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Location: Remote, France; Spain, remote; Remote, United Kingdom; Portugal, remote; Remote, Germany Why work at Higgsfield AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. Who we are looking for Everyone at Higgsfield is an A-player. We're looking for teammates who bring: - High energy, strong commercial instincts, and flawless execution. - Ownership and accountability to drive deals end-to-end. - The ability to build trusted relationships with partners, agencies, and enterprise clients. - Resilience in high-pressure situations and an always-on mindset. - A balance of sharp analytical skills and natural people intuition. - Hunger to win and the grit to scale a B2B SaaS business globally. About the role This is the GTM Account Executive role for Europe. You will be our first dedicated seller for the region, responsible for turning Europe's agencies, brands, production companies and media groups into Higgsfield customers: sourcing and closing the first European deals yourself and owning the accounts after signature. You work with our Almaty-based GTM team, our US-based Enterprise team, and directly with company leadership. What you will work on - End-to-end sales execution: identify, pitch, negotiate, and close deals with European agencies, brands and B2B partners, from first touch through signature. - Open the market: build a named-account plan for Europe and work it, starting with advertising and creative agencies, consumer brands, production companies, broadcasters and streamers. - Convert platform demand: turn high-usage European creators, teams and agencies already on Higgsfield into team and enterprise accounts. - Account management: own relationships post-sale, ensuring adoption, expansion, and long-term success. - Partner routes to market: identify and activate European agencies, production studios and resellers that bring us customers we would not reach one deal at a time. - Customer success: act as the voice of the European customer internally, ensuring feedback flows into product and engineering. - Processes at scale: build the repeatable playbook that the next European hires will follow. Your must haves (You don't need to meet every single requirement to be a strong candidate. If you're excellent in a few of these areas and eager to grow, we'd still love to hear from you.) - Revenue track record: demonstrable history of consistently achieving and exceeding multi-million dollar revenue targets, with deals you sourced and closed yourself. - Proven experience in B2B SaaS sales and/or account management with measurable results. - Experience selling into advertising agencies, brand marketing organisations, or media and entertainment companies in at least two European markets. - An existing network of senior buyers in European agencies, brands or media groups. - Excellent English communication skills, both written and spoken. A second major European language is a strong plus. - Strong negotiation, presentation, and closing skills. - Strong analytical skills with the ability to leverage sales data and metrics for decision-making. - Ability to work in a high-growth startup environment. Nice to haves - Big3/Big4 consulting experience or equivalent top-tier professional background is a strong plus. - Experience selling AI, GenAI, or ML products. - Experience in early-stage, fast-scaling startups. - Exposure to upselling, cross-selling, and customer success strategies. - Relationships in European broadcasters, streamers or sports media. - Existing network of enterprise clients or partners in SaaS/AI ecosystems. The deal - Competitive base salary in USD. - Equity participation through the company's stock option program. - Based in Almaty (on-site; we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in) or remote in Europe, with regular travel across the region and to Almaty. - Our GTM team works six days a week and overlaps with US hours. Expect the same pace wherever you are based. - Full-time position. - Opportunity to become the cornerstone of Higgsfield's European sales engine.

Location: Redwood City, CA, United States, San Francisco, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box Consulting is a fast growing team helping customers rapidly deploy, maximize value, and deeply integrate Box into their enterprises. Your proven ability to work creatively and analytically on complex, multi phase engagements with the most strategic of customers will help you build, manage, and scale your team in highly engaged environment.  Excellent communication, leadership, and management skills enable you to grow the team's professional development while staying highly engaged with customers - an opportunity for your team to learn the depth of your delivery expertise on the job. Box is growing fast. Real fast. Every business in the world is looking to modernize the way they work. As the leader in intelligent content management, Box is the only company that can help enterprises transform how people work together.  Your years of experience with project management and business process design, combined with expert knowledge of internal processes and related systems, empower you to be an influential leader within Box Consulting and more broadly across all of Box. WHAT YOU'LL DO As a Manager, you will be scaling a world-class team, working closely with our customers as a thought leader, shape & evolve consulting delivery offerings, and drive new business with your sales partners.  You will bring the energy and expertise to inspire our customers and influence Box Consulting's strategic direction, building a strong feedback loop between customer work and how we evolve our delivery methods.  