eval statistics, the pipeline component everything else depends on. Expect a third or more of your time on direct technical work. Be the person the team brings its hardest debugging and methodology questions to: why a judge disagrees with experts, why an eval number moved, whether a gain is real or noise. Act as a technical counterpart to researchers at frontier AI labs: scope requests, set acceptance criteria, and explain results and trade-offs plainly. Partner with Strategic Project Leads, delivery, and engineering teams so research advances land in client work and in the platforms the team builds. Sample Projects Identify a capability gap, design and ship a benchmark for it, and see it adopted by partner labs. Stand up a synthetic data pipeline for long-horizon coding tasks with execution-based verifiers, and run the ablations that show which task properties drive RL gains. Calibrate an LLM-judge grading system against expert labels, map where it fails, and decide where humans stay in the loop. Design the experiment that tells a partner lab whether a two-point gain on their eval is real. Decide which of three competing synthetic data approaches the team should bet on, and design the experiments that settle it. Tech Stack Research: Python · PyTorch or JAX · SFT · DPO · PPO / GRPO · RL with verifiable rewards Evals & data: LLM-as-judge · programmatic verifiers · sandboxed execution · gold sets · contamination checks Platform: Python services (Django / FastAPI) · PostgreSQL · Docker · Terraform · AWS or GCP What We're Looking For Experience: 8+ years of hands-on ML or research engineering, at least 5 in industry, including 3+ years directly managing research engineers, ML engineers, or researchers (hiring and performance management included). Synthetic data at scale: you've owned synthetic or curated data pipelines in production whose output drove training decisions , and can show how you measured their quality and downstream impact. Evaluation rigor: you've designed and shipped LLM evals or benchmarks that others used to make model decisions, and understand contamination, saturation, judge bias, inter-annotator agreement, variance, and confidence intervals. Experimental judgment: you plan ablations up front, choose baselines honestly, and can tell a real effect from noise. Technical depth: strong Python; production experience with PyTorch or JAX; working knowledge of the post-training stack (SFT, DPO, PPO/GRPO, RL with verifiable rewards). Technical direction: a track record of setting direction for a team, not only executing a roadmap handed to you. Scale: distributed data processing and large evaluation or training jobs (e.g., Ray, Spark, Kubernetes) on AWS or GCP. Communication: clear written communication for scientists and non-specialists alike; comfortable presenting results to researchers at partner labs. AI-forward: daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you ship, with the judgment to review their output critically. This is a must-have. Education: PhD or Master's degree in AI, machine learning, computer science, statistics, or a closely related field; PhD preferred. Exceptional equivalent research experience will also be considered. We weigh industry outcomes most heavily. Strongly Preferred Frontier AI lab experience: post-training data, evals, or reward modeling at a frontier lab (e.g., OpenAI, Anthropic, Google DeepMind, Meta, xAI) or a top industry research group. Built or contributed to a public benchmark or dataset the community uses. Nice to Have First-author papers at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar. RL environment and verifier design for agentic tasks: coding agents, tool use, computer use, long-horizon workflows. Data valuation or attribution: measuring what each slice of data contributes to a model. Depth in a STEM domain such as math, physics, chemistry, or biology (not required). Experience managing tech leads or managers, or running several concurrent programs. Directing large expert networks through specs, rubrics, and fast feedback loops. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training, evaluation, and synthetic data. Build the datasets and benchmarks that improve and measure the capabilities of advanced AI systems. Shape how frontier labs measure progress on coding and STEM reasoning. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation $260,000 to $350,000 + Equity Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: New York, New York; Austin, Texas; Dallas, Texas; Boston, Massachusetts; Raleigh, North Carolina Workplace: Remote ROLE SUMMARY The Senior Developer Success Engineer will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience. Location: Must reside in the Eastern Time Zone. WHAT YOU'LL DO Be a keen learner: - At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases. - Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. Be a passionate problem solver: - If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. - You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale. - Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way! Be a great communicator: - As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. - Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test). - You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. WHAT YOU'LL BRING - 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. - Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). - Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. - Minimum of one year experience in an internal or external customer-facing role. - Passion for helping others regardless of who they are or how they act. - Experience working with or as part of remote teams. - Strong written and verbal communication skills. - Seek to understand first, lead with data, and rely on facts. NICE TO HAVE - Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. - Experience with security certificate management and implementation. - Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. - Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Working hours 🌎 While we are an all-remote company and hire almost anywhere in the world, we do require successful candidates to be located in the United States. Preferred location: USA Why this job is exciting As a Strategic Account Director, you’ll help the world’s largest engineering organizations give their developers and AI coding agents the context they need to work across massive codebases. This role blends technical depth, strategic selling, and product passion. It's perfect for someone who thrives in a fast-evolving environment and has proven success in managing high-value customer relationships, structuring strategic deals, and penetrating into key target accounts. Here's what we're thinking: 📅 Within one month, you will… Begin 1:1s with your manager, align on your 30-60-90 plan, and shadow discovery and closing calls. Build your territory plan to penetrate net-new logo accounts with an emphasis on targeted outbound while also expanding and taking ownership of key existing customers. Meet key partners in Solution Engineering, Customer Success, Product, Legal and Engineering teams - they will be key relationships for you throughout your deal cycle. 