Вакансии

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're hiring an Integrated Campaigns Manager to own how LangChain brings our biggest narratives to market through integrated, multi-channel campaigns and webinars programs that generate awareness, engagement, and pipeline globally. You'll partner closely with Product Marketing, Solutions, Industry Marketing, and Thought Leadership to translate messaging, customer stories, and content into full-funnel campaigns. From defining the campaign strategy and channel mix to building landing pages, launching webinars, coordinating promotion, and optimizing conversions, you'll own execution from start to finish. You'll be responsible for connecting the dots across channels, audiences, and regions, ensuring we're not just launching individual tactics but building cohesive campaigns that move prospects through the funnel. We're looking for someone who is equally comfortable developing a campaign strategy and getting into the details of execution. You should know how to turn an idea into a live campaign, measure what's working, and continuously optimize to drive pipeline. WHAT YOU'LL OWN GLOBAL INTEGRATED CAMPAIGN STRATEGY AND PIPELINE - Build and own global integrated campaign plans across our core product, solutions, industry, and thought leadership narratives. - Partner with Product Marketing, Solutions, Industry Marketing, and Thought Leadership to translate positioning and content into campaigns with clear audiences, messaging, channels, and conversion goals. - Develop full-funnel campaign strategies that connect awareness and education to demand capture and pipeline generation. - Define campaign goals, audience segmentation, channel investments, and success metrics, with accountability for campaign-sourced and influenced pipeline. - Partner with regional demand generation and field marketing teams to adapt global campaigns for NAMER, EMEA, and APAC markets. - Build repeatable campaign playbooks and identify opportunities to scale successful programs across regions. END-TO-END CAMPAIGN EXECUTION You'll own the campaign from initial concept through launch, optimization, and reporting, and be hands-on throughout. - Integrated campaigns: Build and execute multi-channel campaigns across email, paid media, organic social, webinars, third-party promotion, and sales outreach. - Webinars and virtual programs: Own end-to-end webinar execution, including programming strategy, speaker coordination, promotional planning, registration and attendance optimization, and post-event follow-up. Programs may include thought leadership webinars, product education, live demos, and industry-specific sessions. - Campaign assets and landing pages: Partner with content, design, and web teams to develop campaign assets and landing pages, ensuring consistent messaging and compelling conversion paths. - Lifecycle: Partner with lifecycle marketing to develop segmented nurture programs, audience journeys, and follow-up campaigns that move prospects from initial engagement toward sales opportunities. - Paid and digital: Partner with performance marketing on audience targeting, paid promotion, retargeting, campaign creative, and conversion strategies. - Sales activation: Build campaign enablement and outreach plays with sales and SDR teams to turn engagement into meetings and opportunities. CONVERSION OPTIMIZATION AND CAMPAIGN PERFORMANCE - Own campaign conversion performance across landing pages, webinar registrations, content downloads, and other campaign conversion points. - Identify friction across the customer journey and develop experiments to improve conversion rates and lead quality. - Optimize campaign messaging, creative, targeting, offers, and CTAs based on performance. - Track campaign effectiveness across engagement, MQLs, meetings, opportunities, and pipeline. - Partner with Marketing Ops to ensure proper campaign tracking, attribution, and reporting. - Translate performance insights into recommendations on where to invest, what to improve, and what to scale. CROSS-FUNCTIONAL PARTNERSHIP - Work directly with Product Marketing and content marketing to understand product positioning, launches, and messaging priorities and translate them into global campaign strategies. - Identify compelling narratives, customer proof points, and campaign opportunities with cross-functional partners. - Partner with regional and field marketing teams to ensure global campaigns are relevant to local audiences and sales priorities. - Work closely with Performance Marketing, Lifecycle, and Marketing Ops to build coordinated programs across channels. - Collaborate with Sales and SDR teams on campaign activation, account targeting, and follow-up strategies that drive pipeline. - Own campaign planning, timelines, stakeholder alignment, and execution to ensure campaigns launch successfully. WHAT WE'RE LOOKING FOR - 5–11+ years of experience in B2B demand generation, integrated campaigns, or growth marketing, ideally in developer tools, infrastructure, AI, or technical SaaS. - Proven experience building and executing multi-channel integrated campaigns, with measurable pipeline or revenue outcomes. - You've personally built and launched campaigns, including landing pages, email programs, webinars, promotional plans, and nurture journeys. - Strong understanding of full-funnel campaign strategy, audience segmentation, channel orchestration, and conversion optimization. - Experience running end-to-end webinar and virtual event programs, from planning and promotion to follow-up and performance analysis. - You're comfortable translating technical product messaging and thought leadership into campaigns that