You will lead teams of varying levels of experience, thrive in dynamic & cross-functional environments, and enjoy achieving results thru engaging directly with our customers. Ultimately, you’re comfortable in a player-coach role, helping up-level your team to improve how we work through stronger discovery, faster iteration, and sharing approaches that work across the Box Consulting organization. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 6+ years service delivery experience in technology You have solid people management experience, including hiring, onboarding as well as cultivating professional development opportunities as part of performance management functions You lead through others: develop and coach a customer-facing team, set a high bar for delivery, and help consultants make sound decisions on complex engagements You have led transformation work through execution and understand how a customer works today; can help the team spot where AI and workflow redesign could improve the process and guide them on planning and execution through your sponsorship A firm understanding of how services and project delivery impacts financial performance with regard to individual utilization and revenue realization Accurately forecast and effectively manage resources against revenue, pipeline, and bookings targets Assess business needs, document requirements, provide estimated effort and create contracts (SOWs, Change Orders, etc.) Works autonomously with limited guidance and a strong sense of urgency for customer issues Work closely with sales teams and industry managing directors to effectively develop clear and successful GTM strategy Apply leadership acumen and operational excellence to sales and pipeline tracking, forecasting, and closing Pipeline generation and qualification, employing varied techniques, demonstrating creative, resourceful and committed approach Regularly interacts with and influences senior management, other functional areas such as Customer Success, Support, Sales and/or external parties Focuses on maximizing customer delight and outcomes in all conversations across Box; consistent advocacy of customer experience cross functionally with all levels of leadership PREFERRED SKILLS 2+ years of management experience 2+ years of consulting sales experience Strong applied AI and FDE experience is a plus, especially experience applying AI to real customer workflows Experience with consumption-based business models with understand of how usage connects to customer value, adoption, retention, and expansion Experienced working with SI and Reseller partners to co-sell services Direct familiarity with a quota-carrying role, either in a management or individual contributor capacity Background in SaaS, ECM technologies, AI or Software engineering Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-HYBRID Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $146,500 — $183,000 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $146,500 — $183,000 USD

Location: Remote - US 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 Principal Manager, Procurement Enablement & Contingent Workforce About the job Twilio is growing rapidly and seeking a Principal Manager, Procurement Enablement & Contingent Workforce to drive Procurement and contingent workforce process transformation. This high visibility role will transform our processes from manual entries to simplified agentic enabled processes. This role will take a long term vision to ensure we’re building our next generation of scalable processes as Twilio’s growth accelerates. Additionally, this role will be responsible for Procurement related systems, Procurement Compliance, and driving cross functional collaboration between multiple S2P teams. Responsibilities In this role, you’ll: Lead a team of 4 Procurement Enablement and Contingent Workforce (ITV) program managers who will work on Procurement and Contingent Workforce process governance, support, enablement, process improvement, and redesign. Manage all Procurement related systems and enhancements including Oracle P2P, Ironclad CLM, Pursuit RFP, Airtable Savings Tracker, and AI tools. Deliver on Procurement intake transformation including Agentic Intake Orchestration by designing and deploying next-generation, AI-driven conversational and autonomous agentic intake systems that replaces static forms. Drive Agentic in-take process to be fully comprehensive through multiple system integrations with ability to provide a guided buying experience, provide real time status updates, and provide renewal notifications and actions to both sourcing and business owners. Redesign the end to end Contingent Workforce process to provide hiring managers a simpler and faster hiring journey for Contingent Workers that reduces hand offs between the Procurement and Contingent Workforce program team. Oversee the Contingent Workforce program and governance including managing the VMS and its global expansion. Develop the global Contingent Workforce supply chain through identifying and driving a cohesive supply chain strategy and enabling hiring managers to find Contingent Workforce talent globally. Lead other S2P process enhancements and be the glue that drives cross functional collaboration between AP, Accounting, Security, Privacy, Audit, IT, and other functions. Responsible for driving Procurement Policy simplifications and enhancements. Lead cross functional training and enablement for hiring managers globally and also for all Procurement stakeholders. Track and manage preferred supplier list; identify then partner with sourcing on areas to increase preferred supplier usage. Lead development of an external supplier landing page that highlights supplier FAQ, how to navigate supplier portal, an invoice lookup tool, Twilio code of conduct, Sustainability expectations etc. Partner with Twilio sustainability team to lead on reporting of supplier GHG emissions. Drive simplification of our POC and NDA processes into a centralized agentic workflow. Partner with Procurement Legal to ensure contracting requirements and proper positioning of paper are built into any new or redesigned process — including agentic intake, guided buying, and POC/NDA workflows — so process speed doesn’t come at the cost of downstream legal or compliance rework. Partner with the Procurement Operations and Compliance team to implement an automated KYS screening for both vendors and carriers globally. 