📅 Within three months, you will… Be a product expert, perfect your storytelling of use cases, demonstrate the product and convey real-world success stories of customers. Design account plans for key accounts focused on expansion and create compelling strategies to align Sourcegraph’s value to your customers' goals, needs, and objectives. Identify champions, influencers, and key stakeholders in the decision process, and build trusted advisor relationships with them to help bring more engineering organizations onto the Sourcegraph platform. Leverage a consistent sales process to build and advance a pipeline of complex, high-value opportunities, accurately capturing deal progress and weekly forecast updates. 📅 Within six months, you will… Build trusted relationships with developers, engineering leaders, and execs. Identify and nurture champions, multi-thread with economic buyers, and start to close strategic opportunities. Collaborate cross-functionally with Solution & Field Engineering, Product, Legal and Engineering to successfully drive technically unique or complex Enterprise deals forward to completion. Actively contribute product feedback to the team and influence our roadmap with insights from the field. Handle the full sales cycle to consistently meet and exceed pipeline and revenue objectives. 📅 Within one year, you will… Be a top-performing Strategic Account Director, exceeding pipeline, expansion, and revenue goals. Lead enablement for future team members by defining best practices for navigating high-value enterprise sales in an AI-first market Be seen as a thought partner to product and execs as we scale Sourcegraph across our highest-value, most strategic customers. About you You are results-oriented and motivated, with a rare combination of entrepreneurial drive, technical curiosity, and executive presence. You are laser-focused on generating new greenfield opportunities and driving expansion within the world’s most innovative enterprises with 5,000+ developers. You are excited about the future of AI in software development and want to be part of building that future. You thrive in ambiguity, adapt quickly, and are motivated by ownership, results, and impact. Your skill-set: 10+ years of B2B SaaS sales experience Proven ability to own customer relationships end-to-end, serving as the primary point of contact for engagement, account strategy, and growth. Methodical approach to executing complex deal strategies Proven success selling to developers, engineering managers, and VPs of Engineering Comfortable navigating a top-down strategic motion Excellent storytelling and discovery skills; you know how to build trust and uncover pain A strong understanding of developer tools, DevOps workflows, and AI trends Uses account research and customer usage data to prioritize accounts and identify expansion opportunities Demonstrated success leading complex, multi-stakeholder deals Expertise with security, licensing, and compliance requirements Confident and curious: you learn the product, demo it well, and aren’t afraid to go off-script High agency: you build rather than wait, take ownership of your business, and thrive in a fast-moving, competitive space Bonus points if you have: Experience at developer-first companies Sold a consumption-based or usage-based product Technical background or deep curiosity about agentic AI and coding workflows Level 📊 This job is an IC6. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation , our compensation ranges are visible to every single Sourcegraph teammate. To determine your salary, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. 💰The target compensation for this role is $180,000 USD base + $180,000 USD variable ($360,000 USD on-target-earnings). 📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 4.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30 min] Recruiter Screen [30 min] Hiring Manager screen with Global Head of Sales 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [45 min] Peer with an Account Executive & Solutions Engineer [60 min] Resume Deep Dive [45 min] Sales Presentation with Regional Sales Director, Global Head of Sales, CRO [30 min] Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically [30 min] Leadership with CRO We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: United States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; United Kingdom; 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. THE TEAM Bitnomial is building the next generation US-based global derivatives exchange, starting with digital assets and progressively expanding to encompass a full spectrum of commodities worldwide. Bitnomial operates a US CFTC regulated exchange (DCM), clearinghouse (DCO), and brokerage (FCM). It offers a range of crypto-settled derivatives, including futures, options, and a suite of live perpetual futures, used by brokers, hedge funds, institutions, and trading firms around the world. Bitnomial's exchange, clearinghouse, and brokerage systems are written largely in Haskell. In this role you will build the services and data models that record every order, fill, and settlement at a CFTC-regulated exchange and clearinghouse, with the database as a first-class part of the design. You will build features across these systems and design the schema, queries, and migrations behind them.   