resonate with both technical practitioners and enterprise decision-makers. - Strong analytical skills and fluency in funnel conversion, MQLs, cost per opportunity, campaign attribution, and pipeline contribution. - Experience working across global and regional marketing teams, balancing consistent campaign messaging with local market needs. - Working knowledge of modern marketing tools such as HubSpot, Salesforce, Goldcast, Zoom Webinar, and Google Analytics. - Strong project management skills with the ability to coordinate multiple stakeholders, prioritize competing initiatives, and launch campaigns on schedule. - You're a builder. You can develop the strategy, write the copy, build the landing page, launch the campaign, pull the report, and optimize based on the results. - Comfortable with ambiguity, fast-moving environments, and true end-to-end ownership. COMPENSATION We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Salary Range: $165,000-$190,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Argentina (Remote); Mexico (Remote); São Paulo, Brazil Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Senior Product Marketing Manager for LATAM will play a critical role in shaping OKX’s go-to-market strategy, driving community-led expansion and ensuring our CeFi and Web3 product narratives resonate with users in these key regions. This role requires a deep understanding of LATAM crypto landscapes, strong expertise in regional growth marketing, and the ability to work closely with local General Managers (GMs), product teams, and global marketing stakeholders. You will act as the voice of the customer in the region—both externally, to create awareness and adoption, and internally, to inform product and marketing strategies based on local market insights. What You’ll Be Doing Build and run GTM campaigns for CeFi and Web3 products across LATAM, ensuring launches are localized, compliant, and resonate with retail and institutional users. Implement marketing activities that increase product visibility and user acquisition, including digital campaigns, partnerships, community activations, and content distribution. Adapt global product narratives and positioning for LATAM, aligning with market behaviors, regulations, and cultural nuances. Execute programs with key communities, KOLs, and influencers to amplify product storytelling and drive grassroots adoption. Support regional presence through industry events, local meetups, and hackathons, ensuring OKX products are showcased effectively and generate measurable leads. Partner closely with local GMs, BD, and global product teams to deliver consistent, high-impact marketing initiatives. Collect and analyze user insights, competitor activities, and regional market trends to optimize campaigns and inform product teams. Monitor campaign KPIs, adoption metrics, and feedback loops to ensure initiatives deliver against growth and awareness goals. What We Look For In You At least 7 years of product marketing experience , with a significant portion in consumer tech, fintech, or the crypto industry. Direct trading experience in crypto markets is highly desirable. Financial Markets Knowledge : In-depth understanding of financial markets, trading principles, and investment strategies, including familiarity with various financial instruments such as stocks, bonds, cryptocurrencies, forex, commodities, and derivatives. Digital Marketing Expertise : Strong grasp of digital marketing, especially as it pertains to fintech and crypto, including conversion optimization, content marketing, and social media strategies. Community Building & Engagement: Extensive experience in building and scaling crypto-native communities, leveraging influencer networks, organizing events, and creating ambassador programs to drive organic product adoption. Communication and Influence: Outstanding communication skills, with the ability to influence strategy and articulate complex products to a diverse audience. Preferably trilingual in English, Spanish, and Portuguese Market Analysis : Demonstrated proficiency in conducting market research, competitive analysis, and trend forecasting in the digital asset space Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events More that we love to tell you along the process! #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions. What You’ll Be Doing Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path —from feature retrieval and preprocessing to model execution — and deliver measurable improvements without unacceptable model-quality regressions. Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions. Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost. Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills. Evolve reliable feature services and data integrations supporting risk models and decision systems. Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams. What We Look For In You A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams. Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost. Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management. Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback. Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++. Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership. Nice to Haves SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms. Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton. Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores. Fraud detection or financial risk systems. Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to 321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs. We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day. The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production. What you'll do You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse. You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer. You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team. Representative projects Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners Take a new model ability from research prototype to public API feature, from interface design to production rollout Build and operate tools such as web search and code execution under real traffic Automate the manual parts of a model launch Build the evals that catch a capability regression before a launch You might be a good fit if you: Have led technical projects that spanned several teams, from design through launch and operation Have designed and operated production distributed systems where correctness, latency, and availability all matter Have strong product sense and care about API design and developer experience Make sound technical decisions with incomplete information, as models and priorities change close to a launch Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers Make the engineers around you better through design review and mentoring Use AI tools as a regular part of how you design, build, and review software Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Building public APIs, SDKs, or developer platforms Working with large language models, including tool use, agents, or evals Running launches or migrations with fixed deadlines and many dependent teams Building tools for agents, such as search or code execution Storage, memory, or context systems at scale Integrating with cloud platforms such as AWS, Google Cloud, and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Delhi, India; Mumbai, India Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for Business Head/Client Partner Manager to join our team in Mumbai, India. In this role, you will be responsible for developing strategies that grow the market. You will lead the regional team to cultivate relationships with businesses, develop and unlock opportunities for advertisers to grow, bring industry insights and plan growth and acquisition activities.    As a Business Head/Client Partner Manager, you are expected to provide deep product insight and ongoing consultative support to the sales team and their clients. What You'll Do :- Develop strategies, tactics, sales plans, and profit targets for the region Maintain a relationship with our media partner and build together a strategy to grow the business. Manage the day-to-day administration and long-term financial health of the business unit Lead both internal and external QBR process Manage sales routines on a weekly basis Work closely with cross-functional project teams to maintain continuous product knowledge Resolve client issues in an efficient, tactful manner, and support the implementation of solutions that prevent future problems Create an innovative strategy to evangelize and grow the market through the sales team Develop an excellent relationship with the entities and associations in the region Identify and report on business opportunities and strategic alliances in target markets Collaborate with internal and cross-functional teams (marketing, communications, finance, legal, sales, etc.) to drive strategic growth in revenue and operations Track, analyze, and optimize the performance of the app, product adoption, audience growth, being able to define localized strategy and establish a sustainable ecosystem that fits the local needs of clients, companies, and partners Bring industry insights and plan growth and acquisition activities What You'll Need For This Role :- Minimum of 10+ years experience in the online ad sales Bachelor’s degree. A Masters Degree will be a plus In-depth knowledge of the digital and mobile advertising environment Understanding the decision-making process of an advertiser, partnering with them, and bringing customized solutions to drive the best results to target companies What Will Make Us Love You :- You have the ability  to manage multiple projects and work effectively with people and different departments in a fast-paced, dynamic environment You possess strong leadership skills conducting important salesforce teams, finance area, and support areas You have excellent sales and negotiation skills, exceptional presentation and communication skills You are able to work on multiple projects and have excellent project management and time management skills You are driven, optimistic and love to take new initiatives What You'll Love About Us :- We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Work in a dynamic team in a fast-paced industry of an international company with multi-cultural teams around the world Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Sydney Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As an Enterprise Account Executive you will drive growth and success for our Large Enterprise Accounts across industries in Australia. The individual will be responsible for account development and customer satisfaction by building key relationships and ensuring clients achieve maximum business value from UiPath solutions. In our high-growth culture, you'll have significant autonomy to help shape the company while transforming how clients perform in the digital era. You will serve as the voice of our existing clients and collaborate with cross-functional teams to influence UiPath's product development strategy. This is what you'll do at UiPath ● Engage meaningfully with C-level and Executive decision makers to identify new opportunities with large enterprise customers ● Develop and execute multi-year strategic account plans to meet or exceed customer business objectives and maximize wallet share ● Manage and forecast sales pipeline to consistently achieve revenue targets and company goals ● Serve as the primary point of contact for all matters specific to key accounts ● Collaborate with internal teams to enhance customer satisfaction, address challenges, and create seamless experiences ● Drive a culture of sales excellence through consistent implementation of sales processes and performance metrics ● Build strong relationships with industry influencers, customers, and partners to enhance UiPath's market position ● Conduct regular business reviews with stakeholders to ensure alignment and strategic progress This is what you'll bring to the team ● 10+ years of experience in field sales, selling enterprise application SaaS/Cloud/Software solutions to C-level executives ● 5+ years of experience selling specifically to Large Enterprises ● In-depth understanding of multiple industries ● In-depth understanding of enterprise specialized subjects like: Accounting/Supply Chain/R&D Engineering/Sales & Marketing/Human Resources etc. ● Nice to have - understanding about the framework of consulting & technology advising project ● Nice to have - understanding about AI fundamental architecture ● Proven record of accomplishment of consultative strategic sales with C-level prospects ● Experience building relationships with CXO’s of large enterprise customers for business expansion ● Demonstrated success in developing long-term account strategies with existing customers ● Exceptional written and verbal communication skills of English with ability to engage at all organizational levels Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area. As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input. This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no. Key responsibilities Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real Work with Partner Enablement so that partner learning paths and certifications support each specialization Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working Design the review process to scale, using Claude and automation so that routine steps don't depend on a person Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership Minimum qualifications Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams Work effectively where the process is still being built and the details are still changing Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience designing or running a partner competency, specialization, or credential program at a technology company Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people SQL or BI-tool skills sufficient to pull and check your own program data Experience taking a program from its first launch to a repeatable operating cycle Experience launching a program publicly with marketing and communications partners Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector Experience designing partner benefits or incentives, and an understanding of how they change partner behavior Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Most infrastructure engineers never get to build a cloud from the metal up. At Render, you will. Developers and businesses around the world run their apps on Render, and we are building our own bare metal footprint to give them better performance and economics. You'll help take our first colocation site from an empty cage to production workloads, then scale that foundation as we expand our physical presence to thousands of hosts over the coming years. You'll join a small, experienced team with real ownership. You'll partner closely with network engineering and our Kubernetes platform team, and the decisions you make now will become the template for every site that follows. WHAT YOU'LL DO - Take our first colocation site from empty cage to production workloads, then scale what you build as we grow to more sites and thousands of hosts - Design how servers go from the loading dock to production with minimal human touch: netboot, imaging, BMC-driven discovery, and host identity - Partner with network engineering on what the fleet needs from the network, from out-of-band management to production connectivity - Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance, so consuming bare metal feels as easy as consuming cloud - Own the fleet's source of truth for hardware, software, and the physical environment - Automate the full server lifecycle, from burn-in and acceptance testing through remediation, staged firmware rollout, and RMA - Build automation like a production system, with guardrails on destructive actions and designs that survive site-level failure - Shape the technical and operational direction of our bare metal platform, from build-vs-buy decisions to how we operate thousands of hosts, and help hire the team that runs it WHAT WE'RE LOOKING FOR - Hands-on experience building and operating automation for bare metal fleets in datacenters or colocation - Both sides of the work: time with physical hardware and colo providers, and modern, software-driven fleet management - Strong Go or Python, and experience designing systems with reconciliation loops and idempotent, failure-tolerant actions - Depth below the abstraction: you know what your tools are doing under the hood and can debug them when they fail - Experience operating through real failures, such as bad hardware batches, flapping BMCs, or a rollout you had to halt - Deep Linux knowledge and solid networking fundamentals (DHCP, PXE, DNS, BGP) - Working knowledge of Kubernetes, enough to design the interface between the fleet and the clusters that run on it - Clear communication, comfort with ambiguity, and the willingness to push back on a plan when something doesn't add up NICE-TO-HAVES - Operating bare metal fleets at a scale of thousands of hosts - Experience on a bare metal or datacenter build-out from its early days - Running a hybrid environment, or moving workloads between public cloud and owned hardware - DCIM/IPAM tools such as NetBox or Nautobot, or provisioning stacks such as Ironic/Metal3, Tinkerbell, or MAAS - Building reconcilers or state machines for physical infrastructure - Hardware depth: component diagnostics, burn-in tooling, firmware, or Redfish and IPMI at fleet scale - Building internal platforms or APIs used by other infrastructure teams - Based near our colocation sites, or able to visit them regularly If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN. In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development Set goals and reviews for your team, promoting growth and output Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources) You may be a good fit if you have 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role 5+ years of technical go-to-market management experience, specifically managing pre-sales teams Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments Experience with the unique technical requirements and technical procurement process of enterprise tech companies Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment Have excellent communication, collaboration, and coaching abilities Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems Make ambiguous problems clear and identify core principles that can translate across scenarios Have a passion for making powerful technology safe and societally beneficial Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and informed by taking an active interest in emerging research and industry trends Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

The Scheduling & Reservations Coordinator plays a key role in supporting clients by managing scheduling requests, coordinating reservations, and maintaining accurate records. Coordinate scheduling and reservation requests following established processes.

Location: Bengaluru, India We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions. You will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health. You will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used. This position is intended for Hyderabad-based candidates who are available to work from the office. The client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected. Data QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting. Own data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting. Design, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use. Validate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance. Write reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior. Validate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data. Use logical and physical data models and data contracts to assess downstream impact and set quality coverage. Automate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub. Trigger pipeline runs in Airflow and read task results into the quality verdict. Investigate quality issues and support remediation with the groups that produce and consume the data. Design failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests. Run read-only checks in pre-production and production. Integrate quality checks with CI/CD on GitHub Actions or an equivalent tool. Use AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state. Check classification, masking, and retention against the stated data rules. Track defects to closure in Jira and keep test cases and results in TestRail. Provide quality evidence, risks, and readiness input for releases. Use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used. Senior-level data quality engineering experience in ETL testing and data validation. Strong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior. Experience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes. Experience validating PostgreSQL sources, including consistent snapshot counts and logical replication. Hands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework. Experience running and reading orchestrated pipelines in Airflow or an equivalent scheduler. Experience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets. Experience diagnosing data quality issues and supporting remediation. Experience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools. Experience with test management and defect tracking in TestRail and Jira. Working knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms. Experience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives. Working knowledge of data classification, masking, and retention checks. Experience producing data quality metrics, reports, and dashboards. Experience with risk-based testing in Agile or Kanban teams. Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output. Ability to communicate clearly with engineering and business stakeholders. Experience providing quality evidence, risks, and readiness input for releases. Experience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load. Experience with custom cross-table data quality checks that publish results for dashboarding. Familiarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks. Familiarity with RAG and MCP concepts for QE tooling and for generating test data. Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent). Experience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable. Experience specifying and reviewing dbt tests. Developers author those tests.

Location: Philippines About the Role We are seeking an experienced Medical Billing & Patient Accounts Specialist – Bilingual (Filipino / Spanish) with specialized, hands-on expertise in athenaOne (AthenaHealth) billing and revenue cycle workflows. In this position, you will be responsible for managing end-to-end claim follow-ups, resolving claim holds, tracking unpaid or denied claims, and serving as the primary point of contact for patients calling with billing, statement, or balance inquiries. Because AthenaHealth integrates billing directly into its EHR platform, candidate fluency with Athena's Collector module, claim status rules, and hold queues is strictly required on day one. Requirements Key Responsibilities 1. Claim Follow-Up & Denial Resolution (Athena Collector) Monitor and manage daily athenaOne billing worklists, claim hold queues, and claim status dashboards. Research, correct, and resubmit unpaid, rejected, or denied claims with commercial insurance payers, Medicare, and Medicaid. Review Explanation of Benefits (EOBs) and Electronic Remittance Advices (ERAs) directly within Athena to resolve claim discrepancies and process appeals. 2. Patient Billing & Inbound Phone Support Answer inbound patient phone calls regarding billing statements, account balances, co-pays, deductibles, and co-insurance. Clearly and empathetically explain medical bills, charge breakdowns, and insurance coverage decisions to patients over the phone. Set up approved patient payment plans, process phone payments, and resolve patient billing disputes directly within Athena. 3. Account Reconciliation & Charge Auditing Review patient account ledgers in Athena to verify proper insurance payment posting and patient balance adjustments. Identify recurring billing errors or payer rules to help streamline practice revenue cycle management. Maintain clear, thorough documentation of all insurance follow-up attempts and patient call interactions in the patient chart. Qualifications & Requirements AthenaHealth Mastery (Non-Negotiable): Direct, recent hands-on experience using athenaOne / AthenaHealth billing modules (Athena Collector, Claim Worklists, Hold Queues, Patient Statements). Medical Billing Experience: Minimum 2+ years of U.S. medical billing, accounts receivable (A/R) follow-up, and insurance denial management experience. Patient Accounts & Phone Skills: Proven background handling inbound patient billing calls with exceptional telephone etiquette, conflict resolution skills, and spoken English clarity. Revenue Cycle Literacy: Strong knowledge of CPT/ICD-10 coding rules, modifiers, EOB/ERA interpretation, and payer-specific authorization guidelines. Technical Setup: Dedicated, quiet home office, noise-canceling headset, high-speed internet, and familiarity with web-based VOIP phone systems. Work Schedule: Monday- Saturday: 9:00 AM - 5:00PM US Pacific Time

Location: China; Malaysia; Singapore; Thailand Most senior sales roles come with a fixed product, a territory and a number. This one comes with a portfolio of proven technology, customers who already rely on it, and the freedom to decide what to build next in your region. The role has two parts: Build. Find the customer problems our technology can solve, shape new propositions with our product and engineering teams, and prove them through demonstrations and pilots. Win. Personally lead and close the deals that turn those propositions into revenue, then make them repeatable. You will not start from a blank canvas. We are looking for a seasoned enterprise hunter who already knows the buyers in their region and can open doors from day one. As your region grows, so does your remit: you will build the team, partners and plan to take it to the next stage. Why this role is different Room to create. You are not limited to a price list. Good ideas get product and engineering support, and you will work directly with the CEO and a small leadership team that makes decisions quickly. A strong starting position. Mission-critical software already running inside operators, and a digital experience testing platform used by enterprise engineering teams, give you multiple ways into a customer. Real support. BDR, marketing, pre-sales, solutions and global delivery teams behind you, with operations that are stable and well run. Upside that matches the ambition. Competitive base salary plus variable pay weighted to new business you originate and close. Our technology portfolio Our product lines span telecoms service activation and provisioning, SIM and number management, subscriber acquisition and dealer management, customer value management and loyalty, alongside digital experience testing and analytics for mobile, web and streaming applications, including real-device testing, test automation and quality-of-experience analytics. Together they let you enter a customer through one need, such as activation, loyalty or app quality, and build towards a broader relationship. Where you will play Telecommunications. Mobile and fixed operators and MVNOs. Banking and financial services. Retail and digital banks, payment providers and fintechs with business-critical digital journeys. Media and entertainment. Broadcasters, streaming and OTT video and audio services. Global technology and digital platforms. Large internet and platform businesses with demanding product and digital experience needs. Depth in one of these sectors matters more than coverage of all four. Regions and languages Asia including China: business-fluent English and Mandarin essential, including leading discovery and negotiation in Mandarin. Other Asian languages advantageous. Requirements Find the opportunities. Build executive relationships through outreach, industry insight, referrals and partners. Spot unmet needs and buying initiatives before they become tenders. Shape the propositions. With Product, Engineering and Delivery, turn customer insight into offers with a clear use case, pricing, business case and route to market. Test demand and economics before committing resources. Prove them. Run demonstrations, pilots and proofs of concept with agreed success criteria and a clear path to a contract. Close the business. Own complex enterprise pursuits from qualification through procurement, negotiation and signature. Expand and partner. Grow from the first product line into others across the customer, and build a focused group of systems integrators, testing service providers and technology partners with joint target accounts. Build the region. Own the regional plan, pipeline and forecast, and work with Finance on revenue, margin and investment. Recommend and hire the team as demand justifies it. What success looks like First 90 days: senior conversations opened with priority accounts from your existing network, a focused regional plan, agreed targets and a credible qualified pipeline. By six months: first signed business, at least one proposition validated with customers, and evidence of which offers and channels win repeatedly. By twelve months: bookings and revenue on target, multiple new customers, a strong forward pipeline and a plan for the region’s next stage. What you bring 10+ years of enterprise sales hunting. At least ten years selling B2B technology to large enterprises, with a consistent record of personally originating and closing complex new-logo contracts and beating targets. Something you built. Experience taking a technology-led proposition from customer need through launch to paying customers. Established relationships in your region. Named, active relationships with senior decision-makers at operators, banks, media or platform companies in your territory, and with the systems integrators and partners who influence them. A working knowledge of local procurement and competition. Sector depth. Success in telecoms, financial services, media or major technology platforms. Commercial and technical fluency. Value-based selling, business cases, pricing and margin, and the credibility to work with product and engineering leaders. Ownership. Entrepreneurial, persistent and able to mobilise colleagues who do not report to you. The regional language skills above are essential. You will stand out if you have founded or launched a business line, built a team, or opened a new market for a technology company. Benefits Competitive base salary and variable pay tied to new business. The freedom to shape the market approach and propositions for your region. Direct access to the CEO and leadership team, and the backing of established product, delivery and support teams. A remit that grows with the business you build.

Location: Port of Spain, Trinidad and Tobago We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves – all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. Role Overview: The Electromechanical Technician provides hands-on technical and operational support within the workshop, warehouse, yard, and field as required. The role supports equipment inspection, maintenance, repair, testing, preparation, and mobilization while ensuring work is completed safely, efficiently, and properly documented. The position requires a self-driven and flexible individual capable of supporting multiple workshop activities with limited supervision. Reports to: Workshop Supervisor / Maintenance Supervisor Level: Technician II Key Responsibilities Perform preventive and corrective maintenance on mechanical, electrical, hydraulic, pneumatic, and electromechanical equipment. Inspect, troubleshoot, repair, and function-test equipment and associated systems. Support equipment preparation, mobilization, demobilization, and post-job maintenance. Assist with multiple workshop scopes including maintenance, testing, inspection, equipment preparation, and general technical support. Read and interpret electrical schematics, mechanical drawings, equipment manuals, and technical documentation. Identify equipment defects and recommend required repairs, parts, or corrective actions. Maintain accurate maintenance, inspection, defect, and equipment service records. Prepare clear and professional technical reports covering work completed, findings, recommendations, and outstanding actions. Use Microsoft Word, Excel, Outlook, and Teams effectively for reporting, tracking, communication, and coordination. Assist with equipment, tools, spare parts, and consumable control within the workshop and warehouse. Maintain good housekeeping and ensure tools, equipment, and work areas remain safe and serviceable. Take ownership of assigned tasks and communicate progress, delays, material requirements, or technical concerns. Support other workshop and operational activities as priorities change. Follow company HSE procedures, risk assessments, work instructions, and manufacturer recommendations. Requirements Technical Diploma or Certificate in Electromechanical, Electrical, Mechanical Engineering, Industrial Maintenance, or similar discipline. Preferably 2–3 years of relevant industrial, workshop, or maintenance experience. Practical mechanical and electrical troubleshooting experience. Ability to use hand tools, power tools, and electrical diagnostic equipment safely. Ability to read technical drawings, schematics, and equipment manuals. Competent in Microsoft Word, Excel, Outlook, and Teams. Good written communication and report-writing skills. Experience with hydraulic, pneumatic, electrical, pumps, compressors, generators, or similar industrial equipment is an advantage. Key Competencies Strong safety awareness Mechanical and electrical troubleshooting Good technical report writing Microsoft 365 proficiency Self-motivated and able to work with limited supervision Good organization and attention to detail Ability to manage and prioritize multiple tasks Flexible and willing to support different workshop scopes Good problem-solving ability Strong teamwork and communication Accountable for completing and closing out assigned work Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Colombia Paired is a global recruiting agency that connects talented professionals with remote opportunities at companies around the world. Our mission is to help people find great jobs, wherever they are. Paired is a global recruiting agency that connects talented professionals with remote opportunities at companies around the world. Our mission is to help people find great jobs, wherever they are. About Our Client Our client is a fast-growing e-commerce brand in the action sports and camera-mounting space. Its products help riders and athletes capture footage across motorcycle, motocross, mountain biking, cycling, snow sports, automotive, and other action sports. Paid social is a major driver of the brand’s growth, and creative is one of its biggest opportunities to improve performance. About Our Client We’re looking for a Performance Creative Strategist to own the strategy behind paid social creative across Meta and other performance channels. You’ll use performance data, customer research, and clear hypotheses to decide what the team should produce next—and why. You’ll build a steady pipeline of new concepts, turn insights into actionable briefs, and help the team identify and scale winning creative. This role focuses on performance creative strategy. It does not involve managing social media or buying media, and it goes beyond making content look good. Responsibilities Own the creative strategy for paid social across Meta and other performance channels. Maintain a consistent pipeline of new concepts and variations for testing. Review creative performance to identify winning hooks, formats, angles, products, audiences, and offers—and translate those findings into clear next steps. Write detailed briefs for video ads, static ads, UGC, founder-led content, and product demos. Develop hooks, scripts, headlines, calls to action, and messaging angles. Collaborate with creators, video editors, designers, media buyers, and the founder to bring concepts to life. Research customers, reviews, support conversations, competitors, trends, and adjacent markets to uncover creative insights. Structure tests so the team can clearly understand what changed, why it changed, and what was learned. Monitor creative fatigue and plan replacements before performance declines. Adapt winning concepts across products, formats, audiences, and markets. Keep concepts accurate to the products and on brand while moving the creative roadmap forward. Requirements Experience developing creative strategy for a performance-driven e-commerce brand or agency. This is the core requirement. Strong understanding of Meta advertising and direct-response creative. Ability to interpret ad performance data and use it to make creative decisions, not just produce reports. Understanding of hooks, awareness levels, customer objections, offers, positioning, and purchase motivation. Ability to distinguish a genuinely new concept from a minor visual variation. Experience writing briefs, hooks, scripts, and ad concepts, and collaborating with creators, editors, designers, or media buyers. Comfort giving clear, specific feedback and receiving direct feedback in return. Strong organization across multiple products, audiences, and tests. Strong written and spoken English. Experience in action sports, motorcycles, cycling, cameras, or enthusiast products is a plus, but not required. What Success Looks Like The creative team knows what to produce next and why. New concepts are ready before the pipeline runs dry, and briefs are clear enough to execute without unnecessary back-and-forth. Creative decisions are backed by data, customer research, or a clear hypothesis. Winning concepts are identified, analysed, and expanded quickly. Failed tests still provide useful insights. The number of profitable, scalable creatives increases over time. Products are represented accurately, without misleading claims. Creative output becomes more consistent without losing quality. Benefits Competitive salary (USD) Work From Home Flexible hours