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: 12+ years of experience of managing procurement systems, S2P processes, and ITV/contingent workforce programs. Familiarity or participation in an ERP redesign with advance knowledge of Oracle Cloud Procurement. Strong understanding or experience in implementing Procurement agentic solutions that result in simpler and leaner processes. Familiarity or participation in an Contingent Workforce redesign with knowledge of Beeline or other VMS systems. Track record of successful cross-functional leadership, collaboration, and relationship building. Knowledgeable in requirements gathering, analysis, design and implementation methodologies Pragmatic and collaborative, able to work independently to ensure execution and on time delivery of programs to achieve objectives in procurement efficiency taking into consideration upstream/downstream partner processes, systems, security standards and compliance requirements. Solid understanding of contracting fundamentals and how contracting fits within the S2P process, with the ability to design or redesign intake, policy, and workflow changes that preserve proper contracting positioning rather than treating it as an afterthought. Tech savvy change agent who understands procurement and finance vendor landscape, tool capabilities/gaps and possible solutions. Knowledge of Netsuite, Coupa, or Oracle Cloud is strongly advantageous. Strong ability to manage multiple projects concurrently with sound business acumen. Excellent communication skills, able to communicate clearly and succinctly in writing, presentations and verbally to multiple levels within the organization. Strong project management skills (certifications a plus), the ability to track and manage complex processes, and a desire to lead teams and projects Bachelor's Degree or equivalent experience Desired: Experience in the Technology industry and operating within hyper-growth environments, with a proven ability to build scalable sourcing processes and systems from the ground up. Proven track record of cultivating collaborative, high-trust partnerships across matrixed internal business units and external vendor ecosystems to drive shared strategic outcomes. Demonstrated experience scaling, structuring, and developing a ITV/Contingent Workforce and procurement Process, and developing process change with Agentic workflows. Lean Six Sigma or similar process improvement experience. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately <10%> travel is anticipated to help you connect in-person in a meaningful way. 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. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00-$176,900.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00-$187,300.00 Based in the San Francisco Bay area, California: $166,400.00-$208,000.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 11/20/26, but may change based on business needs. 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: Los Angeles, USA As Technical Producers at Riot, we lead passionate technical teams to create products and experiences that achieve maximum developer, operator, and player value. We guide development, clear blockers, and push projects across the finish line while ensuring our teams are sustainable and foster a collaborative environment. As a Senior Technical Producer on the Infrastructure Platform team, you'll drive direction and delivery across the platforms the rest of Riot ships on: live game services in every region, internal tools Rioters build to do their jobs, and a fast-growing set of workloads. Much of the work ahead is extending those platforms to support emergent or underserved use cases, and you'll help decide what that should look like. You'll partner closely with engineering leads across Infrastructure and the teams across Riot who depend on what we deliver. Responsibilities: Partner with engineering managers and technical leads to develop the technical product vision, strategy, and roadmap for your area Own product requirements for your area, defining what to build, what success looks like, and how it will be measured. Partner with engineering to evaluate designs against user needs, assess trade-offs, and pressure-test implementations Manage delivery plans, risks, blockers, dependencies, tradeoffs; maintain clear stakeholder communication Lead the breakdown and execution of multi-month work efforts spanning multiple teams within an initiative Partner with teams to improve work systems, practices, delivery rituals, and goal setting; strengthen product feedback loops to clarify decisions, strengthen delivery predictability, and create a more consistent customer experience Coordinate or facilitate day-to-day team rituals where needed within assigned scope Assess team health, composition, and capacity to ensure the team is set up for success Drive difficult technical tradeoffs with technical leaders, and articulate and advocate those tradeoffs to non-technical stakeholders Serve as a key point of contact for customers in your assigned scope; engage them to understand needs and coordinate new-work intake Prioritize customer requests in partnership with relevant engineering and technical leads for your assigned scope Own an integrated view of delivery status across your assigned scope, tracking progress against goals and milestones, and contribute