THE OPPORTUNITY - Improve build and release pipelines in GitHub Actions: caching, parallelism, pinned toolchains, and required tests and scans before production - Manage AWS infrastructure as code with Terraform, and run services as containers on Nomad - Build deployment tooling with health checks and automated rollback, and make deploys safe around market sessions - Add metrics and alerts to the services you build, so you can see whether a deploy worked - Monitor systems, respond to alerts, and support daily operations such as settlement cycles - Fix the cause of production issues and write down what you learned - Build, test, and ship well-reviewed features and fixes in our services across the exchange, clearinghouse, and brokerage. Most of the code is Haskell - Understand the order, trade, clearing, and settlement flows end to end   WHAT YOU BRING - Hands-on experience with CI/CD pipelines, such as GitHub Actions or GitLab CI - Production experience with AWS and Docker, and infrastructure as code with Terraform - Strong Linux and scripting skills (Bash, Python, or similar) - 3+ years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++ - Solid computer science fundamentals, including distributed systems: failure modes, retries and idempotency, consistency, and how to observe them across services - Willingness to take part in on-call and operational shifts - Care and rigor with code that moves money - Good judgment with AI tools. You use them to work faster, and you read, test, and understand what they produce before you ship it - A habit of asking why before changing something - Sound judgment under pressure, with a calm and methodical approach when production is live - Collaboration across engineering, operations, risk, and compliance, with a habit of documenting   NICE TO HAVES - Financial knowledge or experience in trading, markets, or financial services - Bachelor's degree in computer science or a related field, or equivalent experience - Experience with Nomad or Kubernetes - Experience with Nix, Ansible, Vault, or Prometheus, Grafana, and Loki - Haskell experience 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 X 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: Brownsville, WI Corporate Office  ; Green Bay, WI  ; Madison, WI  ; Milwaukee, WI  ; Neenah, WI Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000+ people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Learning & Development Partner - Digital can change yours. The Learning & Development Partner - Digital is responsible for designing, developing, implementing, and continuously improving digital learning solutions that support employee growth, leadership development, and business performance across Michels. This role serves as a strategic learning consultant, partnering closely with business leaders, subject matter experts, and Learning & Development team members to identify learning needs and create impactful, scalable learning experiences. The Learning & Development Partner - Digital combines expertise in instructional design, adult learning principles, learning technologies, and emerging trends to deliver engaging and effective development solutions. Responsibilities include designing and developing learner-centered digital learning experiences, including: E-learning courses Microlearning content Video-based learning Interactive learning experiences Assessments and knowledge checks Performance support resources This role also helps manage and optimize the organization's digital learning ecosystem, including the Learning Management System (LMS), learning technologies, reporting, and learning analytics. The successful candidate will evaluate learning effectiveness, monitor learner engagement, recommend improvements, and help advance L&D’s digital learning strategy. Strong relationship-building skills, creativity, a consultative mindset, project management capabilities, and a passion for innovation are essential for success in this role. Key Responsibilities Consult with L&D and subject matter experts to identify learning needs Design, develop, and maintain digital learning content using instructional design best practices Support the organization, maintenance, and lifecycle management of digital learning content. Create engaging e-learning, microlearning, video, and blended learning solutions Support content within the Learning Management System (LMS) Apply adult learning principles and accessibility standards to all digital learning experiences Utilize learning analytics and reporting to evaluate effectiveness and recommend improvements Support the deployment and testing of digital learning content within Workday Learning and other learning technologies, including troubleshooting functionality and compatibility issues to ensure a seamless learner experience Partner with vendors and external partners as needed Stay current on industry trends, instructional design practices, learning technologies, and artificial intelligence applications in learning Contribute to enterprise-wide leadership development, onboarding, and technical training learning initiatives Facilitate leadership and professional development training Why Michels? We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We reward hard work and dedication with limitless opportunities We believe it is everyone’s responsibility to promote safety, regardless of job titles. We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan. Depending on your positions and location you may participate in a different benefit plan. Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You pride yourself on your planning and organizational skills You exceed in your ability to handle multiple projects at once What it takes: Bachelor's degree in a related field and 5+ years of experience in Learning & Development, Leadership Development, Instructional Design, E-Learning, Learning Technology, or a related area (or an equivalent combination of education and experience) Experience designing and developing digital learning solutions from concept through implementation Experience administering or supporting a LMS and digital learning ecosystem Strong knowledge of adult learning principles, instructional design methodologies, and talent development practices Experience developing e-learning content using Articulate 360, including Storyline 360 and Rise Strong consulting, communication, facilitation, and relationship-building skills Strong project management and organizational abilities Ability to analyze learner data and apply insights to improve learning outcomes Experience with video creation tools such as Synthesia preferred Workday Learning experience preferred Experience with learning analytics and reporting preferred Working knowledge of digital accessibility standards and best practices, with the ability to apply them to e-learning, multimedia, and other digital learning experiences International learning and development experience preferred AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a GPU Compute Partnerships & Commercial Operations Manager to secure and manage the external GPU capacity that enables our inference business to serve customers and grow. Working closely with GTM, technical, and finance teams, you’ll translate commercial demand into provider sourcing priorities, help secure commercially attractive capacity, and manage provider agreements throughout their lifecycle. Your work will help ensure that capacity availability, deployment timelines, and provider economics support customer commitments and business objectives. You’ll own day-to-day commercial and operational coordination with compute providers — from evaluating