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The Web Applications Programmer is responsible for the programming and implementation of user interface, web service, and database applications for the external facing web site, employee Intranet and components that integrate third-party systems with our web applications and host system.

Location: Toronto, Canada Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   Sensor Tower is the leading provider of market intelligence and insights for the mobile app ecosystem. Our data-driven solutions empower businesses, developers, and marketers to make informed decisions and stay ahead in the competitive mobile landscape.   We are looking for a skilled Business Technology Support Engineer to join our team to manage the day to day information technology tools and facilities for our amazing global staff.    You are a service oriented, self starting, problem solver that thrives working in a modern SaaS company.    What You Will Focus On - Develop and interpret organizational goals, policies, and procedures related to Corporate IT, info security and SOC II compliance. - Review new vendors and work on process improvements. - Purchase and coordinate delivery of IT equipment & maintain asset inventory. - Maintain SaaS applications and licensing. - Collaborate and communicate with technical leaders to ensure systems operate within security controls. - Review project plans to plan and coordinate project activity. - Train users on IT systems and provide technical support when issues arise. - Assist with employee provisioning and deprovision.   Skills We Are Interested In - Operating system knowledge (Mac and Windows). - Proficiency in scripting languages. - Strong organizational and coordination abilities with close attention to detail. - Experience with GSuite, cloud automation, MDM and other SaaS tools. - Proficiency with installation/configuration of software and hardware (including network equipment and printers). - Excellent communication skills for communicating with the business technology team, employees and other departments.   If you are ready to take the next step in your career at Sensor Tower, we’d love to hear from you! Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote (Caribbean) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. OVERVIEW 📍 Remote - Caribbean Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review. This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them. WHAT YOU'LL DO - Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers - Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering. - Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication - Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off - Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring - Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention - Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements - Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction WHO WE'RE LOOKING FOR - Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem. - Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework. - End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs. - Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high. - Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip. - Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence. - Fluent, professional-level English communication, both written and verbal. NICE TO HAVE - Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar) - Familiarity with SQL and reading application logs - Background in technical support, SRE, incident response, or a related engineering-adjacent function - Exposure to AI-assisted coding/agent tooling - Experience in Ops, Support, or CX environments at scale HIRING PROCESS - Application Review - Skills Assessment via Case Study - Case Interview with Tech Support Team Lead - Interview with Head of Worker Experience Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in! Our Product Managers (PMs) have ownership over product optimizations and features, from independently run experiments to major product decisions . Backed by strong analytical skills and business acumen, and inspired by access to senior leadership and transparency into how they make product decisions, our PMs develop insights that lead to new product ideas and Duolingo’s next beloved feature. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... As a Staff Product Manager for our Core App Experience team, you will be responsible for the app-wide systems, states, and shared surfaces that make the app feel coherent for all users. You will partner with peers in engineering and product design to simplify foundational experiences and build frameworks and patterns that make the app easier to use, adapt, and extend. This role will appeal to you if you enjoy: Building systems that make the app experience better for 58M+ daily users Balancing investing for the long-term with launches that make the experience better today Working with PMs across the company to understand their needs, while still holding a high bar for the overall app experience Bringing clarity and impact to an ambiguous problem space 🧠  You will... Own core mechanics, surfaces, and functionality in the app, like user accounts, home messages, and session end Improve product quality with quick interventions that address acute pain points Build systems and frameworks that balance the needs for an A+ app experience with individual product teams’ goals ✅  You have... Built systems and frameworks that improve quality at a major mobile product company Experience turning a broad mandate into a high-ROI roadmap with a mix of near-term launches and long-term investments An extremely high bar for quality and the product sense to match The drive to fix problems you see, even if they don’t fit neatly into your scope The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $204,000 — $306,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Remote (APAC) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. OVERVIEW 📍 Remote - APAC Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review. This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them. WHAT YOU'LL DO - Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers - Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering. - Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication - Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off - Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring - Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention - Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements - Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction WHO WE'RE LOOKING FOR - Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem. - Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework. - End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs. - Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high. - Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip. - Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence. - Fluent, professional-level English communication, both written and verbal. NICE TO HAVE - Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar) - Familiarity with SQL and reading application logs - Background in technical support, SRE, incident response, or a related engineering-adjacent function - Exposure to AI-assisted coding/agent tooling - Experience in Ops, Support, or CX environments at scale HIRING PROCESS - Application Review - Skills Assessment via Case Study - Case Interview with Tech Support Team Lead - Interview with Head of Worker Experience Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Abu Dhabi, UAE About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Role Overview Own the full lifecycle of our fiat risk control products, covering fraud prevention and AML across high-frequency fiat deposit, withdrawal, and payment flows. The focus is on the underlying risk mechanisms: how transactions are screened, scored, held, and released in real time. Combine risk insight with business needs to plan, design, iterate, and optimize an efficient, intelligent risk control system that protects the platform without adding unnecessary user friction. Key Responsibilities Risk Mechanism & Product Design Own the roadmap for fiat and payment risk control systems, including transaction monitoring and fraud detection Design and iterate on core mechanisms such as rule engines, decision flows, risk tiering, holds and releases, and automated interdiction Define the logic behind risk parameters (limits, velocity thresholds, triggers, escalation paths) and balance risk coverage against user friction High-Frequency Transaction Risk Design controls that operate under high concurrency and strict latency requirements across fiat on/off-ramp, card acquiring, card issuing, and payment transaction risk control Work with Engineering on real-time data pipelines, rule execution performance, fallback and degradation strategies, and stability under peak load Detect and close gaps around abnormal patterns such as velocity abuse, account takeover, card fraud, chargebacks, mule accounts, and structuring AI-Powered Risk Control Capabilities Use AI to improve user conversion rates and reduce blockers in risk control flows Optimize risk-related communications delivered to customers during transactions Use AI to proactively guide users through document submission and identity verification, helping them resolve account restrictions or blocks imposed by risk controls Requirement Analysis & Product Planning Explore risk control requirements across business scenarios; combine industry trends and company strategy to set long-term plans and short-term iteration goals Produce high-quality PRDs that define functionality, performance, security, and other standards Delivery & Cross-functional Collaboration Lead prototype design and implementation; coordinate Technology, Data, Compliance, and Operations to deliver on time and at quality Communicate the value and usage guidelines of risk products, answer questions, and ensure risk strategies are implemented effectively across business lines Translate AML requirements into product capabilities, including transaction monitoring scenarios, sanctions and watchlist screening, and suspicious activity workflows Support audit and regulatory inquiries with clear documentation of risk logic Data Analysis & Optimization Continuously monitor product data and evaluate the effectiveness of risk strategies and product features Define metrics (false positive rate, interception rate, fraud loss rate, case handling time, decision latency) and drive data-based iteration Run back-testing and A/B validation before rule or model rollout Build feedback loops between case management, operations, and strategy tuning; support incident handling, root cause analysis, and post-incident reviews Requirements Bachelor's degree or above in Computer Science, Mathematics, Statistics, Finance, Engineering, or a related field 3+ years of experience in risk control product design, with familiarity with the risk control processes of at least one field such as payments, credit, or e-commerce; experience in high-volume transaction environments strongly preferred Has led complete risk control product design and launch projects Hands-on experience in risk strategy formulation, model building, and rule engine design Solid understanding of fraud and AML mechanisms: rule engines, risk scoring, transaction monitoring, sanctions screening, and real-time decisioning Familiarity with fiat payment flows, including card schemes (Visa/Mastercard), bank transfers, chargebacks, and payment fraud typologies Familiar with risk control technologies and tools (risk models, anti-fraud systems, decision engines) and the application of machine learning in risk control Strong data analysis skills: SQL and Python for data extraction, analysis, and visualization Able to discuss system design (latency, throughput, data consistency) credibly with engineers Familiar with financial regulations and regulatory policies, with a strong sense of compliance Strong logical thinking, problem-solving, communication, and coordination skills; able to drive alignment with Compliance and Operations Rigorous and responsible, with strong stress resistance in high-pressure environments Fluent English; Mandarin is a plus Nice to Have Experience at a crypto exchange, bank, payment company, or fintech AI knowledge is a plus for this role Knowledge of AML regulatory frameworks (FATF, MiCA, PSD2) is a plus Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Puget Sound Veterinary Specialty + Emergency - Gig Harbor, Washington Puget Sound Veterinary Specialty & Emergency in the beautiful Pacific Northwest is searching for an amazing ONCOLOGIST to join our family! (Gig Harbor, Washington) About Us Puget Sound Veterinary Specialists is a new specialty hospital in the heart of the beautiful Pacific Northwest.  