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Location: Bengaluru, Karnataka, India 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 . Senior Software Engineer Location: Bangalore, India · In-office · Hybrid Experience: 6–8 years About the Role We're hiring a Senior Software Engineer to own significant pieces of our product and platform end-to-end. You'll lead the design and delivery of complex systems, raise the engineering bar through reviews and mentorship, and partner across functions to ship reliable software at scale. This is a high-ownership role for an engineer who combines strong distributed-systems depth with sound design judgment and an AI-forward mindset. What You'll Do Own end-to-end delivery of features and services — from design through production operation. Design scalable, reliable distributed systems and drive key technical decisions. Debug and resolve production issues; improve reliability and performance. Raise code quality and design standards through thorough, constructive reviews. Mentor junior engineers and contribute to a strong engineering culture. Collaborate cross-functionally with product, design, and other teams. What We're Looking For 6–8 years of software engineering experience, ideally at scalable product companies. Proven ownership: end-to-end delivery, production debugging, and mentoring more junior engineers. Strong distributed systems and cloud engineering skills (AWS, GCP, or Azure). Solid code quality, testing, and design practices. A track record with measurable scale, reliability improvements, and architecture participation. Strong cross-functional collaboration and clear communication. A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily. Nice to Have Microservices / platform engineering experience. AI/LLM platform integrations. We are an equal-opportunity employer. We evaluate candidates on demonstrated skills and impact and welcome applicants from all backgrounds. 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 States (Remote) Workplace: Remote ROLE SUMMARY Temporal is looking for a Senior Software Engineer to join the Open Source Server team. This team builds and maintains the core Temporal server. Its scope is broad, including Matching, Applications, Foundations, task processing, quotas and throttling, visibility, developer-facing primitives such as standalone activities, schedules, and streaming, and workflow experience improvements such as Continue-As-New, pause, and reset. We do not expect one person to cover all of these areas. We're looking for an engineer who is excited to learn the system, contribute across the codebase, and help improve the reliability, performance, operability, and developer experience of Temporal. This is a hands-on engineering role where you'll collaborate with experienced engineers to design, build, and operate the core of Temporal's distributed systems platform. WHAT YOU'LL DO - Design, implement, and ship features for the Temporal server. - Solve distributed systems challenges across areas such as task matching, scheduling, workflow execution, visibility, quotas, throttling, persistence, developer primitives, and workflow lifecycle features. - Make thoughtful engineering tradeoffs across developer experience, performance, and operability requirements. - Partner with engineers, product managers, cloud teams, and customer-facing teams to build scalable technical solutions. - Improve the reliability and operability of the server through testing, observability, dashboards, alerts, runbooks, and documentation. - Participate in design discussions and code reviews to help maintain a high-quality codebase. - Contribute to improving the developer experience for both open source users and enterprise customers. - Mentor junior engineers and share knowledge with teammates. WHAT YOU'LL BRING - 5+ years of experience building and operating production distributed systems. - Strong fundamentals in distributed systems, concurrency, fault tolerance, scheduling, and performance. - Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency. - Experience writing concurrent code in production with languages like Go or Java or other applicable languages with skill level as "high end of Intermediate" and/or "Advanced" or "Expert" levels. - Experience building high-scale or performance-sensitive backend services, such as request-serving systems, task queues, scheduling systems, streaming or replication pipelines, rate limiting, sharding, load balancing, workflow engines, or orchestration systems. - Strong debugging, troubleshooting, and operational skills with a focus on reliability and observability. - Experience designing and building backend APIs or platform services. - Ability to work collaboratively across engineering teams and contribute to technical discussions. - Experience with open source software or communities is a plus. - Experience with AWS, Azure, or GCP is a plus. - Experience with technologies such as Elasticsearch, OpenSearch, ClickHouse, Cassandra, PostgreSQL, or MySQL is a plus. - Experience with Kubernetes, CRDs, KEDA, or Argo is a plus. WHAT MAKES YOU A GOOD FIT - You enjoy solving challenging distributed systems problems while keeping the developer experience in mind. - You like learning large codebases and making meaningful technical contributions over time. - You take ownership of your work and collaborate well with teammates. - You enjoy balancing technical depth with practical engineering decisions. - You don't need prior Temporal experience, but you're excited to work on the core of a distributed system used by a large open source community and enterprise customers. 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: London, United Kingdom 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 Notion is building the connected workspace that teams everywhere use to think, plan, and ship — and our partner ecosystem is central to how we grow in the UK market. As Regional Partner Manager for UK, you'll own our partner relationships across the region, working closely with our London sales team to drive revenue through value-added resellers, hyperscaler ecosystems, and local services partners. This is a builder role for someone who thrives in a dynamic, high-growth environment. You'll be the architect of Notion's UK partner motion — standing up programs, forging relationships, and converting partner activity into measurable pipeline. You'll operate across multiple partner types simultaneously and serve as the connective tissue between our ecosystem and our sales team. The ideal candidate brings a hunter's instinct to partnerships: proactive, commercially sharp, and energised by the challenge of building something meaningful in a market with real momentum. You'll work cross-functionally with sales, marketing, and regional leadership — and you'll be a visible face of Notion in the UK partner community. WHAT YOU’LL ACHIEVE - Own and grow Notion's UK partner ecosystem across value-added resellers, cloud/hyperscaler partnerships, and local services partners - Build and execute joint go-to-market programs with regional VARs and solutions partners - Manage Notion's hyperscaler partnerships in the UK, overseeing cloud marketplace deal flow and co-sell motions - Align partner activity directly to the UK sales team's pipeline — facilitating introductions, mapping accounts, and driving resell and co-sell opportunities to close - Coordinate joint initiatives that bring together reseller partners and hyperscaler ecosystems for combined enterprise programs - Develop and maintain strong executive relationships with partner leadership