proposals and progressing agreements to managing capacity changes, validating service delivery, and ensuring accurate billing. You’re welcome to work remotely from the United States . Your responsibilities will include: Align compute supply with commercial demand: Work with GTM and technical teams to understand expected customer demand, deployment requirements, and timing, and translate these into external capacity sourcing priorities. Source and evaluate compute partners: Identify and assess GPU providers based on pricing, available capacity, deployment timelines, service reliability, and suitability for customer inference workloads. Support commercial negotiations: Compare proposals and help negotiate rates , capacity commitments, payment terms, service levels, and remedies that support the economics and delivery requirements of the inference business. Drive agreements to execution: Coordinate Legal, Finance, Procurement, Security, and technical stakeholders through review, approval, signature, provider onboarding, and purchase order creation, keeping timelines aligned with planned deployments and customer commitments. Manage ongoing compute partnerships: Serve as a primary commercial and operational contact for providers , coordinating capacity changes, service escalations, renewals, and contractual follow-through as business needs evolve. Reconcile provider performance: Review monthly availability and SLA reports against contractual commitments and internal monitoring data. Work with providers and technical teams to resolve discrepancies and capture applicable service credits. Manage billing accuracy and commercial adjustments: Validate charges against agreed rates, billable capacity, service periods, and delivered service . Resolve billing disputes and ensure contractual credits and adjustments are reflected. Coordinate timely payments: Work with Finance and Accounts Payable to ensure approved invoices are paid on time and outstanding issues are resolved, supporting continuity of critical capacity relationships. Maintain visibility into capacity and commitments: Track contracted capacity , spend, payment schedules, renewal dates, notice periods, provider performance , and open issues to inform commercial planning and upcoming capacity decisions. We expect you to have: Experience in infrastructure partnerships, commercial operations, technology sourcing, or vendor management supporting a commercial business. Strong commercial judgment and the ability to connect capacity availability, provider terms, and service performance to customer delivery and business economics. Experience coordinating agreements across Legal, Finance, Procurement, and technical teams. Confidence working with pricing, contractual commitments, operational data, invoices, and service credits. Strong project management and communication skills, with the ability to drive progress across teams without direct authority. Comfort with infrastructure concepts and translating technical requirements into commercial and operational actions. Attention to detail in reconciling discrepancies and maintaining clear records of obligations, decisions, and adjustments. It will be an added bonus if you have: Experience with GPU compute, cloud infrastructure, data center services, or other capacity-based technology partnerships . Familiarity with inference workloads and the factors affecting capacity requirements and unit economics . Experience supporting capacity planning in a customer-facing or GTM environment. Experience administering SLAs, availability calculations, service credits, and consumption- or commitment-based billing. Familiarity with contract management, procurement , and accounts payable systems. What success looks like: External GPU capacity is secured in time to support customer deployments and commercial demand. Provider pricing and commitments support the inference business’s commercial objectives. Agreements and internal approvals progress in line with deployment timelines. Provider issues and capacity changes are resolved with clear ownership and follow-through. Monthly service delivery and invoices are reconciled accurately, with applicable credits and adjustments captured. GTM, technical, and finance teams have clear visibility into available and committed capacity, spend, and upcoming provider decisions. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-VC1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $160,000 — $205,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Senior Manager, Technical Account Management Location: Remote US Compensation Range: $200,000 to $210,000 OTE (base+bonus) and equity What You’ll Do: You will lead the team responsible for helping Huntress partners get real value from the platform after the sale. You will build a team that is outcome-obsessed about rapid deployment, product adoption, partner retention, and growth, while making sure every Technical Account Manager delivers on the promise of the role. Give a $h*t by stepping into problems early, removing blockers, and ensuring your team supports more than the immediate account request. You will create space for TAMs to bring useful product feedback, support marketing efforts, and coordinate with teams across Huntress. Candor will shape how you coach, set expectations, and address missed commitments. Give More Than We Take by raising the quality of every partner interaction and turning technical account reviews into trusted conversations about value, retention, and expansion. Warrior Spirit will help you lead steadily through competing priorities, customer challenges, and the changes that come with a growing cybersecurity business. Responsibilities: Lead, coach, and develop a team of Technical Account Managers through clear expectations, regular feedback, and focused skill development. Set operating rhythms and measurable account-management standards that keep TAMs accountable for deployment, adoption, partner health, and retention. Ensure TAMs provide consultative post-sales guidance, troubleshoot technical issues, and help partners maximize the value of the Huntress Platform. Reinforce Huntress’ culture of accountability, execution, and customer impact Build team expertise in Huntress products and best practices so TAMs can guide customers confidently and identify risks before they affect the partner experience. Partner across Sales, Support, Product, Marketing, and other departments to coordinate one-off requests, share product feedback, and improve the customer and partner experience. Use AI to build repeatable workflows for account-review preparation, customer summaries, coaching, and prioritization, applying sound judgment to validate outputs and protect customer context. What You Bring To The Team: You have 6+ years of experience in Technical Account Management, pre-sales, customer success, or a closely related role. You bring a strong cybersecurity background and can translate technical concepts into practical guidance for partners and internal teams. You have 3+ years of experience leading, coaching, or developing customer-facing technical professionals and improving the quality of their work. You can present clearly to varied audiences, including technical stakeholders, business leaders, and C-level executives. You manage competing priorities with strong organization, sound judgment, and consistent follow-through. Strong bias toward action, operational discipline, and measurable outcomes. Proven ability to coach, motivate, and hold teams accountable in a fast-paced, growth environment. You use AI to work faster and smarter in your own work, and you can build repeatable workflows that help a team prepare, communicate, and make better decisions. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior Bulgaria, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable backend services using Scala. Build reliable event-processing, notification, and integration services. Develop APIs and distributed system components in highly available environments. Deliver scalable, fault-tolerant solutions that provide business value. Contribute to system architecture, technical design, and engineering decisions. Troubleshoot complex production issues and perform root-cause analysis. Support integration, acceptance, and quality assurance testing activities. Maintain high software quality through testing, reviews, documentation, and best practices. Mentor engineers and promote technical excellence within the team. Collaborate with cross-functional stakeholders in Agile environments. Own services throughout their lifecycle, from design and development to deployment and production support. Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest). What you need for this Mandatory 5+ years of experience with Scala designing, developing, deploying, and maintaining backend services and distributed systems in production. 10+ years of software engineering experience (preferrably Java) 5+ years of experience building distributed systems using Akka (Streams, Actors, HTTP, Persistence) or Apache Pekko . 5+ years of experience with AWS Strong experience designing and operating event-driven distributed systems using technologies such as Kafka , AWS Kinesis , or equivalent messaging platforms . Strong experience with functional programming concepts and libraries such as Cats , Cats Effect, or ZIO. Hands-on experience with Docker . Strong experience with PostgreSQL and SQL query development. Experience with CI/CD tools and automated deployment pipelines (preferably GitHub Actions ) Experience designing and operating event-driven architectures and stream-processing systems. Experience with microservice architectures. Experience working within Agile software development environments. Strong understanding of software architecture and solution design. Strong ownership mindset with the ability to independently drive complex technical initiatives. Nice to have: Experience with Java 17+/21. Experience with Spring Boot. Experience with Hibernate/JPA. Experience with DynamoDB. Experience with CloudFormation. Experience with Flyway. Experience with Snowflake, BigQuery, or Databricks. Experience processing telemetry or event data at scale. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Scala

Location: Remote; New York ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring a Sales Execution & NA Enablement Lead to raise how our enterprise sellers plan, pursue, and win complex, technical deals. This is not a traditional training role. You’ll set the standard for what great enterprise selling looks like, turn it into artifacts and operating rhythms, and make sure sellers and managers actually use it. The role has two mandates: own key global sales execution programs, and act as the primary Enablement partner to North America sales leadership. You’ll work closely with the Global Head of Enablement, Sales Leadership, RevOps, Product Marketing, Product & Technical Enablement, and FDE. What you’ll do - Own enterprise sales execution: Build and operationalize the critical artifacts that drive excellent sales execution. - Enable sellers to win technical enterprise deals: Coach reps to build business cases with champions, read 10-Ks, and connect ElevenLabs capabilities to measurable outcomes for technical and economic buyers. - Partner with NA leadership on enablement: Diagnose field gaps and adapt global programs to NA needs, including competitive positioning, developer-led motions, and vertical playbooks. - Facilitate globally: Lead highly engaging, practical sales execution sessions, not just build the programs behind them. - Manage the coaching and operating rhythm: Embed selling standards and artifacts into how managers inspect deals and coach sellers. - Build the foundation for a vertical selling motion: Lay the groundwork for vertical selling, which is becoming a global priority, not just an NA need. - Execute in an AI-native way: Use AI to scale coaching, practice, and reinforcement, going beyond general AI fluency. Requirements - 10+ years experience in enterprise sales leadership and enablement experience, ideally in an AI-native or developer-focused company - Excellence building and operationalizing value-selling artifacts across sales org with measurable results - Experience with MEDDICC, Command of the Message, Challenger, or similar methodologies, and the judgment to adapt them - Experience enabling frontline sales managers and building strong coaching methodologies - AI fluency, and comfort building in a fast-growing environment where the operating model is still taking shape - Enough technical depth to credibly support sellers selling to developers and technical buyers - Proven cross-functional influence across Sales, RevOps, PMM, Product, and FDE teams - Bonus: Experience working in voice AI Location This is a remote-first role. Candidates must be based in North America. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Power Platform Engineer Senior United States Hybrid APPLY NOW REFER A FRIEND We are looking for a Senior Power Platform Developer to design, build, and support enterprise business applications and workflow automation solutions using the Microsoft Power Platform. The role requires strong hands-on experience with Power Apps, Power Automate, Dataverse, Microsoft 365 integrations, and enterprise application lifecycle management . What project we have for you The project supports digital transformation and business process automation for a large global industrial organization. The team develops enterprise applications and automated workflows that replace manual processes, connect business systems, and improve operational efficiency across multiple business functions. The technology landscape is centered around Microsoft Power Platform, Microsoft 365, Dataverse, SharePoint, and enterprise integrations . What you will do Design, develop, and maintain enterprise solutions using Power Apps, Power Automate, and Dataverse . Build Canvas and Model-driven applications based on business requirements. Develop complex workflows, approvals, and process automation. Design Dataverse data models, security roles, and application logic. Integrate Power Platform solutions with Microsoft 365 and external enterprise systems. Develop APIs, custom connectors, and reusable integration components where required. Manage solution lifecycle across development, test, and production environments. Ensure solutions meet performance, security, maintainability, and governance standards. Troubleshoot and enhance existing applications and automations. Participate in technical design reviews and provide guidance to other developers. What you need for this Requirements: 10+ years of software/application development experience with strong focus on Microsoft Power Platform . Strong hands-on experience with Power Apps , including Canvas and Model-driven applications. Advanced experience with Power Automate and complex business workflow automation. Strong knowledge of Microsoft Dataverse , including data modeling, relationships, business rules, and security. Experience integrating Power Platform solutions with Microsoft 365, SharePoint, APIs, databases, and external enterprise systems . Experience creating and maintaining custom connectors and API-based integrations . Strong understanding of Power Platform security, roles, permissions, and environment management . Experience with Application Lifecycle Management (ALM) , solutions, Dev/Test/Production environments, and deployment processes. Experience troubleshooting and optimizing production Power Platform applications and flows. Ability to translate business requirements into scalable technical solutions. Will be a plus: Experience with Power Pages and Power BI. Experience with Azure Logic Apps, Azure Functions, or other Azure services . JavaScript/TypeScript, C#, or .NET experience for extending Power Platform capabilities. Experience with PCF/custom components . Experience with Copilot Studio or AI Builder . Knowledge of Power Platform governance and CoE practices. Microsoft certifications such as PL-400 . What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Transaction Principal for Australia at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Australian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in the region — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution. Responsibilities: Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross‑functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status Develop and maintain transaction timelines, tracking critical‑path items and proactively identifying risks that could impact deal closure Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms Manage complex digital infrastructure development activities to a construction‑ready state, through a developer or directly Marry the right projects, capital stacks, and developers at the right stages Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy You may be a good fit if you: Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi‑stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large‑scale infrastructure or real estate transactions Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast‑paced, ambiguous environments where processes are being built alongside execution Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ‑based teams and external partners It's a bonus if you: Have experience with data center or hyperscale infrastructure transactions specifically Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield‑on‑cost, cap rates, development fees) Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection) Have relationships within the Australian data center developer and broker ecosystem Have a background in corporate development, strategic partnerships, or infrastructure investment Have experience in high‑growth technology companies managing infrastructure expansion Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE:   At Notion, we believe in building software that adapts to how people work, not the other way around. As we scale globally, we need someone who can ensure our revenue teams are equipped with the knowledge, tools, and processes to succeed across every geography while maintaining our core values and approach to customer relationships. We're looking for a Revenue Enablement Program Manager to turn our global enablement strategy into repeatable programs that drive measurable changes in how our revenue teams work. You'll maintain a consistent global core while tailoring examples, facilitation, sequencing, and practice to the market. You'll partner with Sales Leadership, Revenue Operations, Product Marketing, onboarding teams, and frontline managers to equip the field with the skills, workflows, and just-in-time guidance to execute our GTM strategy. You'll design for practice and proficiency, enable managers to coach and reinforce new behaviors, and use adoption and business signals to continuously improve programs. WHAT YOU'LL ACHIEVE: Global Program Development & Implementation - Champion our global operating cadence to ensure the AMER region is successfully executing our GTM strategy - Design, develop, and program manage comprehensive enablement programs that can be deployed globally and execute them in AMER while maintaining consistency in our selling methodology and GTM goals - Partner with Revenue Operations, Sales Leadership, Product Marketing, and subject matter experts to build scalable curricula, hands-on practice, certification, and continuous learning programs that demonstrate role-based proficiency - Contribute to and maintain the global sales playbook in partnership with its owners, ensuring it reflects practical, repeatable practices across markets - Use AI, automation, and reusable agent-enabled workflows to deliver just-in-time guidance and reinforcement in the tools and workflows revenue teams already use - Define the behaviors each program should change and measure leading indicators such as completion, proficiency, adoption, manager activation, and resource usage alongside downstream outcomes such as time to ramp and productivity. Review results regularly, distinguish correlation from causation, and recommend corrective action when