We are a progressive and inclusive practice, started with the vision of breaking the mold of veterinary medicine that is rife with burnout and compassion fatigue.  Our core values of Respect, Integrity, Compassion, and Humility with the over-arching “Do The Right Thing” are the backbone and framework of how we practice medicine, care for ourselves, each other, our patients and their families.  We prioritize quality of life and work-life balance to give time to enjoy everything the beautiful PNW has to offer. We take pride in our horizontal team structure. Our technical and support staff are highly valued and cherished as critical members of the team, this is evident in our shared bonus structure that is provided to all support staff as the hospital grows.  In addition to exemplary specialty and emergency medicine, we maintain a collaborative and collegial working environment that supports continued growth and learning in our hospital at all levels. We are growing by the day and are ready to hire additional technicians. Afraid to leave your favorite technician? We will take them, too! The Opportunity PSVS has a rare and exciting opportunity for you, a visionary Oncologist, to build the specialty service of your dreams and contribute to the culture and development of our hospital.  You will have the support of the existing specialties at PSVS, including surgery and internal medicine, with a fully operational 24-hour ER service. We recently completed building a state-of-the-art, 21,000 sf facility in Gig Harbor, Washington. You will have your very own brand new oncology suite with a hood room connected directly to your treatment area for ease of treatment and safety. As you develop your service you will have the freedom to order and build your instrumentation and tool set directly in line with your own preference!!! Our hospital facility also includes a dedicated ICU with long-term mechanical ventilation, full in-house lab, 128-slice CT, MRI, ultrasound, in-house blood-bank and component therapy, I-131 therapy, minimally invasive surgery, flexible and rigid endoscopy, and fluoroscopy and more. Our ideal candidate is board-certified with experience. You would value and foster a hospital culture of compassionate care, would promote teamwork, and inclusivity with the vision to expand our core values and hospital vision. Our Team Members also have the opportunity to give back to communities around the globe through our partnership with World Vets. Each year, we send a group of doctors and support staff abroad to help pets in need and support programs that nurture healthy relationships between people and animals. For the Successful Applicant: Life is not just about work!  We recognize that to be an excellent, satisfied clinician with longevity in this career, work-life balance is imperative.  Work life balance is a founding principle of our hospital.  Quality of life involves loving our jobs as well as pursuing our passions outside of work.  Imagine living on the beautiful, laid-back Olympic Peninsula, an outdoor-enthusiast’s dream with mountains and the Puget Sound out your backdoor, and the Pacific Coast or desert a couple hours drive away. The metropolitan life of downtown Seattle is just a short drive or ferry trip away. Here are some of the ways we will help ensure this balance… Help continue to develop an incredible multispecialty and ECC hospital Generous salary plus bonus or pro/sal position WITHOUT the stress of negative accrual Potential additional bonuses as the department grows and thrives A generous relocation bonus 401K with employer match Full medical/dental/vision Employer-paid short and long-term disability insurance License reimbursement and a liberal CE allowance Substantial paid time off for work/life balance with no worry for negative accrual Personal pet discount Flexible schedule AVMA member & PLIT insurance Access to veterinary social worker services A chance to give back with World Vets trips around the globe If your dream work/personal life involves loving your job as well as pursuing your passions outside of work, come join us, develop your own oncology service, and see what working with a truly supportive, engaged team is like! Compensation: $225,000-$275,000 Please send your CV/resume to Ashleigh Peters at apeters@lakefieldvet.com Inquiries will be treated with complete confidentiality. Compensation Range $225,000 — $275,000 USD

Location: Remote - Canada Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Staff Mobile Software Engineer for Stytch, where you'll shape the next generation of identity and fraud prevention products. About the job We are currently building our talent pipeline with qualified candidates for future openings in this position. This position is needed to help scale Stytch’s core identity and fraud products as we bring Stytch capabilities to Twilio’s full customer base, delivering secure, developer-first identity and fraud prevention experiences. You’ll build mobile SDK products that power authentication, fraud detection and prevention as well as emerging agentic identity use cases. You’ll partner closely with product and engineering leadership to design and deliver high-impact customer-facing features, and evolve our platform for Twilio’s scale. This is a rare chance to operate like a startup within Twilio: you’ll work in a high-ownership environment with startup speed, backed by Twilio’s reach and scale. Responsibilities In this role, you’ll: Build and own the mobile SDKs for Stytch’s identity and fraud detection platforms on Twilio—go deep on device internals for complex signal collection to improve identification of bad actors and ship new SDK surfaces powering core authentication flows, including agenting and non-human identity use cases. Partner with Product and Engineering leadership to set direction, translate customer needs into product capabilities, and deliver high-impact roadmap features. Collaborate across Twilio and Stytch teams to align on architecture, integrate platform capabilities, and unblock cross-team initiatives. Operate with deep technical ownership: author design docs, drive key technical decisions, review code, and stay close to the systems you ship. Build in ambiguity—break down complex problems, make pragmatic tradeoffs, and design developer experiences that delight our customers. Improve production quality and resilience through strong observability, incident response and remediation. Mentor and support other engineers through pairing, feedback, and knowledge-sharing, helping raise the team’s technical bar and culture. Qualifications: Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 6+ years of professional mobile engineering experience, with deep experience in designing, building and maintaining mobile applications. Android development experience, fluent in Kotlin or Java. Expertise in mobile development ecosystems, frameworks, 3rd party libraries. Deep understanding of software engineering best practices, including monitoring, observability, and building maintainable systems. Experience making high-impact technical decisions and leading technical initiatives. A proven track record of driving technical excellence while keeping customer needs at the center of your work. Deep understanding of software engineering best practices, including monitoring, observability, and building for the long term. Exceptional communication and collaboration skills, with the ability to influence and align stakeholders. Bachelor’s degree in Computer Science or related industry experience. Excellent written and verbal communication skills. Schedule: ability to work non-standard, on-call rotation weekend and holiday hours. Desired iOS development experience. Familiarity with Kotlin Multiplatform, C/C++, Swift or Go. Experience building developer tools or SDKs. Builder at heart. Through a hobby or your profession, you are passionate about being hands on and seeing your work come to life. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400.00 Target Bonus Percentage 10% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, CA 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 Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work Research how models can learn efficiently from experiments and real-world feedback Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned Scale research ideas from prototype to production training runs Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities Minimum qualifications Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX Hands-on experience training or evaluating machine learning models Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results Ability to implement your own research ideas and diagnose problems in complex systems Ability to learn unfamiliar technical fields quickly and work productively with experts in them Clear communication and a collaborative approach to solving problems Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology Commitment to developing AI that is safe and beneficial Preferred qualifications Experience with reinforcement learning and pre-training on large language models, including environment and reward design Familiarity with large-scale language model training, evaluation, and inference pipelines Published research or practical experience in AI for science or engineering, or in long-horizon reasoning A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data Experience with large-scale data pipelines and technical or multimodal datasets Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing 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: $500,000 — $850,000 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: New York City Metropolitan Area; Manhattan, New York; New Jersey; Brooklyn, New York; Boston, Massachusetts; Connecticut; Pennsylvania; Trenton, New Jersey; Newark, New Jersey Workplace: remote Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide. We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us. Your job has four parts: Qualify those leads quickly. Run discovery with buyers at banks, insurers and life sciences companies. Scope the work with our architects. Close. What you'll do: Pick up new leads as they arrive, decide which to pursue, and be able to explain why. Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path. Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses. Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Translate Anthropic's product roadmap and partnership incentives into the client propositions. Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews. Keep the CRM current and forecast your deals accurately. Bring buyer objections and patterns from each industry back to leadership and marketing. Travel for client meetings, up to 30% of your time. What You Need: 2–4 years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took. OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors. Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms. Experience selling services engagements or complex B2B deals with several stakeholders. Clear written and spoken communication with director-, VP- and C-level buyers. Comfort handling a steady volume of leads and choosing where to spend your time. Strong plus: Experience selling AI/ML, data or cloud services. Experience working partner-referred leads from Anthropic, AWS, GCP or Azure. Why this role is worth your time: Leads arrive every day, so your time goes into closing rather than prospecting. You learn enterprise AI consulting sales in two regulated industries. You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations. The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production. Work at the intersection of two AI partnerships: Anthropic and AWS. High-impact role with direct visibility to leadership. Compensation and benefits: Base $90–120K + commission, OTE range $140–170K. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. B2B contract model or full-time model. Unlimited vacation policy. Generous health, vision, and dental insurance, and life insurance. 401(k) matching plan. Our process: A 30/45-minute call with our recruiter. An interview with the AE about a deal you closed. An interview with the Chief Commercial Officer. An interview with the CEO.