across the region, becoming a trusted extension of their go-to-market teams - Track and report on partner-sourced and partner-influenced pipeline; present program performance to internal stakeholders and EMEA regional leadership - Support services delivery by local partners on an ad-hoc basis, helping maintain quality and partner satisfaction - Identify and qualify inbound partnership opportunities, and proactively surface new partner relationships that can expand Notion's reach in the UK - Collaborate with Notion's global and EMEA partner teams to adapt programs to the local market and share learnings across regions SKILLS YOU’LL NEED TO BRING - 10+ years of experience in partnerships, channel sales, or alliances in the enterprise SaaS or cloud software industry - Demonstrated experience managing both VAR/reseller programs and at least one cloud or hyperscaler partnership — comfort across both partner types is essential - A builder's track record: you've stood up partner programs and can point to outcomes you drove - Strong demand generation orientation - Commercially sharp with the ability to connect partner activity to revenue outcomes - Highly collaborative and effective working alongside direct sales teams — you understand what reps need, and you make their lives easier - Executive presence and strong relationship-building skills; you're as comfortable presenting to a partner CRO as you are coordinating logistics with a partner marketing manager - Experience working in or alongside hyper-growth or startup environments — you're comfortable with ambiguity and moving fast without a complete playbook - Based in London with existing knowledge of the UK technology market; willingness to travel across EMEA and occasionally across EMEA - Strong organisational and operational discipline — you manage multiple active partner relationships without dropping balls, and you communicate proactively NICE TO HAVE - Experience with cloud marketplace programs and hyperscaler co-sell motions - Familiarity with product-led growth (PLG) or bottoms-up SaaS go-to-market models - Existing relationships with UK-based VARs, systems integrators, or hyperscaler partner teams - Cross-market EMEA experience — e.g. managing partnerships across EMEA regions simultaneously 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. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is £162,000 - £190,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #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: Armenia - Remote; Europe; Georgia - Remote; Portugal - Remote; Serbia - Remote; Spain - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll help build the intelligence layer that powers decision-making, AI agents, automation, and business operations across Smartcat — on a greenfield cloud data platform, transitioning from legacy on-premise, batch architectures to cloud-native, streaming-first infrastructure. This is a chance to shape how Smartcat scales its data capabilities over the next several years, directly aligned with the company's transformation into an AI-native, agentic platform. MISSION Help transform Smartcat's data platform into an AI-native foundation where business data becomes discoverable, actionable, and consumable by both humans and AI agents — partnering across Data, Product, Engineering, GTM, and AI teams to enable self-service analytics, intelligent automation, and agent-driven decision support. OUTCOMES Evolve Smartcat's data architecture into a scalable, cloud-native, AI-first platform, leading the transition from batch-oriented pipelines to near real-time and streaming systems Improve reliability, observability, governance, and performance across the data stack, establishing engineering standards and best practices Turn business data into AI-ready assets — building data products consumable by AI agents, analytics systems, and business users, with semantic layers and metadata management Use AI to accelerate development, testing, documentation, monitoring, and operational workflows, and design systems that let AI agents query, understand, and act on business data safely Improve business intelligence and data accessibility — making analytics simpler for non-technical stakeholders and enabling self-service without sacrificing governance or quality Raise the engineering bar through mentorship, code reviews, architecture leadership, and knowledge sharing across Data and Analytics Engineering HOW YOU'LL RAMP By Day 30: Get deep on Smartcat's current data architecture, the greenfield cloud platform build, and the transition plan from batch to streaming Meet your partners across Data, Product, Engineering, GTM, and AI teams to understand current pain points and priorities Get hands-on with the core stack (Databricks, dbt, Airflow, Python, SQL) and current BI tooling (e.g., Omni) By Day 60: Contribute to at least one concrete piece of the Next Generation Data Platform build (pipeline, streaming component, or data product) Have identified and started applying at least one AI-powered workflow to accelerate your own engineering work (testing, documentation, debugging) Begin shaping a semantic layer, metadata structure, or data product aimed at AI-agent or business-user consumption By Day 90: Own a defined piece of architecture or data product end-to-end, with measurable improvements in reliability, observability, or time-to-insight Be actively mentoring or raising the engineering bar through code reviews and architecture input Have a documented example of measurable productivity gains from AI adoption in your own workflow WHAT YOU'VE ACCOMPLISHED 6+ years of experience in Data Engineering, Analytics Engineering, or a related field A proven track record designing and operating modern cloud data platforms, ideally in high-growth SaaS environments Experience working effectively with both technical and business stakeholders Demonstrated ability to lead complex projects from design through delivery Strong hands-on experience with Databricks, dbt, Airflow, Python for data engineering, SQL and data modeling, data warehousing architectures, data quality frameworks, data governance, and data orchestration/integration Experience with streaming architectures and event-driven systems, business intelligence platforms, product analytics platforms, and CRM/customer data platforms A demonstrated AI-first mindset — AI-powered development workflows, automation of repetitive engineering tasks, use of AI for debugging/testing/architecture exploration/documentation, and evidence of measurable productivity gains through AI adoption Bonus: experience building AI-native data products, semantic layers, RAG systems, vector databases, knowledge graphs, or enabling AI agents to consume operational business data Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: United States Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: London WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organisations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organisations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a Sales Development Representative, you'll work closely with our Account Executives and Marketing department to ensure leads are effectively managed across teams in order to attract great clients. Our SDRs play a crucial role in the company, and we'll provide you with the necessary tools, training, mentorship, and leadership as you collaborate with companies to identify their challenges and how Box can help solve them. WHAT YOU'LL DO Act as the initial point of contact for new customers via our sales channels and respond promptly to