adoption or performance is off track - Lead cross-functional initiatives to align product releases, go-to-market strategies, and enablement rollouts - Partner with onboarding teams to reinforce role-based ramp milestones through hands-on application, practice, and proficiency checks - Build technical and workflow fluency programs that help the field uncover customer needs, translate business problems into practical Notion workflows, and demonstrate their value - Activate frontline managers first with previews, toolkits, coaching prompts, and consistent reinforcement and inspection cadences AMER activation & regional adaptation - Collaborate with regional segment leads to proactively identify segment & market dynamics, competitive landscapes, and customer behavior patterns - Adapt global programs to address regional needs while maintaining core methodology and brand consistency - Create region-specific content, case studies, and competitive battle cards that resonate with local markets - Build feedback loops between regional teams and global program development to continuously improve our approach - Partner with regional managers to coach, inspect, and reinforce priority behaviors in existing team cadences; use field feedback to improve adoption and program design SKILLS YOU'LL NEED TO BRING: Experience & Expertise - 7-10+ years of experience in sales enablement, revenue operations, or similar go-to-market roles - Proven track record of building and scaling enablement programs across multiple geographies, with a consistent global core and effective regional adaptation - Expertise in adult learning methodologies and designing multimodal experiences that build and assess proficiency through practice, application, and reinforcement - High proficiency with the enablement tool stack including emerging AI and automation solutions (ideally AI is already embedded into your workflow) - Experience working with global sales teams and understanding of diverse market dynamics - Strong analytical skills and experience defining target behaviors, tracking leading indicators and business outcomes, and improving programs based on evidence Skills & Qualities - Demonstrate ability to build and automate Enablement and field work through AI workflows - Strategic thinker who can balance global consistency with local relevance - Excellent communication and presentation skills, comfortable working with senior leadership - Natural collaborator who thrives in cross-functional environments - Data-driven approach to decision making with strong attention to detail - Adaptable and comfortable with ambiguity in a fast-growing environment - Passionate about developing people and helping teams reach their potential Technical Requirements - Proficiency with AI tools for workflow development, gamification, content creation, data analysis, and process automation - Strong project management skills with experience managing multiple initiatives simultaneously - Experience enabling frontline managers to coach and reinforce new behaviors - Ability to build or support technical and workflow fluency programs that connect customer needs to practical solutions - Comfortable with sales analytics and performance metrics NICE TO HAVES: - Experience at a high-growth SaaS company - Background in sales, customer success, or revenue-generating roles - International work experience or familiarity with diverse cultural business practices - Experience with Notion or similar productivity tools - Certification in sales methodologies (MEDDIC, Challenger, etc.) Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $205,000 - $245,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Regulatory Operations Associate , you will handle the day-to-day execution, tracking, and operational tasks required to keep Via’s transit partnerships fully compliant. You will monitor operational workflows, maintain audit-ready documentation, coordinate filings, and support the rollout of internal tools and automated reporting systems across our partner deployments. This role is based in NYC with a 3x per week office requirement. What You’ll Do Daily Compliance Execution: Coordinate and submit recurring regulatory filings, vehicle permits, driver credential verifications, and operational reports required by local transit agencies, federal standards (FTA), and accessibility mandates (ADA). Audit & Records Maintenance: Maintain centralized documentation systems, log compliance records, and perform routine audits of service data to ensure all partner markets remain 100% audit-ready. Tooling & Data Entry Workflows: Utilize internal operational tools, AI-assisted reporting workflows, and databases to extract compliance metrics, log discrepancies, and replace manual paperwork with structured digital tracking. Operational Monitoring: Track day-to-day Service Level Agreements (SLAs) and incident reports, flagging non-compliance issues or emerging operational bottlenecks directly to market operations managers. Project Coordination: Update and maintain project trackers, compliance calendars, and operational checklists to ensure all milestone dates, renewals, and partner deliverables are completed on schedule. Cross-Functional Support: Liaise directly with local Fleet Coordinators, Dispatch, Legal, and Market Operations teams to gather evidence, verify on-the-ground operational facts, and resolve administrative compliance blockers. Who You Are 1–3 years of professional experience in operations, compliance coordination, program administration, logistics, or a related task-focused operational role; Bachelor's degree required. Highly organized task manager who thrives on executing recurring workflows accurately and keeping structured trackers up to date. Meticulous attention to detail with a track record of verifying datasets, maintaining clean records, and spotting discrepancies in operational data. Clear, practical communicator able to coordinate across frontline operations, legal, and city teams to track down required documentation. Fast learner comfortable adopting new software platforms, spreadsheets, and internal workflow tools quickly. Prior experience with Salesforce, Google Sheets/Excel, or compliance tracking software is a plus, but not required. Compensation and Benefits Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $65,000 – $85,000 / year We are proud to offer a generous and comprehensive benefits package, including comprehensive medical plans and 401(k) matching. Ready to join the ride? Via is an equal opportunity employer.