Location: Remote - US About the Job: LaunchDarkly is building the runtime control layer for the AI era , helping engineering teams govern what ships in production and how software and AI agents behave after deployment. As Senior Accounting Manager, you’ll play a key role in strengthening the financial operations behind that work: owning critical close and technical accounting activities, supporting international entities and audit readiness, and partnering across Finance, Technology, and the business. You’ll also lead and develop a global team while improving accounting workflows, systems, and controls, including through automation and AI. This is an opportunity to combine hands-on accounting expertise with meaningful leadership and operational impact at a company shaping how teams build and run software. Responsibilities: Lead, coach, and develop a high-performing global accounting team with clear roles, decision rights, objectives, and development plans Manage and accelerate close activities for key corporate accounting functions, including general accounting, treasury, accounts payable, employee reimbursements, and corporate card program management, and identify opportunities for close timeline compression Prepare and review journal entries, balance sheet reconciliations, and variance analyses in compliance with US GAAP and internal accounting policies Execute technical accounting for stock-based compensation (ASC 718), leases (ASC 842), and foreign currency matters (ASC 830), including drafting analyses and memos for review Lead the implementation of a procure-to-pay (PTP) tool, with a focus on the PO-to-Pay workflow, partnering with Procurement, IT, and business stakeholders from requirements through rollout and adoption Support and partner with the International Accounting team to ensure intercompany transactions and subsidiaries’ financial reporting are accurate and timely Partner with Technology teams and business stakeholders on ERP enhancements/implementations, integrations, and reporting improvements Document and maintain accounting policies, procedures, and key controls Identify and implement opportunities for workflow improvement and systems optimization/AI automation across the close and accounting operations lifecycle Qualifications: Bachelor's degree in accounting, finance, or a related field At least eight years of progressive accounting experience At least three years of experience leading a team of accountants Strong knowledge of US GAAP Hands-on experience in NetSuite (or a similar ERP), including improving workflows and reports Ability to operate independently with strong accountability and initiative Demonstrated experience using automation and AI tools to improve efficiency and accuracy in accounting operations Experience working in a multi-entity, multi-currency environment Ability to work across Finance and the business and explain complex accounting clearly to leaders, auditors, and colleagues outside Finance Preferred, not required: Big 4 experience CPA certification Experience in a high-growth technology company Pay: Target pay ranges based on Geographic Zones* for Level M3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - 187,660** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - 168,850** Zone 3: All other US locations - $116,000 - 159,500** All Zones inclusive of a 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. Manager, Treasury Cash & Settlements Build something people love Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we care deeply about the people using our products. If that sounds like you, keep reading. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work. About the team The Finance team is where numbers become decisions. Within Finance, Treasury looks after the cash that moves through Wealthsimple every day — across a growing number of entities, currencies, and products. As we've expanded, so has the complexity of that job: more accounts to watch, more flows to move, more systems to keep working together. This role sits within Cash & Collateral Management and reports to the Senior Manager on that team. We're a small, high-trust group — embedded in the business, not reporting from the sidelines — and we hold ourselves to a high bar for both rigour and clarity. If you want your work to actually shape how the company operates, this is the place to do it. About the role Wealthsimple's cash operations have grown more complex as our product line-up has expanded — more entities, more currencies, more moving parts. This role exists to keep that complexity under control: owning the day-to-day movement and monitoring of cash, while also driving the automation work needed to make it scale. It's not a "keep the lights on" role. You'll be expected to build the tools and processes that make cash management faster and more reliable, not just operate what already exists. This role doesn't have direct reports today, but there's real opportunity to grow into people leadership as the team scales. What you'll do - Own the daily, business-critical money movements that power our products — making sure funds land where they need to, when they need to, across multiple entities and currencies - Manage short-term liquidity so there's always enough on hand to fund settlements and meet daily obligations, without idle cash sitting where it shouldn't - Analyze and forecast cash needs through detailed bank balance monitoring and flow-of-funds analysis — turning raw account data into decisions the business can act on, including intercompany funding requirements - Support new product launches by scoping their cash flow, settlement, and account requirements early - Scale and improve the systems we already use for cash management rather than just maintaining them — building automation for balance monitoring, transfers, and forecasting that lets the processes scale efficiently - Partner with product, engineering, and finance teams to keep cash operations in step with the business as it moves and expands Skills you bring - 5+ years of experience in treasury, cash management, or corporate banking operations - Experience managing cash positioning and forecasting across multiple entities and currencies - Strong understanding of banking infrastructure — account structures, payment rails, and settlement processes - Experience leading or contributing to the automation of manual treasury or cash processes - Advanced Excel and SQL skills, with comfort working with large datasets to drive forecasting and analysis - Experience working cross-functionally with product, engineering, or finance teams to support new product launches - Clear communication skills — you can explain cash and treasury mechanics to people who don't work in treasury Nice to have - Experience in fintech or a regulated financial services environment - Familiarity with treasury management systems (TMS) or ERP treasury modules - Exposure to building automation tools using scripting or low-code platforms (e.g., Python, SQL-based workflows) - Experience with intercompany funding structures or multi-entity treasury operations - Prior experience supporting new product launches from a cash or liquidity perspective WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: San Francisco, CA 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 Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. We're seeking exceptional researchers with deep expertise in one or more of these areas. In this role, you'll work at the intersection of frontier AI and your field, developing rigorous methods to measure and improve Claude's performance on complex engineering and scientific tasks. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and to test Claude's designs against real-world feedback. Key responsibilities Design and implement evaluation methodologies for assessing AI model capabilities relevant to engineering and applied science research and applications Design realistic tasks and training environments, and curate data from your field Develop and validate simulations and computational tools for your field, and calibrate them against real-world data Work with industry partners, manufacturers, and labs to build and test what Claude invents, designs, and engineers, and bring that real-world feedback into evaluation and training Think through how Claude's engineering capabilities can permeate the real world: where they can have the most impact across industry and research, and what it takes to get them adopted Advise the team on which problems, tools, and workflows matter most in your field Collaborate with domain experts and partners to establish benchmarks and gather high-quality data for training Translate between engineering domain knowledge and machine learning objectives Minimum qualifications Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, structural, industrial, or manufacturing engineering; applied physics; computational simulation Experience with AI or machine learning, whether evaluating and training AI systems or applying these tools in your field Track record of taking work from concept through to a working result, such as a product, process, device, experiment, or tool Hands-on proficiency with the computational design, analysis, or simulation tools used in your field Basic programming proficiency, for example in Python Ability to navigate ambiguity and develop solutions in a rapidly evolving research environment Ability to work independently while collaborating closely with cross-functional teams, and to explain your field clearly to people outside it Commitment to using AI to accelerate engineering and scientific progress while maintaining high ethical standards Preferred qualifications 5+ years of hands-on R&D or industry experience in an engineering or applied science discipline Ph.D. in an engineering or applied science field, or equivalent industry experience Industry experience in product design and manufacturing, or in developing engineering or scientific simulation software Breadth across more than one discipline, or across several stages of the path from design to production Familiarity with modern AI model training methods Track record of building high-fidelity solvers or simulation engines that were validated against real-world data and used in practice Experience working with manufacturers, vendors, contract research organizations, or academic labs Experience managing data pipelines and working with large-scale technical datasets Publications, patents, or contributions to open-source scientific or engineering software 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: $320,000 — $405,000 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: 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 Anthropic's sales organization is growing quickly across segments, industries, and geographies, and enablement needs to be reinvented to keep up. We are looking for a Head of Enablement Experience & Innovation to build the next generation of enablement with a Claude-first approach: hyper-personalized for each seller, delivered in the flow of work, and measured by what it changes. Most sales enablement still runs on courses, content libraries, and one-size-fits-all programs. You will start instead from what Claude makes possible: understanding what sellers need, designing experiences around their role, tenure, and live deals, and bringing the right guidance into the tools where they already work. This is a rare chance to define what enablement looks like when it is built on the product we sell. This is a leadership role for an innovator with deep expertise in using AI for enablement and a background in user experience design, product management, or workflow design. You have shipped experiences at scale and can show that people used them and performed better. You will start as an individual contributor, set direction, and build a team over time, staying close enough to the field to know when something is not working. Key responsibilities: Set the vision and roadmap for a Claude-first approach to enablement, deciding what to build, what to retire, and how enablement is designed and delivered Use Claude to tailor learning to each seller's role, tenure, and live deals Design workflows that bring guidance to sellers in the tools they already use, at the moment they need it Lead the learning platform, enablement tools, playbooks, and content hub, using Claude to keep knowledge accurate, current, and easy to find Run enablement like a product: lead discovery with sellers and sales leaders, work with engineering and design, and test on live deals before scaling Track adoption and the impact on ramp time, win rate, and attainment, and act on what the data shows Partner with Sales Leadership, Revenue Operations, Product, Marketing, and the wider Sales Enablement team so that programs, systems, and workflows feel like one experience Run fast experiments with new Claude capabilities, scale what works, and set clear standards for responsible AI use and data governance in enablement Minimum qualifications: Deep, hands-on expertise using AI to design and deliver enablement or learning at scale, such as personalized learning, AI coaching, or guidance in daily workflows Background in user experience design, product management, or workflow design, applied to enablement, learning, or sales tools Have led the design and launch of a product or learning experience at scale, and can show how adoption and results changed Have worked directly with senior sales leaders and frontline managers to secure sponsorship for change, including holding a position constructively when they disagreed Have tested and improved programs with sellers and sales leaders before scaling them Have defined and tracked adoption and impact measures that go beyond completion and satisfaction scores Have run programs across multiple geographies, segments, or roles Preferred qualifications: Experience building and leading a team of senior enablement professionals, and comfort delivering hands-on until you have one A clear, experience-based view of why learning programs often fail to change how sellers work Prior experience in a sales or customer-facing role Experience at an AI company or an enterprise technology company during a period of rapid sales team scaling Hands-on experience building with Claude or similar AI tools to personalize learning or improve how people find knowledge Clear written and spoken communication with executive audiences Experience selecting and running learning platforms and enablement tools 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: $310,000 — $360,000 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: San Francisco, CA 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 Anthropic is seeking an Internal Communications Manager to serve as a dedicated communications partner to our Product organization. Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners,  anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence. But the heart of the job is more creative and will require you to find ways to connect the rest of the company to some of the most consequential and least visible work at Anthropic, and making the line between that work and our mission clear and strong. Product is the bridge between what our models can do and what our customers’ needs today. Capabilities are improving constantly, and priorities shift as the models improve, and launches can come together very quickly as a result. For much of the company, it can be hard to keep up with what's shipping, what's changing, and why it matters. Your job is to help people make sense of that pace by understanding the work, and the people doing it, well enough to tell its story credibly, and to help its leaders communicate with clarity and candor as the company scales. Responsibilities Own the internal communications strategy for your portfolio, becoming an expert in the team's work and a trusted member of its leadership team Serve as a hands-on advisor to executives - help them think through what to say and when, draft communications in their voice, and give them honest counsel, especially in moments when that’s challenging or uncomfortable. Translate deeply technical work into narratives that land with employees across every function, without losing the substance Get creative about how you connect people to the work - don't default to creating a slide deck when a demo or something no one has tried yet would land better Anticipate communications needs before they arrive (e.g. launches, incidents, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them Plan and execute internal fora like all-hands and AMAs with operational excellence Exercise sound judgment with sensitive material, especially where security work requires care about what is shared, with whom, and when Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you Have 8–12 years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) Are an exceptional writer with a particular talent for distilling technical decisions and cross-functional projects into simple, compelling narratives, and can write convincingly in someone else's voice Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear Can embed credibly with engineers, PMs, and researchers. You are curious about how technical systems work, ask good questions, and earn the trust of people who may be skeptical of comms by default See the big picture and are able to connect individual team updates to company strategy and mission Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also Have experience communicating about product ,engineering, security, infrastructure, or other  technical domains Have worked at AI companies, frontier tech companies, or other organizations where the technical work moves faster than most people can follow Have built or run internal communications programs during periods of rapid organizational growth 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: $265,000 — $295,000 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: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Core is the engineering organization building the shared capabilities, including search, AI, and customer intelligence, that every product across the Fanatics ecosystem builds on. We are seeking an Engineering Manager to lead the team that owns Search and Consumer AI. This leader will own some of the most leveraged surfaces we build: how fans find what they’re looking for, how AI shows up inside our apps, and how AI powers an excellent customer experience. You will lead a team of software engineers spanning two closely connected charters: Consumer AI: customer support AI, including LLM-powered assistants, conversational analytics, sentiment analysis, predictive troubleshooting, and the tooling that lets customer success teams act on AI-generated insights; and (2) embedded AI experiences in the fan journey, such as AI commentary, recommendations, summaries, and in-app assistance. Search: native search, including query understanding, relevance and ranking, autocomplete, and personalization; and (2) AI search, including natural-language and conversational search that lets fans ask for what they want in their own words and get answers, not just results. Success in this role requires strong partnership with Product, Data Science, Customer Operations, and product teams across the ecosystem to shape the roadmap, make smart trade-offs, and deliver outcomes fans feel. You’ll work on complex, high-scale challenges as part of a team that values innovation, collaboration, and excellence. Responsibilities Delivery & Ownership Lead the team to deliver against commitments across Search and Consumer AI, owning delivery plans end to end: scope and sequence work, remove blockers, and manage risk. Set a high bar for reliability, performance, and relevance quality, with observability in place for AI and search services. Ensure the team’s work meets Fanatics standards for data governance, security, compliance, and responsible AI. Own on-call, incident response, and operational health for the team’s systems. Strategy & Roadmap Partner with Product and engineering leadership on planning and roadmap building, using technical insight and fan impact to influence priorities. Connect day-to-day execution to team strategy and Fanatics business goals so engineers understand why their work matters. Partner with product teams across the ecosystem to embed AI experiences into their surfaces, agreeing on shared ownership, interfaces, and quality bars. Guide how LLMs and ML models are evaluated, integrated, and rolled out in production. Communication & Collaboration Coordinate across engineers, adjacent teams, and cross-functional partners to drive end-to-end delivery. Represent the team’s plans, progress, and risks in planning and review forums. Keep the team informed on goals, trade-offs, and decisions, and create space for two-way feedback. People & Ways of Working Hire, onboard, and grow a high-performing team; give candid, timely feedback and invite the same. Mentor engineers on craft, ownership, and collaboration, and support their career growth. Build team processes (planning, reviews, retros, experimentation) that help the team learn fast and ship reliably. Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building. Qualifications We value aptitude over experience, but here are some key skills that will make you successful on this team: 1-3+ years managing a software engineering team, or significant tech-lead experience with people-leadership responsibilities, delivering complex, high-scale systems. Experience in a Java / AWS ecosystem; familiarity with AWS Bedrock or equivalent managed AI services preferred. Experience shipping consumer-facing AI/ML or NLP features to production, including integrating LLMs and building the pipelines and evaluation practices that keep them reliable. Strong understanding of search, discovery, or relevance systems, including how traditional search and LLM-based approaches complement each other. Strong technical judgment and clear, confident communication with engineers, Product partners, and leadership. Proven ability to mentor engineers and build a healthy, high-performing team culture. Preferred Background in customer support AI or embedded consumer AI experiences (assistants, conversational analytics, AI commentary, recommendations). Familiarity with Kafka, Airflow, dbt, OpenSearch, Kotlin, and Salesforce. Experience building shared platforms consumed by multiple product teams. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $190,000 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Pennsylvania; Massachusetts; Maryland; Connecticut; New Jersey; Delaware; Rhode Island Workplace: remote Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide. We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us. Your job has four parts: Qualify those leads quickly. Run discovery with buyers at banks, insurers and life sciences companies. Scope the work with our architects. Close. What you'll do: Pick up new leads as they arrive, decide which to pursue, and be able to explain why. Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path. Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses. Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Translate Anthropic's product roadmap and partnership incentives into the client propositions. Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews. Keep the CRM current and forecast your deals accurately. Bring buyer objections and patterns from each industry back to leadership and marketing. Travel for client meetings, up to 30% of your time. What You Need: 2+ years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took. OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors. Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms. Experience selling services engagements or complex B2B deals with several stakeholders. Clear written and spoken communication with director-, VP- and C-level buyers. Comfort handling a steady volume of leads and choosing where to spend your time. Strong plus: Experience selling AI/ML, data or cloud services. Experience working partner-referred leads from Anthropic, AWS, GCP or Azure. Why this role is worth your time: Leads arrive every day, so your time goes into closing rather than prospecting. You learn enterprise AI consulting sales in two regulated industries. You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations. The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production. Work at the intersection of two AI partnerships: Anthropic and AWS. High-impact role with direct visibility to leadership. Compensation and benefits: Base $90–120K + commission, OTE range $140–170K. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. B2B contract model or full-time model. Unlimited vacation policy. Generous health, vision, and dental insurance, and life insurance. 401(k) matching plan. Our process: A 30/45-minute call with our recruiter. An interview with the AE about a deal you closed. An interview with the Chief Commercial Officer. An interview with the CEO.

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide. We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us. Your job has four parts: Qualify those leads quickly. Run discovery with buyers at banks, insurers and life sciences companies. Scope the work with our architects. Close. What you'll do: Pick up new leads as they arrive, decide which to pursue, and be able to explain why. Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path. Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses. Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Translate Anthropic's product roadmap and partnership incentives into the client propositions. Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews. Keep the CRM current and forecast your deals accurately. Bring buyer objections and patterns from each industry back to leadership and marketing. Travel for client meetings, up to 30% of your time. What You Need: 2+ years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took. OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors. Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms. Experience selling services engagements or complex B2B deals with several stakeholders. Clear written and spoken communication with director-, VP- and C-level buyers. Comfort handling a steady volume of leads and choosing where to spend your time. Strong plus: Experience selling AI/ML, data or cloud services. Experience working partner-referred leads from Anthropic, AWS, GCP or Azure. Why this role is worth your time: Leads arrive every day, so your time goes into closing rather than prospecting. You learn enterprise AI consulting sales in two regulated industries. You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations. The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production. Work at the intersection of two AI partnerships: Anthropic and AWS. High-impact role with direct visibility to leadership. Compensation and benefits: Base $90–120K + commission, OTE range $140–170K. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. B2B contract model or full-time model. Unlimited vacation policy. Generous health, vision, and dental insurance, and life insurance. 401(k) matching plan. Our process: A 30/45-minute call with our recruiter. An interview with the AE about a deal you closed. An interview with the Chief Commercial Officer. An interview with the CEO.