their inquiries Engage with potential clients through various communication channels such as calls, emails, and marketing efforts aimed at creating business opportunities Foster connections with a wide range of clientele and encourage discussions about Box solutions Demonstrate attentive listening skills when understanding customer requirements and articulating how Box can meet those needs effectively Meet established quota targets for territorial revenue growth consistently Adhere to Box’s standards when using the Salesforce system while also providing lead metrics Occasionally close deals yourself with smaller organisations WHO YOU ARE Strong interest in transitioning to a role in outbound sales Team-centric mindset - demonstrated ability working well in a collaborative environment Experience in engaging with customers and adept at resolving challenges effectively Excellent time management skills Strong relationship-building abilities Strong communication skills and proven ability to identify potential customer opportunities Preferred Experience: Previous experience in a lead generation role or sales Track record of success in a performance-driven role focused on meeting specific metrics Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! BENEFITS Box Benefits package includes pension, medical and dental coverage. We have a robust wellness program including 25 days of vacation (plus your birthday off!) and subsidized gym membership. There is such a thing as a free lunch, you can order from a daily menu along with lots of snacks and drinks. EMEA HQ office is located in the impressive White Collar Factory on Old Street; www.whitecollarfactory.com and other European offices in Paris, Munich, Amsterdam, and Warsaw EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice. NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-EMEA #LI-HYBRID

Location: Mexico (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking experienced professionals in Indian Finance and Financial Services to contribute to a cutting-edge AI benchmarking project. As a Subject Matter Expert, you will create and review high-quality, real-world financial scenarios that evaluate AI systems in Mexico-specific contexts. Your expertise will directly shape how AI understands and performs in India-compliant financial environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in Spanish/English reflecting finance practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native Spanish (Mexico) with strong professional English proficiency - 5+ years of experience in Finance or Financial Services (e.g., structuring, compliance, audit, risk, investment analysis) - Strong knowledge of Mexico's financial products and frameworks - Familiarity with regulatory environments - Ability to write and evaluate professional-grade financial content with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Задачи: — Проектирование высоконагруженных интеграций между внутренними сервисами, включая сложные блокчейн-интеграции; — Проектирование и детальное описание API для backend и frontend команд; — Прозрачная формализация бизнес-логики, гибких схем валидации и комплексных ролевых моделей; — Плотное кросс-функциональное взаимодействие с разработчиками, тестировщиками и бизнес-заказчиками для синхронизации решений. Требования: — От 5 лет коммерческого опыта в роли системного аналитика; — Успешный бэкграунд в Enterprise-проектах (топ-банки, финтех, брокеры, биржи); — Богатый опыт проектирования интеграционных слоев (REST, Kafka, RPC, FIX); — Уверенное и свободное владение SQL для работы с данными; — Отличные навыки работы с инструментами Jira, Swagger и построения диаграмм в PlantUML; — Практический навык подготовки технической документации в рамках концепции Doc as Code; — Базовое понимание специфики блокчейн-технологий и крипто-интеграций; — Высшее профильное техническое образование. Условия: — 100% удаленный формат работы из любой точки РФ со стабильным графиком; — Надежное долгосрочное сотрудничество по договору ИП или Самозанятого; — Прозрачный доход 210k gross без задержек; — Возможность поработать с новейшими технологиями распределенных реестров на базе инфраструктуры крупнейшего банка.

Location: Singapore 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 The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: Site Selection & Market Analysis Lead the end-to-end site selection process for new data center facilities. Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. Technical & Environmental Due Diligence Coordinate environmental, geotechnical, hydrological, and seismic assessments. Assess infrastructure availability (power, water, fiber) and future scalability. Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. Colocation Strategy & Vendor Management Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. Cross-Functional Collaboration Work with data center design and construction teams to validate site feasibility and development timelines. Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. Coordinate with public authorities, utilities, and permitting agencies as needed. Risk Assessment & Compliance Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. Ensure compliance with local regulations, zoning laws, and corporate standards. Maintain documentation for audits, reporting, and internal approvals. We expect you to have: Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. Strong understanding of data center power, cooling, and network requirements. Experience in evaluating colocation providers and negotiating leases/SLAs. Analytical skills in market research, cost modeling, and risk assessment. Ability to manage multiple simultaneous projects across regions. Excellent communication, negotiation, and stakeholder management skills. It will be an added bonus if you have: Experience with hyper-scale or large-scale data center development. Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. Understanding of permitting processes and environmental regulations. #LI-PD1 #LI-PD1 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: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Cloud Network and Infrastructure Engineer is responsible for designing, implementing, securing, and optimizing the Bank's hybrid infrastructure across Amazon Web Services (AWS) and on-premises environments. The role ensures the availability, reliability, performance, scalability, and security of enterprise infrastructure while supporting business-critical systems, cloud adoption, disaster recovery, and operational excellence. This role is ideal for someone who has strong expertise in cloud infrastructure, enterprise networking, systems administration, and infrastructure security, with the ability to manage hybrid environments in a fast-paced financial services organization. What You Will Do Design, deploy, administer, and support AWS cloud infrastructure, including compute, networking, storage, identity, monitoring, backup, and security services. Manage on-premises infrastructure, including Windows and Linux servers, virtualization platforms, storage, firewalls, switches, wireless infrastructure, and data center environments. Configure and maintain secure hybrid connectivity between AWS and on-premises environments using VPN, Direct Connect, routing, DNS, load balancing, and network segmentation. Monitor infrastructure performance, availability, capacity, and security using appropriate monitoring and alerting tools. Support business-critical applications through proactive incident management, troubleshooting, and root cause analysis. Implement and maintain infrastructure