Location: India - Remote About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Technical Delivery Lead, Emerging Role: Technical Delivery Lead, Emerging Location: India Experience Level: 12+ years in software engineering or technical consulting, including 5+ years leading enterprise data or AI delivery Work Model: Full-time; India-based, working with distributed teams across the United States, India, and Latin America Reports To: Head of AI Delivery Why Join Turing Intelligence? Turing Intelligence builds and deploys production AI systems for enterprise clients. Our delivery teams work directly in client environments, translating high-value business problems into reliable systems that can operate at enterprise scale. The Emerging portfolio spans consumer goods, supply chain, real estate, manufacturing, media, and other complex operating environments. This role ensures that multiple concurrent engagements reach production on time, meet their commercial commitments, and create the confidence required to earn follow-on work. This is a high-ownership role for a technical delivery leader who can move between architecture, staffing, delivery health, and commercial decisions. Engagement managers own the client relationship; you will own how the work is engineered, staffed, reviewed, and recovered when delivery moves off plan. As the Technical Delivery Lead, Emerging, You Will Own Portfolio Delivery Health Establish a clear operating view across every active engagement, including delivery status, burn against plan, margin, staffing, technical risks, and client commitments. Identify issues early, intervene directly, and ensure recovery plans have accountable owners and measurable outcomes. Assure Architecture and Production Readiness Set and enforce the technical review bar for production AI systems. Review architecture across retrieval, orchestration, evaluation, guardrails, observability, scalability, and security, and ensure every proposed SOW receives appropriate technical review before signature. Lead Distributed Forward-Deployed Teams Build staffing plans for each active SOW, allocate engineers across competing priorities, reduce avoidable bench time through redeployment, and hire and calibrate engineers against a consistently high bar. Lead teams distributed across the United States, India, and Latin America. Shape Scope, Estimation, and Commercial Commitments Partner with pre-sales and engagement leaders on scoping, estimation, delivery plans, and change control. Challenge assumptions before commitments are made, protect delivery margin, and ensure client expectations match the work that can be staffed and delivered. Turn Delivery into Platform Leverage Work with the Chief AI Architect and platform leaders to apply shared architecture and evaluation standards, identify reusable components, and turn successful engagement work into capabilities that improve future delivery. How Success Will Be Measured First 90 Days Create a delivery-health baseline for every Emerging account, including status, burn against plan, margin, and material risks. Put an FDE staffing plan in place for every active SOW and establish a technical review before every new SOW is signed. First Year Maintain Emerging delivery gross margin at or above 40%, prevent avoidable client escalations from reaching the GM without warning, reduce bench time through active redeployment, and contribute at least two reusable components to the Enterprise AI platform. The Anti-Sell Portfolio-level accountability: This is not a single-project delivery role. You will oversee several engagements with different clients, technical risks, staffing constraints, and commercial commitments at the same time. Hands-on technical leadership: This is not a PMO or governance-only position. You must be able to inspect architecture, challenge technical decisions, and guide teams through production issues. Candidates without recent hands-on engineering judgment are unlikely to be successful. Commercial accountability: Delivery quality and margin are inseparable in this role. You will be expected to challenge weak estimates, manage change, redeploy capacity, and make difficult tradeoffs when client demand exceeds the funded scope. Client-facing pressure: You will step into troubled engagements, surface uncomfortable facts early, and work with engagement leaders to reset plans without damaging client trust. Distributed execution: The portfolio relies on teams across multiple regions and time zones. You must be comfortable making staffing and delivery decisions across the United States, India, and Latin America. Our Technical Delivery Leaders Typically Have Enterprise delivery leadership: 12+ years in software engineering or technical consulting, including 5+ years leading enterprise data or AI delivery. Portfolio and margin ownership: A track record of owning delivery outcomes and commercial performance across a portfolio of client accounts—not only a single project. Recent production AI experience: Direct responsibility for shipping GenAI or machine-learning systems to production within the last two years. Technical depth: Strong working knowledge of LLM and agentic architectures, including retrieval, orchestration, evaluation, guardrails, observability, and production operations. Delivery and commercial discipline: Experience with estimation, technical SOW review, staffing plans, change control, delivery recovery, and managing to a P&L. Leadership across seams: The ability to align engagement managers, pre-sales, architects, and distributed engineering teams while maintaining clear accountability for technical delivery. Top-Tier Candidates Will Have Experience leading forward-deployed or client-embedded engineering teams in an AI, data, or technology-services organization. Experience in consumer goods, supply chain, real estate, manufacturing, media, or another operationally complex enterprise environment. A record of turning client-specific delivery work into reusable platform components, delivery accelerators, or technical standards. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United Kingdom (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: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In the UK, the base compensation range for this role is GBP 74,342 - 89,210. 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. *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: Sweden (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: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 640,484 - SEK 768,580. 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. *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: Spain (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: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Spain, the base compensation range for this role is EUR 67,238 - EUR 80,686. 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. *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 .