to consolidated reporting for relevant stakeholders, adapting updates to the audience and reporting needs Use customer feedback, product signals, test results, and operational data to validate problems and drive priorities Monitor product and service health, including user experience, cost, usage, performance, and operational effort, and help turn signals into improvements Mentor other producers and contribute ideas beyond your immediate ownership across teams Required Qualifications: 6+ years of experience as a Technical Producer, Technical Product Manager, Development Manager, or a relevant role on medium to large technical teams Bachelor's degree in computer science, engineering, or equivalent practical experience Experience applying Agile and Lean development processes at scale, and contextually adapting a broad set of development processes Experience independently leading complex technical programs/projects with multiple teams, diverse stakeholders, or dependencies Broad understanding of technical systems across multiple related areas, with the ability to identify and articulate multiple solutions and their tradeoffs Experience defining product strategy, success metrics, and roadmap priorities for technical platforms, internal tools, or operational capabilities Ability to understand technical requirements and how technical choices affect reliability, operations, and developer and player experience Strong understanding of product management and the ability to find balanced solutions across technical, developer, and delivery constraints Ability to set product and technical requirements within a defined space and evaluate designs or architecture against those requirements Experience owning a roadmap, product plan, or execution plan through more than one stage of the product lifecycle, including launch and post-launch improvement Ability to communicate complex topics clearly to audiences with little or no context Proficiency with Jira Desired Qualifications: Familiarity with Atlassian tools, including Jira Product Discovery and Jira Plans Experience building business cases and funding asks for technical investment Experience with infrastructure, cloud, developer tooling, or live-service products Experience improving developer productivity, operational quality, or self-service for a central platform Experience applying data, experimentation, automation, or AI-enabled workflows to deliver customer value or improve efficiency Experience working across infrastructure and game teams in a globally distributed, high-scale, or live-service environment For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote (United Kingdom) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're looking for an Integrated ABM Campaign Manager to develop and scale creative, targeted campaigns that engage priority accounts and drive pipeline across our Enterprise and Mid-Market segments. You'll own the strategy and execution of 1:1 and 1:few ABM campaigns, bringing together paid advertising, personalized content, direct mail, gifting, and coordinated Sales outreach to reach the right people at the right accounts. This is a hands-on role where you'll have the freedom to test new ideas, build integrated programs, and use data to understand what's working. You'll also partner closely with our wider ABM, Sales, and Partner Marketing team to connect campaigns with account priorities, strategic experiences, and partner-led opportunities. Key Responsibilities Own the strategy, planning, execution, and optimization of integrated ABM campaigns across Enterprise and Mid-Market audiences. Develop campaign audiences, messaging, channel plans, budgets, and success metrics based on Sales priorities and account insights. Manage targeted paid advertising, particularly LinkedIn, alongside personalized landing pages and other digital ABM experiences. Own direct mail, gifting, and scalable prospect engagement programs, including gifting program workflows. Partner with Sales and GTM Operations to identify target accounts, build contact lists, and activate campaigns. Develop coordinated Sales outreach plays and sequences with the Sales Enablement Lead to support campaign engagement and follow-up. Work with Product Marketing and Content to develop relevant messaging and creative for priority audiences. Collaborate with our wider Enterprise ABM, Events, and Partner Marketing teams on account-specific activations, event invitations, and joint campaigns. Proactively identify new campaign opportunities based on engagement signals, account intelligence, and business priorities. Track performance, test new approaches, and optimize for account engagement, meetings, pipeline creation, and progression. What We Are Looking For 5+ years of B2B marketing experience, with a background in building ABM campaigns for both net-new acquisition and customer expansion. Experience independently developing and executing multi-channel campaigns from strategy through measurement. Hands-on experience with LinkedIn advertising, audience segmentation, and marketing automation. Hands-on experience with personalized landing page platforms like Userled or Mutiny. Experience with direct mail, gifting, personalization, or other creative account engagement tactics and platforms like Reachdesk or Sendoso. Strong understanding of how marketing campaigns support Sales engagement and pipeline generation. Comfortable working with data, testing new ideas, and using performance insights to improve results. Organized, creative, and comfortable managing multiple campaigns and stakeholders at once. Nice to Have Experience marketing to technical or Enterprise B2B audiences. Familiarity with Salesforce, HubSpot, LinkedIn Campaign Manager, Clay, or Common Room. Experience with partner or co-marketing campaigns. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. UK Pay Range £93,220 — £116,920 GBP What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're looking for an Integrated ABM Campaign Manager to develop and scale creative, targeted campaigns that engage priority accounts and drive pipeline across our Enterprise and Mid-Market segments. You'll own the strategy and execution of 1:1 and 1:few ABM campaigns, bringing together paid advertising, personalized content, direct mail, gifting, and coordinated Sales outreach to reach the right people at the right accounts. This is a hands-on role where you'll have the freedom to test new ideas, build integrated programs, and use data to understand what's working. You'll also partner closely with our wider ABM, Sales, and Partner Marketing team to connect campaigns with account priorities, strategic experiences, and partner-led opportunities. Key Responsibilities Own the strategy, planning, execution, and optimization of integrated ABM campaigns across Enterprise and Mid-Market audiences. Develop campaign audiences, messaging, channel plans, budgets, and success metrics based on Sales priorities and account insights. Manage targeted paid advertising, particularly LinkedIn, alongside personalized landing pages and other digital ABM experiences. Own direct mail, gifting, and scalable prospect engagement programs, including gifting program workflows. Partner with Sales and GTM Operations to identify target accounts, build contact lists, and activate campaigns. Develop coordinated Sales outreach plays and sequences with the Sales Enablement Lead to support campaign engagement and follow-up. Work with Product Marketing and Content to develop relevant messaging and creative for priority audiences. Collaborate with our wider Enterprise ABM, Events, and Partner Marketing teams on account-specific activations, event invitations, and joint campaigns. Proactively identify new campaign opportunities based on engagement signals, account intelligence, and business priorities. Track performance, test new approaches, and optimize for account engagement, meetings, pipeline creation, and progression. What We Are Looking For 5+ years of B2B marketing experience, with a background in building ABM campaigns for both net-new acquisition and customer expansion. Experience independently developing and executing multi-channel campaigns from strategy through measurement. Hands-on experience with LinkedIn advertising, audience segmentation, and marketing automation. Hands-on experience with personalized landing page platforms like Userled or Mutiny. Experience with direct mail, gifting, personalization, or other creative account engagement tactics and platforms like Reachdesk or Sendoso. Strong understanding of how marketing campaigns support Sales engagement and pipeline generation. Comfortable working with data, testing new ideas, and using performance insights to improve results. Organized, creative, and comfortable managing multiple campaigns and stakeholders at once. Nice to Have Experience marketing to technical or Enterprise B2B audiences. Familiarity with Salesforce, HubSpot, LinkedIn Campaign Manager, Clay, or Common Room. Experience with partner or co-marketing campaigns. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $118,000 — $148,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're looking for an Integrated ABM Campaign Manager to develop and scale creative, targeted campaigns that engage priority accounts and drive pipeline across our Enterprise and Mid-Market segments. You'll own the strategy and execution of 1:1 and 1:few ABM campaigns, bringing together paid advertising, personalized content, direct mail, gifting, and coordinated Sales outreach to reach the right people at the right accounts. This is a hands-on role where you'll have the freedom to test new ideas, build integrated programs, and use data to understand what's working. You'll also partner closely with our wider ABM, Sales, and Partner Marketing team to connect campaigns with account priorities, strategic experiences, and partner-led opportunities. Key Responsibilities Own the strategy, planning, execution, and optimization of integrated ABM campaigns across Enterprise and Mid-Market audiences. Develop campaign audiences, messaging, channel plans, budgets, and success metrics based on Sales priorities and account insights. Manage targeted paid advertising, particularly LinkedIn, alongside personalized landing pages and other digital ABM experiences. Own direct mail, gifting, and scalable prospect engagement programs, including gifting program workflows. Partner with Sales and GTM Operations to identify target accounts, build contact lists, and activate campaigns. Develop coordinated Sales outreach plays and sequences with the Sales Enablement Lead to support campaign engagement and follow-up. Work with Product Marketing and Content to develop relevant messaging and creative for priority audiences. Collaborate with our wider Enterprise ABM, Events, and Partner Marketing teams on account-specific activations, event invitations, and joint campaigns. Proactively identify new campaign opportunities based on engagement signals, account intelligence, and business priorities. Track performance, test new approaches, and optimize for account engagement, meetings, pipeline creation, and progression. What We Are Looking For 5+ years of B2B marketing experience, with a background in building ABM campaigns for both net-new acquisition and customer expansion. Experience independently developing and executing multi-channel campaigns from strategy through measurement. Hands-on experience with LinkedIn advertising, audience segmentation, and marketing automation. Hands-on experience with personalized landing page platforms like Userled or Mutiny. Experience with direct mail, gifting, personalization, or other creative account engagement tactics and platforms like Reachdesk or Sendoso. Strong understanding of how marketing campaigns support Sales engagement and pipeline generation. Comfortable working with data, testing new ideas, and using performance insights to improve results. Organized, creative, and comfortable managing multiple campaigns and stakeholders at once. Nice to Have Experience marketing to technical or Enterprise B2B audiences. Familiarity with Salesforce, HubSpot, LinkedIn Campaign Manager, Clay, or Common Room. Experience with partner or co-marketing campaigns. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $158,120 — $198,320 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Canada What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Senior Manager, Community - Field Location: Remote US Compensation Range: $94,400 to $118,000 base plus bonus and equity What You'll Do: You are the person who brings Huntress to life in the room. You travel to roadshows, tradeshows, and other events, meet people who didn't plan to meet you, and turn genuine conversations into momentum for the business. Give More Than We Take shows up in the way you create value first, listen closely, and build relationships that feel human rather than transactional. You are Outcome-Obsessed about creating meaningful engagements at events from the moment you leave your house to the moment you return, knowing that booth hours are just the tip of the iceberg. You make sure the right prospects receive thoughtful follow-up, account executives get the context they need, and qualified conversations become fully booked demo opportunities. You take ownership of the details, spot what is missing, and use sound judgment when the process needs to bend to serve the customer and the team. Responsibilities: Travel to assigned roadshows, tradeshows, and other events up to 60% of the time while representing Huntress with energy, professionalism, and a clear understanding of the audience. Drive meaningful traffic to the Huntress booth with pre-event outreach, and by starting conversations, engaging attendees, and creating reasons for the right people to stop and learn more. Execute on-site activations and feet-on-the-street account-based marketing activities as directed by your manager. Build genuine relationships with prospects and partners, in transit, in hallways, over drinks, over dinner, at the booth, at event receptions and parties. Wherever the MSPs are, that’s where you’ll be found. Drive interest through thoughtful conversation, and book demos at in-person events. Manage event follow-up and relationship progression so account executives receive timely context, clear next steps, and strong opportunities to pursue. Use AI tools to research target accounts, prepare for conversations, organize event notes, and draft timely follow-up while applying sound judgment to the final work. What You Bring to the Team: Experience engaging prospects at tradeshows, roadshows, conferences, or other in-person events is valuable. You are curious, self-starting, eager to learn, driven, and comfortable taking initiative without waiting for perfect instructions. You can engage strangers naturally, make small talk that leads somewhere useful, and build relationships without making the interaction feel transactional. You are travel-ready and comfortable working in environments that require frequent movement, quick judgment, and consistent energy. You are detail-oriented and able to follow a process while recognizing when the situation calls for a thoughtful deviation. You use AI to work faster and smarter in day-to-day preparation, research, and follow-up, with good judgment about accuracy, privacy, and when human context matters most. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit small businesses. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: 2405 Satellite Boulevard Suite 200, Duluth, GA 30096 Come join our team! There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen. Headquartered in San Francisco and founded in 2007, our company has over 3,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees. Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team! LOCATION: Duluth, Georgia, hybrid role- 3 days a week in the office. JOB OVERVIEW: The Account Manager serves as the primary day-to-day contact for employee benefits clients, delivering exceptional service and support throughout the client lifecycle. This role partners closely with Client Executives, carriers, internal departments, and clients to ensure a seamless experience while helping clients navigate benefits administration, compliance, enrollment, billing, and employee benefits programs. What You'll Do: Client Service & Account Management Serve as the primary day-to-day contact for assigned clients and build strong, trusted relationships. Partner with clients, Client Executives, and internal teams to execute comprehensive service plans. Coordinate and support open enrollment meetings, including preparation of employee communication materials. Complete COBRA paperwork for new group implementations and renewals. Maintain ongoing client communication regarding benefit trends, legislative changes, and regulatory updates. Collaborate with compliance specialists and Client Executives to support government reporting requirements and compliance initiatives. Maintain accurate client and benefits plan information within EPIC's CRM system. Resolve enrollment, eligibility, and basic claims issues while coordinating escalated claims with the claims department. Research and resolve billing discrepancies and administrative concerns. Keep Client Executives informed of client issues, concerns, and significant events. Participate in mentorship, training, and professional development activities. Operational Excellence Work closely with Client Executives to prioritize