security controls, including IAM, access management, patch management, vulnerability remediation, encryption, logging, and firewall administration. Develop and maintain backup, disaster recovery, high availability, and business continuity solutions. Automate infrastructure provisioning and operational tasks using scripting and Infrastructure-as-Code (IaC) tools. Maintain infrastructure documentation, architecture diagrams, asset inventories, configuration baselines, and operational procedures. Participate in change management, incident management, problem management, audit activities, and compliance remediation. Optimize infrastructure and cloud costs through resource utilization reviews and capacity planning. Collaborate with Security, Applications, Database, Service Desk, and Business teams to deliver reliable infrastructure services. Requirements What You Bring Educational Qualification Bachelor's degree or Higher National Diploma in Computer Science, Information Technology, Engineering, or a related discipline. Professional Certifications AWS Certified Solutions Architect (Associate or Professional). AWS Certified SysOps Administrator. CCNA or CCNP. CompTIA Network+ or Security+. Microsoft Certified (Azure Administrator), VMware, Linux, or equivalent certifications. ITIL Foundation certification is an added advantage. Experience Minimum of 3–5 years of experience in Cloud, Network, Systems, or Infrastructure Engineering roles. Hands-on experience managing AWS cloud infrastructure and enterprise on-premises environments. Experience supporting hybrid cloud infrastructure within financial services, fintech, banking, or other regulated industries is an added advantage. Professional Competencies Strong knowledge of AWS services, including EC2, VPC, IAM, S3, RDS, CloudWatch, CloudTrail, Route 53, ELB, Auto Scaling, AWS Backup, and Systems Manager. Strong networking knowledge covering TCP/IP, routing, switching, VLANs, VPNs, DNS, DHCP, NAT, firewalls, wireless networks, and network security. Experience administering Windows Server, Linux, Active Directory, virtualization platforms, storage, backup, and patch management. Knowledge of infrastructure automation using PowerShell, Bash, Python, Terraform, CloudFormation, or similar tools. Strong understanding of infrastructure security, access controls, vulnerability remediation, hardening, encryption, logging, and compliance. Experience with infrastructure monitoring, capacity planning, incident response, performance tuning, and root cause analysis. Excellent analytical, troubleshooting, communication, and stakeholder management skills. Strong ownership mindset with attention to detail and the ability to work effectively under pressure. Ability to collaborate across Infrastructure, Security, Applications, Audit, and Business teams while driving continuous improvement. This Role Is Ideal For You If: You enjoy designing, managing, and optimizing cloud and hybrid infrastructure. You are passionate about cloud technologies, networking, and infrastructure security. You enjoy troubleshooting complex technical issues and improving system reliability. You thrive in highly available, mission-critical environments. You enjoy automating infrastructure and improving operational efficiency. You work well across cross-functional teams and can effectively manage multiple priorities. You May Not Enjoy This Role If: You prefer purely application development over infrastructure and platform engineering. You are uncomfortable responding to production incidents or participating in on-call support. You dislike troubleshooting complex infrastructure and networking issues. You are not interested in security, compliance, or operational governance. You prefer highly repetitive work with limited opportunities for continuous improvement. Benefits What's In It For You Opportunity to build and manage enterprise-grade cloud and hybrid infrastructure in a leading fintech organization. Hands-on experience with modern AWS technologies, automation tools, and enterprise networking solutions. Exposure to large-scale infrastructure modernization and cloud transformation initiatives. Opportunity to collaborate with Security, Product, Engineering, and Operations teams on business-critical platforms. Continuous learning, professional certifications, and career development opportunities. Competitive compensation and the opportunity to solve complex, real-world technology challenges.

Location: Berlin Office Workplace: Hybrid About the role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Forward Deployed Engineer (Ops). You'll spend much of your time working directly with enterprise customers, acting as their trusted technical partner to investigate issues, guide best practices, and help them get the most value from Taktile's AI platform. You will work closely with Taktile’s Engineering, Product and Customer Success Teams, ensuring our customers derive maximum value from Taktile while enjoying a top-tier experience. If you're passionate about tech and AI, stay up to date on the latest AI developments, and have extensive experience with a Decision Platform, REST APIs, Python, and SQL, you'll thrive here.   What You’ll Do as a Forward Deployed Engineer (Ops) - Develop a deep understanding of the Taktile platform and the value it can unlock for our customers. - Support post-onboarding customers with technical problems and product inquiries, maximizing the full potential of our agentic AI workflows for complex decisioning. - Work with Product and Engineering to translate customer insights into product improvements, ensuring Taktile continues to solve real business and technical problems. - Leverage AI to create reusable collateral, best practices, tools, and automations that level up the Customer Success team. - Build strong relationships with Taktile's core users within customer teams. About you - You have 1–2 years of experience in a customer-facing technical role, partnering directly with enterprise customers to troubleshoot technical issues, advise on best practices, and deliver successful outcomes. Experience as a Solutions Engineer, Technical Account Manager, Forward Deployed Engineer, Customer Success Engineer, or Technical Consultant is preferred. - You are familiar with AI concepts including prompt engineering, large language models, and AI Agents. - You are curious and customer-centric, caring deeply about the Taktile platform experience. - You enjoy solving technical problems and finding innovative solutions to customer issues. - You have strong knowledge of APIs and data formats such as JSON and XML. - You are proficient in Python and SQL. - You have strong analytical skills and a hands-on mentality. - You communicate clearly in English with a wide range of customer profiles (engineers, business analysts, risk managers). - You enjoy working directly with customers and are confident leading technical conversations, asking thoughtful questions, and explaining complex technical concepts to both technical and non-technical audiences. - You are open to a hybrid work model and can work from our Berlin office at least three days per week. Ideal Qualifications (but Not Required) - You have a proven ability to navigate, query, and interpret complex systems and application logs. - You have acquired domain expertise in the financial services industry (banking, insurance, lending, payments, etc.). - You have the ability to work flexibly, with a willingness to occasionally work outside of standard business hours. What we offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage AI company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Develop deep expertise in prompt engineering and agentic AI architectures to automate institutions' most complex decisions. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at http://taktile.com/taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: British Columbia; Canada Wide - Excluding Quebec Workplace: Hybrid Safe Software is looking for a Senior Manager, People Operations & Total Rewards to join our HR team. As Senior Manager, you will own compensation philosophy and architecture, total rewards and benefits, people operations and systems, and AI enablement for People & Culture — company-wide, across GTM, Product & Development, and every other part of the business. This role has real impact: it builds the comp philosophy people trust and the people systems that don't break as Safe scales toward $250M ARR. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As part of the HR team, you'll join a group of HR professionals who partner directly with business leaders across Safe Software. Unlike our HR Business Partners, who are each embedded with a specific part of the business, this role owns the infrastructure underneath all of them — compensation, benefits, HRIS, and people operations, company-wide. You'll report to the HR Director, lead a team of two, and work closely with the CRO, Finance, and the Sr. HRBPs in GTM and Product & Development, who rely on your data and infrastructure to do their jobs well. Safe builds FME, the data integration platform trusted by 40,000+ organizations in over 100 countries. Profitable, PE-backed, and on a deliberate path to $250M ARR, every part of the business is scaling at once — and none of it holds together without a comp philosophy people trust and people systems that don't break. That infrastructure doesn't exist yet in the form this stage of growth needs. You're building it. WHAT YOU'LL BE DOING As Senior Manager, People Operations & Total Rewards, you will operate at all altitudes — one week rebuilding the leveling framework that every promotion decision at Safe will run through for the next three years, the next designing an AI workflow to save the team two hours of repetitive work or recalculating a pay band because one offer would have broken it. Both are the job. COMPENSATION PHILOSOPHY & ARCHITECTURE - Own the philosophy, not just the policy. Define what “competitive” means at Safe — market positioning, pay ranges, geographic strategy — and be able to defend it in the room, not just document it. This is a point of view, not a survey result. - Build the architecture from first principles. Job architecture, leveling, and banding largely don't exist in a form that scales past Safe's current size. You're building the framework that holds the next 500 hires, with AI in mind, not patching the one built for the first 50. - Run the comp cycle end to end. Merit, profit sharing, variable compensation, commissions — own the calendar, the modeling, manager enablement, and calibration inputs. The Sr. HRBPs in GTM and P&D own the business conversation; you own the philosophy and the infrastructure underneath it. - Design variable pay where the business needs it most. Partner with the CRO, the Finance team, and the GTM HRBP on OTE structures and quota frameworks. You're not approving their work after the fact — you're building it with them, as the expert in the room on compensation. TOTAL REWARDS & BENEFITS - Own the benefits strategy end to end. Plan design, vendor selection, renewal cycles, and annual open enrollment — across a workforce that's about to span more than one country. - Build for EMEA and US growth. GTM's international build-out is coming. Benefits, pay bands, and statutory requirements need to exist before someone in an international location gets an offer letter, not after. - Make total rewards legible. Comp statements, benefits guides, and manager talking points that explain the “why,” not just the number. If employees don't understand what they're paid and why, the philosophy isn't working yet. PEOPLE OPERATIONS & SYSTEMS - Make the HRIS the source of truth, not a system everyone works around. Own data integrity, workflow automation, and integrations across payroll, benefits, and the tools HR runs on. - Build the reporting infrastructure the business actually uses. Attrition, comp equity, calibration distributions — the Sr. HRBPs reference this data constantly. If it's wrong, slow, or missing, their advice to leaders is weaker. You build the pipes; they use the water. - Automate the process debt away. Onboarding paperwork, data entry, manual approvals — map what's manual today and give it back in hours, not workarounds. AI ENABLEMENT FOR PEOPLE & CULTURE - Be the AI enablement expert for the HR team. Find the tools, run the pilots, and bring back what works — for comp modeling, people ops workflows, and data synthesis. This is a working part of the job, not a side project: the rest of People & Culture shouldn't have to figure out AI adoption alone. - Lead the team's own AI transformation, not just your corner of it. Before People & Culture can credibly help the rest of Safe navigate the shift to AI, the team needs to live it first. You build the practices, comfort, and guardrails the rest of HR adopts. STRATEGIC PARTNERSHIP - Bring a point of view to every comp and data conversation. Pay equity analysis before someone asks for it. A retention read before someone resigns. The craft is in the interpretation, not the spreadsheet. - Be the person leaders call before the decision is final. Headcount planning, org design, a comp exception someone wants to make — you're in the room helping think it through, not rubber-stamping it afterward. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. REQUIRED SKILLS: - 7+ years in Total Rewards and/or Compensation, with real ownership of People Operations or HRIS - Built or substantially overhauled a job architecture or leveling framework - Led a full comp review cycle end to end — merit, bonus, and more - Comfortable owning HRIS as source of truth: data integrity, workflow automation, integrations - Fluency with people analytics: comp equity, pay bands, attrition, and calibration data - Has built and shipped AI-driven workflows that stuck — not pilots that fizzled out — with a proven track record implementing AI workflows in an HR/People context and the ability to mentor others toward the same fluency - Effective communication skills DESIRED SKILLS / BONUS POINTS: - Experience at a PE-backed or high-growth SaaS company ($100M–$500M ARR range) - CCP, CBP, or similar compensation certification - EMEA or multi-jurisdiction comp and benefits experience - Experience designing variable pay/OTE frameworks for a GTM org - HRIS implementation or migration experience - Experience preparing materials for leadership or a board compensation committee - A Bachelor's degree in Human Resources or a related field, or an equivalent combination of education and experience. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: Santa Clara, CA Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is looking for a Site Reliability Engineer About the Role This is not a "keep the lights on" SRE role. As our first or early SRE hire you will be building the reliability engineering function at Forward — defining how we think about availability, observability, incident response, and operational excellence across a complex, distributed SaaS platform. You will work closely with engineering, infrastructure, and product to ensure our platform meets the reliability bar our enterprise customers demand. If you thrive in environments where you're handed a problem rather than a playbook this role is for you. What You'll Own Define and drive SRE practices from the ground up — SLOs, SLIs, error budgets, and the frameworks the engineering org will actually use Drive the reliability and operational excellence of the Forward SaaS platform Build and maintain observability infrastructure — logging, metrics, tracing, and alerting — so the team always knows what's happening before customers do Lead incident response: on-call rotations, runbooks, post-mortems, and the follow-through to make sure the same incident doesn't happen twice Partner with engineering teams to embed reliability thinking into the SDLC — capacity planning, load testing, chaos engineering, and production readiness reviews Help define and build the SRE team as the company scales — this is a foundational hire with a path to leadership What We're Looking For 6+ years of experience in site reliability engineering, DevOps, or infrastructure engineering in a SaaS or cloud environment Proven experience building or significantly maturing an SRE function — not just operating within one someone else built Strong fundamentals in networking — TCP/IP, DNS, routing, switching, firewalls, and load balancing. Experience with network management or observability platforms is a significant plus Hands-on experience with Kubernetes and container orchestration in production environments Deep proficiency with observability tooling — Prometheus, Grafana, Datadog, Splunk, or similar Strong scripting and automation skills in Python, Bash, or similar Experience with cloud platforms — AWS, GCP, or Azure — including infrastructure as code (Terraform, Ansible, or equivalent) Track record of owning and improving incident response processes including blameless post-mortems and SLO-driven reliability improvements Ability to communicate clearly with both engineering teams and non-technical stakeholders — you can explain an outage to a customer-facing team without jargon and explain an SLO to an executive without losing them Nice to Have Experience supporting enterprise or federal government customers with high availability requirements Experience in a foundational or early SRE hire capacity at a growth stage company What This Role Is Not A pure ops or NOC role — you are building and engineering, not just monitoring A siloed function — you will be deeply embedded with product and engineering teams A ticket-taker — you will be proactively identifying and solving reliability problems before they become incidents Why Forward You'll be building something from scratch at a company with real enterprise traction and world-class investors behind it Our customers include some of the most complex network environments on the planet — the reliability bar is high and the work is genuinely interesting People-centric culture built by Stanford Ph.D.s who care deeply about doing things the right way Competitive compensation, equity, and the opportunity to grow into a leadership role as the SRE function scales The base pay range for this role is between $230,000 and $250,000. Base pay will depend on your skills, qualifications, experience, and location

Location: Remote, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role The Global Alliance Lead is one of the most strategically important roles in our Ecosystem. You will own our relationship with one of the world's leading technology and transformation partners end-to-end — from C-suite engagement through to practitioner enablement and joint pipeline creation. You will be the architect of how the GSI and NewCo go to market together, ensuring our platform becomes the trusted data foundation inside the GSI’s agentic AI delivery practice globally. This is a senior individual contributor role reporting to the Global Head of GSI Relationships. You will orchestrate across sales, partner solution architecture, marketing, and partner operations — bringing the full weight of the organisation to bear on one of our highest-leverage commercial relationships. What You'll Do Relationship strategy and executive engagement Own the global GSI relationship at partner and C-suite level, building trusted relationships with Capgemini, practice and delivery team leads. Define and execute a multi-year joint strategy that positions dbt + Fivetran as the default open data infrastructure layer within the GSI’s enterprise AI and agentic workflow delivery Represent NewCo at GSI’s internal forums, client briefings, and industry events — articulating a compelling narrative around open data infrastructure and its relevance to the GSI’s strategy. Platform integration and practitioner adoption Drive adoption of the dbt + Fivetran platform within GSI delivery teams — ensuring practitioners, solution architects and practice leads are certified, confident, and actively recommending the platform in client engagements Work with GSI's practice leadership to embed NewCo's platform into their business groups, standard delivery architectures, RFP responses and client proposals — with particular focus on GSI's Data & AI practices Enablement and go-to-market Design and execute a frictionless enablement programme for GSI practitioners globally — certifications, reference architectures, use case playbooks, and joint delivery assets Partner with GSI's marketing and alliances teams to develop joint go-to-market campaigns anchored to open data infrastructure, trusted AI delivery, and closing the gap between AI POC and production Support GSI in building and positioning client-facing agentic AI value accelerators — with NewCo platform as the foundational data layer — the "NewCo inside" model Pipeline and opportunity development Source and develop new pipeline opportunities through the GSI relationship — identifying client situations where open data infrastructure creates measurable value. Drive co-sell motions alongside GSI account teams, ensuring NewCo is present and influential at the point of client opportunity Maintain a rigorous view of GSI-engaged pipeline — tracking opportunity sourcing, progression, and closed business attributed to the alliance Telemetry and performance Define and track the signals that indicate a healthy, high-performing GSI relationship: certifications, sourced opportunities, platform deployments, practitioner engagement, and joint wins Report regularly to the Global Head of GSI Relationships on alliance health, pipeline contribution, and strategic progress Identify risks and gaps in the relationship early and mobilise internal resources to address them What you will bring 15+ years of experience in strategic alliances, enterprise sales, or partner management within the data, cloud, or enterprise software industry Demonstrated experience managing complex, global relationships with major consulting firms or global system integrators at a senior level Deep understanding of the modern data stack and the business value of open data infrastructure — dbt, Fivetran, or equivalent experience strongly preferred Ability to engage credibly at C-suite and partner level within a global consulting organisation — understanding how GSIs make decisions, build practices, and go to market Strong commercial instincts — able to identify, thoroughly qualify and develop joint pipeline opportunities, not just manage existing relationships Track record of operating as a cross-functional orchestrator — influencing without direct authority across sales, engineering, marketing, and operations Exceptional communication and storytelling skills — able to translate technical platform capabilities into compelling business narratives for consulting and enterprise audiences Familiarity with AI, agentic workflows, and the data governance landscape is a strong advantage + strong knowledge of GSI's operating model and contacts within. Willingness to travel globally to engage GSI leadership and teams across regions What Success Looks Like in Year One A clearly defined joint strategy with GSI signed off at partner Executive level and on track to primary Global Strategic Practice. Material increase in GSI practitioner certifications and active platform deployments across Data & AI and Insights & Data practices GSI-sourced pipeline contributing measurably to NewCo's revenue At least two joint go-to-market campaigns live in the market delivering pipeline — anchored to GSI's agentic AI and trusted data agenda First client-facing agentic value accelerators built on NewCo platform delivered with GSI — positioning NewCo as the trusted data infrastructure inside GSI's AI delivery A telemetry framework in place tracking alliance health and pipeline influence Why This Role This is a rare opportunity to own a marquee relationship at a defining moment for both companies. GSI’s are publicly committing to capturing the full value of the agentic AI revolution for customers  — and the merged dbt + Fivetran platform is the trusted data infrastructure that makes AI production-ready. The person who builds this alliance well will sit at the intersection of the two most important forces in enterprise technology right now: the scale of a global systems integrator and the open infrastructure that makes AI trustworthy enough to deploy at scale. This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. #LI-Remote OTE (On Target Earning) $236,774 — $280,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Atlanta, Georgia, United States About the Role We are seeking an AI Lead to drive innovation and thought leadership around artificial intelligence across Total Perform. You'll combine deep technical expertise in Claude, ChatGPT, and other LLM platforms with the ability to evangelize AI capabilities internally and externally. You'll shape how we build AI-first solutions for customers, establish best practices for AI integration, and become a recognized voice in the AI community—speaking at conferences, publishing technical content, and demonstrating real-world AI applications that drive measurable business value. This is a hybrid role: technologist, strategist, and evangelist. You'll build AI solutions while also positioning Total Perform as a leader in AI-powered consulting and software delivery. What You'll Do Technical Leadership & AI Strategy Design and implement AI/LLM-powered solutions using Claude, ChatGPT, Codex, and emerging AI platforms Establish best practices, architectural patterns, and frameworks for AI integration across projects Evaluate emerging AI tools and platforms, separating real value from hype through hands-on experimentation Mentor engineers and teams on prompt engineering, AI-assisted development, and agentic workflows Build proof-of-concepts and pilot projects that demonstrate AI capabilities to customers and internal teams Collaborate with delivery, consulting, and engineering leaders to identify AI opportunities in client engagements External Evangelism & Thought Leadership Be the external face of Total Perform's AI expertise: speak at conferences, webinars, and industry events Publish technical articles, case studies, and thought leadership content on AI applications and business impact Engage with the broader tech community: contribute to open-source projects, participate in AI forums and communities Present real-world examples of AI-driven solutions and their business outcomes to potential customers Build relationships with media, analysts, and industry influencers in the AI space Represent Total Perform at industry events and thought leadership forums Internal Advocacy & Knowledge Sharing Share AI insights and best practices across the organization through training sessions, demos, and documentation Work with sales and marketing to develop AI-focused messaging and customer narratives Identify and communicate AI-driven competitive advantages and business opportunities Run internal workshops and brown bag sessions on AI tools, techniques, and applications Help frame AI within the context of our service offerings (consulting, custom software, nearshore talent) Who You Are Expert-level, hands-on experience with Claude, ChatGPT, Codex, or similar LLM platforms in production environments Strong technical foundation in software engineering, data engineering, or AI/ML (not just hype) Demonstrated experience building AI-powered applications or integrations that solve real business problems Proven ability to communicate complex technical concepts to both technical and non-technical audiences Natural evangelist and communicator: comfortable presenting to audiences, writing technical content, and engaging on social media Entrepreneurial mindset: you see opportunities where others see obstacles, think strategically about market positioning Strong business acumen: you understand how AI creates value and can articulate ROI and competitive advantage Track record of thought leadership: speaking engagements, published content, community engagement, or recognized expertise in your field Collaborative leader who elevates teams and builds organizational capability around AI Deep curiosity about emerging AI capabilities and their business applications Required Qualifications Hands-on production experience with Claude, ChatGPT, or similar LLM platforms (not just exploration, but real implementations) Strong technical background in software engineering, data engineering, AI/ML, or related field Proven ability to communicate AI concepts to multiple audiences (technical and non-technical) Experience building or architecting AI-powered solutions that deliver measurable business value Track record of external communication: speaking, writing, community engagement, or recognized expertise Strong understanding of AI capabilities, limitations, and ethical considerations Ability to evaluate emerging AI tools and articulate their potential impact and use cases Experience working with customers to identify and implement AI solutions Excellent verbal and written communication skills Passion for AI and commitment to staying current with the rapidly evolving landscape Preferred Qualifications Experience with prompt engineering and fine-tuning LLMs Background in consulting, systems thinking, or strategic advisory Experience building agentic workflows or AI-assisted development tools Published technical content, speaking engagements at industry events, or recognized thought leadership Familiarity with multiple AI platforms and frameworks (LangChain, LlamaIndex, Anthropic SDK, OpenAI API, etc.) Experience in healthcare, financial services, or enterprise software domains Background in product strategy or go-to-market positioning Data science or machine learning background Experience with AI governance, safety, and ethical considerations Tech Stack & Platforms LLM Platforms: Claude, ChatGPT, Codex Frameworks & Tools: LangChain, LlamaIndex, Anthropic SDK, OpenAI API, Hugging Face Development: Python, JavaScript, SQL Cloud Platforms: Azure, AWS, Google Cloud Data Tools: Vector databases, RAG frameworks, embedding models Monitoring & Observability: Langsmith, Arize, or similar AI observability tools Communication Channels: LinkedIn, Twitter/X, Medium, conference speaking platforms Your partner for AI, consulting, software development, and nearshore staffing.

Location: Bangalore Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced Senior Cloud Infrastructure Engineer with 5+ years of experience to help build, scale, and optimize the infrastructure and developer platforms that power our engineering teams. In this role, you’ll take ownership of critical cloud infrastructure, CI/CD pipelines, and developer tooling, ensuring our engineers can build, test, and deploy software efficiently, securely, and reliably. As a senior member of a rapidly evolving team, you’ll play a key role in driving technical decisions, establishing infrastructure best practices, and improving the overall developer experience. You’ll work closely with engineering teams to identify bottlenecks, automate processes, and build scalable solutions that support Cyberhaven's continued growth. WHAT YOU'LL DO - Own and improve CI/CD pipelines using GitHub Actions, ArgoCD, and Terraform to enable reliable, automated, and efficient software delivery. - Design, build, and scale cloud infrastructure on Google Cloud Platform (GCP), leveraging Kubernetes (GKE), Terraform, and managed cloud services. - Drive improvements in developer productivity by identifying and eliminating bottlenecks across build, test, deployment, and release processes. - Improve infrastructure reliability, scalability, security, and performance through automation, monitoring, and proactive optimization. - Take ownership of infrastructure challenges, troubleshoot complex production and development environment issues, and implement long-term solutions. - Establish and promote infrastructure-as-code, GitOps, and cloud-native engineering best practices. - Partner closely with software engineers to understand developer pain points and deliver scalable self-service infrastructure and tooling. - Define and track key metrics around deployment efficiency, build times, infrastructure reliability, and developer experience. - Contribute to technical architecture discussions, mentor engineers, and help establish engineering standards and documentation. WHO YOU ARE - 5+ years of hands-on experience in Cloud Infrastructure, Platform Engineering, DevOps, Site Reliability Engineering (SRE), or Developer Experience. - Strong experience designing, deploying, and managing production-grade infrastructure on GCP (preferred) or another major cloud platform. - Deep hands-on expertise with Kubernetes (GKE), Terraform, and containerized environments. - Proven experience building and maintaining CI/CD pipelines using GitHub Actions, ArgoCD, or similar technologies. - Strong understanding of Infrastructure as Code (IaC), GitOps, cloud-native architecture, and deployment automation. - Experience improving developer workflows, reducing deployment friction, and optimizing build and release processes. - Strong troubleshooting and debugging skills across cloud infrastructure, Kubernetes clusters, and CI/CD systems. - Proficiency in scripting or programming languages such as Python, Go, or Bash to develop automation and internal tooling. - Experience with monitoring, observability, cloud security, and infrastructure performance optimization. - A strong sense of ownership, with the ability to independently drive infrastructure initiatives from design through implementation. - A collaborative, proactive engineer who enjoys solving complex infrastructure challenges and enabling other engineering teams to move faster. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We are looking for a experienced Enterprise Strategic Account Executive who are excited to be part of the early sales team at a very fast-growing startup. Importantly, we are not looking for Alpha, ‘gift of the gab’ type salespeople. Rather, we are excited to hire intelligent, thoughtful and reflective salespeople who build trust and meaningful connections with prospects. The role could develop into a leadership position, managing a team of AEs, or stay as an individual contributor role – closing our largest deals. What you'll be doing Serve as a consultative trusted advisor with a focus on developing and closing new business opportunities with prospective Xelix customer. Manage a portfolio of prospects at various stages of sales cycle with leads developed by the Xelix partner network. Conduct assessments to understand prospects pain-points and develop roadmap and business cases for their finance transformation using Xelix solutions. Manage and forecast sales activity and opportunities by flawlessly executing the Xelix sales process and playbook. Attend in-person meetings on client site, as well as industry events, such as user groups, trade shows and conferences to build and manage relationships with prospective and existing customer base. What you’ll bring 3+ years closing enterprise SaaS deals Expertise using MEDDICC or similar sales methodologies Experience managing long and complex sales cycles with multiple stakeholders. Proven ability to self-source and generate pipeline Consecutive years of quota attainment at a technology company Experience selling into the CFO office Big Plus Points Specific knowledge of Accounts Payable space Multi-lingual Customer Segment Definitions At Xelix, customer segments are defined by annual company revenue rather than employee count. As Xelix serves large organisations, these classifications differ from those commonly used in other businesses. Mid-Market – Organisations with annual revenue of up to £1 billion . Small Enterprise – Organisations with annual revenue between £1 billion and £5 billion . Large Enterprise / Strategic – Organisations with annual revenue of £5 billion or more . These accounts are typically complex, involving multiple stakeholders, longer sales cycles, and global or multi-entity operations. What we offer in return 💰 Competitive base salary starting at £75k, with the potential to double your earnings through 100% OTE 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with three days a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: Redwood City, CA, United States, San Francisco, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHAT YOU'LL DO The Solutions Architect is part of the Customer Success organization and the Box Consulting team, and works across Box and with customers to define and build out complex solutions. The Solutions Architect is a high impact, high visibility role, responsible for ensuring customer satisfaction while promoting Box technical and platform solutions.You will play a critical role in building and sustaining customer and partner relationships while driving the adoption of the Box product and platform. The Solutions Architect also works closely with sales and field teams to maximize opportunities by understanding customer needs, envisioning a future state, and helping customers get there. On any day, you could be advising an enterprise on how to design an application for a custom document vault or helping a customer migrate millions of files into Box.  The next, you may be advising another on how to best integrate Box into their custom CRM.  There is never a lack of technical challenges. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You are a technologist at heart.  You appreciate how technology can be applied to solve complex problems.  Being a trusted advisor and a change agent is energizing.  You get excited about collaborating with diverse teams to drive successful outcomes.  You are intellectually curious and a passionate learner who loves sharing knowledge with others.  You are adept at architecting and designing technical solutions with the right mix of Box configurations/APIs, other SaaS technologies, integration technologies, and partner tools to balance configuration and customization.  You feel confident presenting detailed technical information to executives and positioning ideas to all levels including line of business managers, 'C' level executives, Developers, and IT Architects.  You have an understanding of REST APIs and JSON.  You have the ability to distill complex technical solutions and industry solutions into their digestible parts. With your technical and functional expertise, you are able to facilitate conversations with prospective and existing customers that ultimately lead to the design of solution architectures and strategy. You can handle in-depth technical questions during meetings and sales calls as they relate to implementing Box solutions. You develop project scope documentation, statements of work, technical specifications, and business requirements related to customer engagements. At the end of the day, you are seen as the trusted advisor with customers and they know your goals align to their business cases and strategy. Ultimately, you own the development and delivery of differentiated custom solutions. Here's the fine print: Required Skills: 5+ years of development, consulting, or professional services experience You love working in a dynamic environment where ambiguity is common...and can effectively speak to both technical and non-technical parties Expertise in architecture / system design for cloud solutions (i.e. APIs, DevOps, Infrastructure, middleware, scale limits, rate limits, etc.) Experience working with one or more of the following:  Python, Typescript, Node.js (MEAN stack), Java, .NET , Visualforce. Establish technical delivery expertise based on market trends, research and customer requirements. This role will be the primary leader for pre-sales scoping and delivering repeatable technical solutions. Develop and deliver repeatable solutions that can be used as an industry playbook to drive repeated success & best practices Collaborate closely with key stakeholders across Sales and Customer Success to effectively execute on successful GTM strategy Accurately forecast capacity and deliver upon revenue targets Team with Solutions Consultants to support bookings target attainment A drivers license may be required if you are asked to visit clients onsite Preferred Skills: Expertise in Enterprise Content Management systems and cloud migrations Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-HYBRID Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $142,000 — $206,500 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $142,000 — $206,500 USD