activities and manage workflows effectively. Maintain client documentation, activity logs, and agency management system records. Communicate professionally and collaborate effectively with colleagues, clients, and carrier partners. Stay current on industry developments, market trends, product offerings, legislation, and technology advancements. Consistently project a professional and customer-focused image. What You'll Bring Working knowledge of employee benefits programs, including: Fully insured plans Self-funded plans Level-funded plans Strong proficiency with Microsoft Office applications, including Outlook, Word, Excel, and PowerPoint. Excellent organizational skills with exceptional attention to detail. Strong time management and ability to manage multiple priorities in a fast-paced environment. Ability to work independently and collaboratively within a team setting. Effective written and verbal communication skills. Experience using agency management systems, HR portals, and related technology platforms. High school diploma required; some college coursework preferred. Minimum of 2 years of employee benefits account management experience with a brokerage, consulting firm, insurance carrier, TPA, or related organization. Demonstrated ability to manage competing deadlines while maintaining a high level of service. Strong professionalism, discretion, diplomacy, and ability to handle confidential information. Licenses & Certifications Georgia or Indiana Life & Health License, or ability to obtain within 60 days of hire. Valid driver's license. COMPENSATION: The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data. WHY EPIC: EPIC has over 60 offices and 3,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer: Generous Paid Time off Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave Generous employee referral bonus program of $1,500 per hired referral Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!) Employee Resource Groups: Women’s Coalition, EPIC Veterans Group Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development Unique benefits such as Pet Insurance, Cancer Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC! EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation We’re in the top 10 of property/casualty agencies according to “Insurance Journal” To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/ . EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients. California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf . #LI-SG1 #Hybrid

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Legal Counsel, Employment to help us support a growing global team the Webflow way: moving quickly, working collaboratively, and staying thoughtful about risk. You’re a bright, pragmatic, self-motivated employment attorney with 4+ years of counseling and litigation experience at a law firm and/or in-house. You’ll use that background to give timely, practical, business-minded advice, primarily to our Employee Relations and People teams around the world, so they can do their best work without unnecessary barriers. You have experience litigating and/or counseling on compliance with federal and state anti-discrimination, harassment, and retaliation laws, ideally including analysis under California law. Prior in-house or seconded experience at a technology company is a plus, but not required. You’re an entrepreneurial, resourceful self-starter who thrives in a fast-paced, dynamic environment, builds strong relationships, and is curious about supporting a global workforce. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $158,000 - $190,000 - Zone B: $148,000 - $178,000 - Zone C: $140,000 - $168,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Associate General Counsel, Corporate As Legal Counsel, Employment, you’ll: - Give practical, day-to-day employment advice on a wide range of issues, including HR practices, performance management, terminations, leaves of absence, investigations, and accommodations. Help the business move fast while staying clear-eyed about legal risk. - Investigate and manage pre-litigation and litigation matters. Build and carry out strategies for early resolution where it makes sense, and partner with outside counsel when needed. - Interpret and advise on policies and procedures using your knowledge of state, federal, and international employment laws (e.g., FMLA, ADA, FLSA, NLRA, Title VII, and their state and international equivalents). Turn them into guidance people can actually use. - Support a global workforce with legal counsel that works across borders, cultures, and time zones. - Partner closely with Webflow’s Employee Relations and People teams on employee complaints, investigations, performance management, and accommodations. - Collaborate with the Employment Legal and People teams to build strong, scalable processes that keep us compliant with applicable state, federal, and local laws. - Track developments in employment law across U.S. jurisdictions and internationally, and spot emerging trends early so Webflow can get ahead of them. ABOUT YOU: Requirements: - 4+ years of employment law experience at a leading law firm and/or in-house, with an interest in advice and counseling - Global workforce experience is a plus, not a requirement. If you’ve supported teams across borders in-house, you’ll have a head start with a company that works across time zones and jurisdictions. - Non-negotiable requirements - Active member in good standing of a State Bar, and eligible to practice in the jurisdiction where you’re based. - J.D. from a top-tier law school. You’ll thrive as Legal Counsel, Employment if you: - Are a sharp problem-solver with sound judgment and excellent written, verbal, and interpersonal communication. You can make complex legal topics clear and useful for the business. - Think creatively and strategically on your feet. You stay steady under pressure, juggle complex workloads and shifting priorities across many stakeholders, and help teams move quickly with confidence while staying thoughtful about risk. - Are a resourceful self-starter who is driven by results, finds a path where others see a barrier, and works with Webflow’s collaborative, innovative spirit. You hold yourself to high standards and strong ethics. - Build trust with cross-functional partners across the Legal Department and the company, and be the kind of counsel teams want to bring in early. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Newstead, Australia; Brisbane, Australia About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 13,000 clients in over 150 countries. If you have a favourite team in the NBA, EPL, or NFL, there’s a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 400 people in over 35 countries, with five offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offers unparalleled insight into human movement, performance, injury risk and rehabilitation. About the role You will be the engine room of VALD’s people related operations. You will make sure every new team member, wherever they are in the world, is contracted, set up and welcomed from day one. As the engine room of the employee lifecycle, you will also ensure that day to day processes and offboarding run smoothly. You will help shape the systems that will support VALD’s growth. As the function grows, so can your role and your career. This is a full-time, permanent role, based on-site in our Newstead office in Brisbane. You will be one of the first people new team members meet, and much of the work building those relationships happens face to face. As it stands, the role is hands-on, with a large part of your day spent on administrative processes. That is also the opportunity. You will help develop the processes. You will help introduce automation and employee self-service where they make things easier, but always keeping that personal touch that makes people feel welcome and seen. What you will do Process contract requests (including updates) for new team members across Australia, the US, Canada, the UK and our international contractor network. Administer background checks, and work with immigration advisors on visa and immigration requirements. Organise onboarding schedules and travel for new starters. Liaise with IT, Payroll and other teams so every new team member is set up in accordance with standard processes from day one. Manage offboarding, including exit documentation, systems access removal and final pay coordination with Payroll. Maintain employee records, people-related reports and registers across VALD’s systems. Act as a first point of contact for employment-related enquiries from team members. Support hiring managers with job ads, interview scheduling and candidate administration in Breezy Document and continuously improve people processes, identifying opportunities for automation and self-service. About you At least 2 years of experience in an HR administration, people operations or similar role. A tertiary qualification in HR, business or a related field (or working towards one) is desirable. High levels of attention to detail. Discretion with confidential information. Self-motivated and positive, and happier jumping in to help than waiting for another team member to pick something up. Warm and approachable, and enjoy making new people feel welcome. Satisfied by quiet, behind the scenes work that sets others up to succeed. Experience with HR information systems (HRIS), payroll or applicant tracking systems (ATS) (e.g. Employment Hero, Deel, ADP, Breezy) is an advantage. Experience in a fast-growing technology company or onboarding international hires will be highly regarded. What success looks like In the first twelve months, success looks like: Every new starter, in every country, is contracted, checked and fully set up for their first day. New starters arrive knowing where to be, who they'll meet and what their first week looks like, with travel sorted where needed. Contracts, contract variations and offboarding are processed accurately and on time, with minimal rework. Background checks and visa matters are resolved before they affect start dates. Employee records, reports and registers are accurate and can be relied on. Team members get timely, accurate answers to their enquiries. People processes are documented and improved, with automation and self-service introduced where they help, so the function is ready to scale. Business leaders see you as a reliable partner in recruitment and onboarding. Why VALD? VALD’s office is a great place to be, and we have exciting benefits and perks! We value our team, and this is just a taste of what we offer: Food: On-site chefs who prepare fresh breakfast and lunch, Monday to Friday. Coffee and Drinks: On-site barista to make your coffee just as you like it. Games: Table tennis and basketball court if that’s your thing. Health and Fitness: Access to the VALD gym, remedial sports massage therapy, and subsidised physiotherapy services. End-of-Commute Facilities: Showers, lockers, bike and scooter racks. Central Location: Based in Newstead, close to public transport. Strong Culture: A culture filled with a friendly, social, high-performing team. Diversity and inclusion commitment We’re committed to growing and empowering an inclusive VALD team. That’s why we actively encourage applications from candidates from all backgrounds, experiences, and perspectives. If you require accessibility assistance at any stage of the process, please let us know. Conditions of employment The successful applicant will be subject to a background check (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results for the role.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai