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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Tax team sits within Finance & Accounting and is responsible for the company's tax position as we grow quickly in the US and internationally. New entities and jurisdictions, intercompany arrangements, financing, acquired businesses, and large commercial and compute agreements all carry US international tax consequences, and those consequences are getting larger and more complex as the company scales. We are looking for an International Tax Director to join our Tax planning, M&A, and Policy team. Your core subject matter is the US international provisions, including subpart F, NCTI, FDDEI, BEAT, and the foreign tax credit, along with the subchapter C rules that govern how we form, fund, and structure entities. This is a hands-on technical role. You will write the memos behind your recommendations, review the models that support them, and see your projects through to implementation, often in areas where the facts are new to the company or the law has recently changed and guidance is still developing. Our M&A tax colleagues lead diligence and deal structure on transactions, and once a deal closes you will help work out how the acquired business fits into our international structure. You will also work closely with the colleagues who own the tax provision, compliance, and transfer pricing, and with Legal, Treasury, and Accounting. If you enjoy carrying hard technical questions through to implementation as part of a small team, we would like to hear from you. Key responsibilities Lead and support US international tax planning projects from initial analysis through implementation, and contribute to how the planning group identifies and prioritizes its work Analyze the US international tax consequences of business initiatives, including new entities and jurisdictions, intercompany arrangements, funding and repatriation, and cross-border commercial and compute agreements, and recommend how to structure them Perform and review technical analysis under subpart F, NCTI, BEAT, and the foreign tax credit rules, including expense allocation and apportionment and the interaction among these provisions Apply subchapter C to entity formations, contributions, distributions, liquidations, and internal reorganizations, including earnings and profits and stock basis analysis Define the assumptions and scenarios for models that quantify the cash tax and effective tax rate impact of planning alternatives, acquired structures, and legislative and regulatory changes; review those models for technical accuracy and provide input on them; and be accountable for the conclusions drawn from them Support the M&A tax team after closing by developing the step plans that integrate acquired entities into Anthropic's structure, reviewing the modeling of the alternatives, and leading follow-on planning for the combined structure Draft technical memoranda and maintain documentation that would support each planning position on examination, and work with the provision team on ASC 740 treatment, including uncertain tax positions Partner with tax compliance and transfer pricing so that your projects are reflected accurately in intercompany pricing, the provision, and the US international filings (Forms 5471, 8858, 8991, 8992, 1118, and related), and review the international portions of the US return as a subject matter expertise Scope, budget, and manage work performed by outside advisors on your projects, and review their deliverables Track US legislative and regulatory developments and OECD developments in your areas, assess their impact on our position, and share the analysis with the planning group and Finance leadership Work with the tax advisory team, Legal, Accounting, and Treasury to make sure approved planning and integration steps are implemented as designed, including intercompany agreements Support responses to IRS and other tax authority inquiries relating to positions you have worked on Minimum qualifications Have deep technical knowledge of the US international tax provisions, including subpart F, NCTI, BEAT, and the foreign tax credit rules, and have applied them in a planning context rather than in compliance alone Have working knowledge of subchapter C as it applies to multinational groups, including earnings and profits, stock basis, distributions, and internal reorganizations Have led tax planning projects end to end, including scoping, technical analysis, modeling, documentation, and implementation Understand how planning positions flow into transfer pricing, the ASC 740 provision, and the US international compliance forms Can research a technical question in the Code, regulations, and administrative guidance and write a clear, well supported memorandum Can review a tax model built by someone else, identify where the technical assumptions or mechanics are wrong, and explain what needs to change Have managed outside advisors, including scoping work, managing budgets, and reviewing their output Can run several projects at once with different internal owners and keep each of them moving Can reach a defensible recommendation when the facts are incomplete or the guidance is unsettled, and can explain the remaining uncertainty Communicate technical tax conclusions clearly to people who are not tax specialists, and work well with colleagues in Legal, Accounting, and Treasury Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications CPA, JD, or LLM in taxation 15+ years of extensive US international tax experience, for example a combination of public accounting or law firm practice and an in-house role at a multinational technology company Experience with post-acquisition integration planning, including step plans and modeling for bringing acquired entities into an existing international structure Direct experience with transfer pricing, Pillar Two, or the FDDEI deduction and how they interact with the US international provisions Familiarity with the tax rules of the non-US jurisdictions where a US technology company typically operates Have working knowledge of partnership tax as it applies to multinational groups, including the formation and funding of joint ventures, allocations and distributions, and how partnership structures interact with the US international provisions Experience planning around large cross-border commercial arrangements, such as cloud, compute, or licensing agreements, or standing up entities in new jurisdictions Experience with infrastructure or capital-intensive investments, such as data centers, energy, or similar assets, including joint venture and financing structures Experience supporting an IRS examination of international positions Experience at a company that scaled significantly, or built out its international structure, during your tenure Have built or reviewed US international tax models yourself, which tends to make review faster and more precise Have used Claude or similar tools in tax research, modeling, or documentation, and have views on where they help and where they do not Have mentored or developed other tax professionals The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States; San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team. Key responsibilities Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models Execute per-release safeguard-robustness testing ahead of major model launches Analyze evaluation results and communicate findings clearly to the team and to stakeholders Design, prototype, and tune detection probes for cyber misuse Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time Build and maintain internal tooling used to run and score evaluations Collaborate with policy and engineering partners to translate eval findings into safeguard improvements Minimum qualifications Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research) Proficiency in Python Strong ability to communicate evaluation results with multiple cross-functional stakeholders or potential policy stakeholders Preferred qualifications Deep offensive-security or security-research experience, including experience building AI security benchmarks Experience analyzing adversarial or abuse data (e.g., jailbreaks, prompt bypasses, intrusion or fraud telemetry) Experience working onsite with government partners on testing or evaluation engagements Experience with AI/ML evaluation frameworks Familiarity with coordinated vulnerability disclosure practices Experience testing pre-release or pre-deployment software or models under confidentiality constraints Experience authoring detection content (e.g., Sigma, YARA, Suricata, SIEM rules) or building ML-based abuse detection Active secret security clearance or higher, or eligibility to obtain one The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City Workplace: OnSite ABOUT PINECONE: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. ABOUT THE ROLE/TEAM: As a Technical PMM, you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform. RESPONSIBILITIES: - Product Launches & GTM Strategy: - Develop launch plans for product releases, align with product teams, and manage GTM execution. - Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc). - Measure customer impact and adoption post-launch, iterating on strategies as needed. - Positioning & Messaging: - Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions. - Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors. - Develop and maintain positioning for new product capabilities - Customer & Market Insights: - Partner with customers to develop case studies, gathering business impact metrics and architectural insights. - Engage in customer interviews and research to refine messaging and identify key value drivers. - Content Development & Enablement: - Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessions. - Collaborate with marketing to create social posts, blogs, and technical content. REQUIREMENTS: - 7+ years of experience in product marketing, ideally at a developer-focused or AI/ML infrastructure company. - Strong technical acumen with hands-on experience in AI, ML, vector search, cloud computing, or databases. - Proven track record in launching technical products and driving adoption in enterprise and developer communities. - Partner with enterprise sales to build sales enablement and help navigate the deal. - Ability to translate complex technical concepts into clear, compelling messaging for different audiences. - AI-native workflow from content creation to automating away process - Experience working cross-functionally with Product, Engineering, Developer Relations, and Sales teams. - Excellent written and verbal communication skills. BONUS POINTS: - Experience in developer marketing or working directly with AI/ML practitioners. - Familiarity with vector databases, retrieval-augmented generation (RAG), or search technologies. - Knowledge of cloud infrastructure and AI model deployment. PERKS & BENEFITS: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: High Point, North Carolina Lumos is looking for a full-time OSP Engineer ! If you’re an experienced FTTH design & construction engineering professional who’s excited for a fast-paced experience, ready to help us grow, and ready to recommend process changes that ensure we’re harnessing our technology to the best of our ability while broadening our ability to set up and maintain our service, we want to hear from you! As an OSP Engineer, you’ll plan & prepare drawings for construction of new, overhead, or underground links, cables, & conduits to obtain optimum and economical utilization of communications facilities. The OSP Engineer is responsible for selecting the most cost beneficial route for all lines and equipment for projects – making sure that our network expands throughout the regions we’re privileged to serve. Why Lumos: Lumos is transforming the future of connectivity by building one of the nation's fastest-growing 100% Fiber Optic networks. Through T-Fiber, our joint venture with T-Mobile, we're working toward a shared goal of connecting 12 to 15 million homes by 2030 while expanding access to reliable, high-speed internet in the communities we serve. Here, you'll find more than a job, you'll have the opportunity to make an impact, take ownership of your work, and help shape how we grow. We move quickly, collaborate across teams, and believe the best ideas come from people who are curious, solutions-oriented, and ready to build what's next. What You'll Do: Prepares detailed construction & installation drawings and reviews OSP construction prints, CAD drawings, and GIS data to ensure alignment with Network Planning and project requirements. Provides estimates of labor and materials costs and design loss calculations. Maps and drafts utilizing CAD & manual processes; researches & updates International Construction Measurement Standards (ICMS) records, appropriate permits, and ISP designs. Manages & tracks OSP work schedules to ensure alignment with project requirements and timelines; develops cost studies, performs estimates, reports on project progress, budget forecasting, tracking, & reporting. Performs data validation and comparison using Excel, Snowflake/SQL queries, and reporting tools to identify discrepancies and support engineering decisions. Liaises with city officials to manage permitting processes and ensure compliance. Liaises with customers regarding land acquisitions for easements. Provides real-time direction to colleagues to meet project timelines & contractual obligations. Communicates & escalates contractual, technical, scheduling, or data-related issues that are in jeopardy or could affect customer or project progress. Reviews all permits, rights of way, easements, and negotiations needed for project completion. Tracks and follows up on all issues & actions encountered by colleagues and vendors. Integrates innovations into design, engineering, and reporting practices. Collaborates with Sales as needed to develop tailored design solutions for potential customers. Oversees and guides design-permitting vendors, ensuring their work aligns with business objectives and project requirements. Performs other duties as assigned, including departmental & cross-functional projects. What You'll Bring: Excellent interpersonal skills, as well as written and verbal communication skills. Demonstrated project management experience. Strong knowledge of OSHA rules, site safety, National Electric Safety Code (NESC) requirements, and associated construction and telecommunications federal and local regulations. Proficient in Microsoft Office, particularly Excel (PivotTables, VLOOKUPs, and data analysis); experience with Power BI or similar reporting tools preferred. Experience reading OSP construction prints, CAD drawings, and GIS mapping systems such as 3GIS or equivalent platforms. Familiarity with Snowflake and SQL queries for running, validating, and comparing data is preferred. Able to respond promptly, manage multiple tasks & customer needs, and prioritize progress toward deadlines in a fast-paced environment. Working knowledge of all aspects of company processes including but not limited to: OSP construction; Site preparation and permitting; OSP testing and acceptance standards; Creating design for local L2 and Transport architecture; Google Earth and various fiber mapping platforms. What Makes You a Great Fit: 5+ years’ technical experience working in OSP Engineering, Construction, or Operations. High school diploma or equivalent required; Associate’s degree preferred. Proactive, independent, and collaborative - takes initiative to keep on-task and on-target. Fiber and telecommunications industry experience is essential, with a strong understanding of industry standards, technologies, & processes critical for success in the role. Physical Requirements: Frequently operates computer, keyboard, and related peripherals. Able to remain seated at workstation for extended periods. Near-constant use of sight, speech, hearing, comprehension, and reasoning. Benefits & Perks: Our commitment to communities includes recruiting and rewarding the Lumos team members who are working together to build a brighter tomorrow. We have: Comprehensive health, dental, and vision coverage. Competitive compensation packages, including bonus options for eligible positions. Paid Time Off & Paid Holidays. Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs). 100% employer-paid life and disability insurance. Employee Assistance Program (EAP) with access to professional support for life’s challenges. 401K plan w/ up to 5% employer contribution and a self-directed brokerage option. Wellness program offering education and cash incentives for gym attendance and nutrition programs. Employee referral bonuses. Discounts on Lumos Fiber Internet for employees who live in our service areas. Discounts on T-Mobile wireless service and select features for lines. Applicant Eligibility Notice: Applicants must be at least eighteen (18) years of age at the time of application. At Lumos we recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We have a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination, including harassment, because of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We will provide reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws.

Location: United States; Canada; London Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As Cohere scales its enterprise AI platform and accelerates its position as a leader in sovereign AI solutions, we need a strategic Corporate Development leader to drive high-impact partnerships, M&A, and long-term business development. This role will focus on expanding Cohere’s ecosystem through strategic alliances, channel relationships, and targeted acquisitions that support our growth in regulated industries, government sectors, and global markets. Key Responsibilities M&A Strategy: - Evaluate and execute acquisitions or investments in complementary technologies that strengthen our core platform, particularly in compute infrastructure, specialized AI capabilities, and regulatory compliance tools - Lead due diligence processes with cross-functional teams to ensure technical integration feasibility and strategic alignment - Manage post-merger integration to maximize value realization and revenue synergies Market Expansion: - Support entry into new verticals and geographies through targeted collaborations with industry leaders and government partners - Develop market entry strategies that address regulatory requirements and sovereignty concerns in key international markets - Create partnership frameworks that enable rapid scaling in high-growth sectors - Partner with sales and marketing teams to create joint GTM strategies that drive adoption and revenue growth Cross-Functional Leadership: - Partner with product, engineering, and legal teams to ensure deals align with technical capabilities, ethical AI standards, and regulatory requirements - Collaborate with finance to develop robust financial models and valuation frameworks for partnership and M&A opportunities - Work with government relations and policy teams to navigate complex regulatory landscapes and secure strategic government partnerships Strategic Partnerships: - Identify and negotiate transformative alliances with key players in our ecosystem, including telcos (e.g., Bell), hardware infrastructure providers (e.g., BUZZ HPC), cloud platforms, and government entities to accelerate Cohere’s go-to-market and sovereign AI deployment capabilities - Develop partnerships that enable on-premise and edge deployment solutions for customers requiring data sovereignty and regulatory compliance - Leverage relationships with enterprise software vendors and data platforms to enhance North’s enterprise-grade AI offerings Qualifications Experience: - 12+ years in corporate development, strategic partnerships, or investment banking at a technology company, with proven experience in AI, SaaS, or enterprise software - Demonstrated success in closing partnerships and M&A deals that drove significant revenue growth or strategic market access - Experience with sovereign AI deployments, regulatory compliance (CTA, export controls), and government partnerships Skills: - Strong negotiation and deal-structuring ability with experience in complex, multi-stakeholder agreements - Extensive network in AI/enterprise tech ecosystems, including telcos, hardware providers, and government entities - Analytical rigor with expertise in financial modeling, market sizing, and valuation analysis - Cross-functional leadership and stakeholder management skills - Deep understanding of current AI regulatory landscape and compliance requirements Track Record: - Experience executing M&A transactions that successfully integrated complementary technologies and accelerated growth - History of building and scaling strategic partnerships that delivered measurable revenue impact and market expansion - Proven ability to navigate complex regulatory environments and secure government/enterprise partnerships Why Join Cohere? - Impact: Shape Cohere’s growth trajectory through high-impact deals that position us as the leader in sovereign enterprise AI - Autonomy: Build Corporate Development from the ground up in a company with a clear vision and strong market momentum - Culture: Collaborative, innovative environment focused on responsible AI development and deployment - Growth: Opportunity to work at the intersection of cutting-edge AI technology, strategic partnerships, and global market expansion FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Budapest, Vienna XUND is a leading digital health scale-up that enables healthcare companies to digitize patient interactions and translate data into actionable insights. It's our vision to empower patients to make better decisions. But we cannot do it alone: we need leaders, doers, and innovative minds to turn our vision into reality. That is why we are looking for an ambitious, highly committed, and entrepreneurial team player who shares our values of putting patients first, building an inspiring and open environment and challenging the status quo. The Role Join our team as a Senior Data Engineer and architect our company's new data backbone from the ground up. Your expertise in clinical ontologies and data modeling will turn messy, large-scale healthcare data into a unified, high-performing knowledge graph. You will work directly with medical experts, product teams and data scientists to translate complex clinical domain logic into clean, interconnected data structures & models that bring real value to patients and practicing doctors. Your Responsibilities Find creative uses of different database types and data pipelines to ensure patient data we collect and medical knowledge we produce stay consistent & interoperable. Develop and integrate parts of our clinical inference engine relying both on rule-based and statistical models. Design and extend clinical data models using domain ontologies (e.g., SNOMED-CT, FHIR, UMLS) to turn healthcare data into rich, queryable graph structures. Translate research insights into scalable, production-grade software efficiently in an agile and close-knit team. Work closely with medical experts to capture clinical workflows and validate ontology mappings. Shape the technical direction, schema design, and engineering best practices across the engineering team. Your Profile MSc or PhD in computer science, mathematics, or related field. +4 years of proven industry experience in working with medical data or in data engineering (or appropriate academic research). Strong knowledge of graph databases, query languages, search algorithms and/or inference systems (e.g. Neo4j, Memgraph, Cypher, SQL, Datalog). Extensive experience in software development with Python and/or TypeScript – being comfortable with switching languages/frameworks. Resident in the EU with a valid work permit. Nice to have Familiarity with concepts of statistics, formal logics and/or machine learning. Experience with EHRs and clinical data exchange formats (e.g. FHIR). Deep interest in the area of Knowledge Representation and Reasoning (KRR). Experience with independently managing cloud environments (ie. GCP) and CI/CD pipelines. Your Benefits Join one of Europe's leading healthtech scale-ups and make a real impact in a purpose-driven environment. Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged. Benefit from a dedicated training budget and professional development time, because we believe in growing together and supporting your skill-building journey. Work where you are most productive – remotely from home or from one of our offices in Vienna, Budapest, and Berlin. Connect with your team through company-wide celebrations and optional local gatherings, always packed with great food and zero pressure. Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged Work where you are most productive – remotely from home or from one of our offices in Vienna, Budapest, and Berlin. Connect with your team through company-wide celebrations and optional local gatherings, always packed with great food and zero pressure. Be part of a vibrant, open culture with flat hierarchies and direct communication, where your voice matters and everyone’s ideas are heard. Plus, office dogs! Bring your four-legged friend to work or hang out with the resident dogs to break up the day. Salary & Compensation Our salary ranges are determined by role, level, and location. The minimum starting salary for this position is: Budapest: 1,900,000 HUF gross / month Vienna:  3,954 EUR gross / month (pursuant to the IT collective agreement ) Willingness to overpay is given and depends on the respective qualification and experience. On top of that, we also let all our employees participate in our Virtual Stock Option Plans (VSOPs), ensuring that they can directly benefit from our collective success. At XUND, we know that innovation happens when different perspectives come together. Whether you’re a coding whiz, a health enthusiast, a spreadsheet guru, or a creative problem-solver, we value what you bring to the team. If you’re excited about this role but feel like you don’t “check all the boxes,” don’t worry – we still want to hear from you! We’re committed to fostering an inclusive space where everyone’s contributions are valued and respected, and we encourage candidates of all backgrounds, identities, and experiences to apply. If you’re eager to make an impact, we’d love to hear from you!

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Responsibilities Partner with Product Managers and Engineers throughout product discovery, from identifying problems and opportunities to defining and validating solutions. Translate user feedback, business goals, product requirements, and technical constraints into thoughtful product improvements. Own the end-to-end design process — from early ideas, user flows, and wireframes to prototypes, high-fidelity UI, implementation, and post-launch iteration. Use qualitative and quantitative data to inform design decisions and measure the success of shipped features. Design thoughtful, intuitive experiences that solve real user problems and create business value. Work closely with engineers during implementation, provide clear design guidance, and ensure the final product meets the intended quality. Collaborate with Product Managers, Engineers, Researchers, and other team members to find optimal solutions. Work collaboratively with other Product Designers to maintain consistency, contribute to the design system, and improve the product holistically. Understand customers, their needs, and behaviors through research, market analysis, product data, and feedback. Important/challenging tasks Turn ambiguous product problems into clear user flows, concepts, prototypes, and testable solutions. Validate design ideas through usability testing, user feedback, product data, and experimentation. Conduct user research to understand user needs, motivations, behaviors, and pain points. Balance user needs, business goals, and technical constraints when making design decisions. Design complex flows across different user states, platforms, screen sizes, and edge cases. Create detailed design specifications and work closely with Engineers throughout implementation. Iterate on shipped experiences based on qualitative and quantitative insights. Communicate design rationale clearly to stakeholders and build alignment around proposed solutions. Participate in design critiques and provide constructive feedback to other Product Designers. Manage and prioritize multiple design initiatives while maintaining a high level of quality. You’ll thrive here if you have 5+ years of experience as a Product Designer working on web-based products. Strong portfolio demonstrating end-to-end product design work, particularly for web products; mobile and desktop experience is a plus. Strong user-centered and product thinking, with the ability to connect user needs with business goals. Experience working in cross-functional product teams with Product Managers and Engineers. Ability to independently drive design work from an ambiguous problem to a shipped and validated solution. Experience using qualitative and quantitative insights to inform and validate design decisions. Strong interaction design, information architecture, prototyping, and visual design skills. Strong Figma skills and experience working with component-based design systems. Good understanding of front-end development principles and ability to collaborate effectively with engineers. Ability to think through complex user flows, responsive behavior, different user states, and edge cases. Excellent communication skills and ability to clearly explain and defend design decisions. English at B1/B2 level or higher, sufficient for day-to-day collaboration and presenting design decisions. It will be a plus Experience working on complex, high-traffic B2C products. Experience with product analytics, experimentation, and data-informed design. Experience contributing to design systems and maintaining design documentation. Experience using AI tools to accelerate product design workflows. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropic's Kubernetes fleet, the tools researchers and engineers use to launch and manage their jobs, and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run, the scheduler decides where it lands and how quickly; when demand outstrips supply, it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath. We're looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropic's compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system's decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. You'll lead a team building infrastructure that the entire research and product organization depends on, and you'll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet. Key responsibilities Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs Define and track the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications Experience managing and growing a team of software engineers A hands-on software engineering background as an individual contributor prior to moving into management Experience building or operating large-scale distributed or infrastructure systems in production Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers Excellent written and verbal communication skills, including the ability to create clarity across teams Preferred qualifications 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams Experience owning a cluster scheduler, job orchestration system, or resource manager at scale Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency Experience building developer tooling that other engineers rely on every day A background in observability or incident response for control-plane systems, and a track record of improving production reliability A track record of building a culture of belonging and of engineering excellence Low ego, high empathy, and a habit of leading by example The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. WHAT MAKES US DIFFERENT We operate with a founder-like mindset: we move fast, take ownership, and hold ourselves to a high bar. We are genuinely customer-obsessed, and we bring that same curiosity and care to how we work with each other. If you want to work somewhere that challenges you, trusts you, and gives you the opportunity to do work that actually moves the needle, Box is that place. WHY BOX NEEDS YOU Every enterprise is sitting on a goldmine they can't access. Millions of documents, contracts, presentations, images, and emails, the institutional knowledge that defines how a company operates, are locked in legacy systems, invisible to the AI models and agents that could transform how work gets done. Box is the platform that changes that.Box has seen a major evolution since pioneering cloud storage solutions. Today, we are building the secure, intelligent content layer that connects enterprise knowledge to AI powering any model, any agent, and any workflow, while maintaining the governance, compliance, and control that the world's largest organizations demand. AI is only as powerful as the information it can securely access, and that is exactly what Box provides.The enterprises that win the AI era will be the ones that can securely connect their models to the right knowledge, at the right time, with the right controls. Box is that foundation, and we've been building toward this moment for over 20 years. We are seeking high-caliber sales professionals to drive new customer acquisition and expand relationships across our largest enterprise accounts As an Enterprise Account Executive, you’ll be bringing in new logos as well as growing and expanding existing customers within our largest accounts. You won't be selling a point solution, you'll be helping all lines of business rethink the role of their most valuable asset, their content. WHAT YOU'LL DO Own a portfolio of strategic enterprise accounts (2k-10k employees) and lead complex, multi-stakeholder sales cycles that drive measurable business transformation, not just transactions. Exercise judgment in selecting methodologies, techniques and evaluation criteria throughout the sales process Partner with CIOs, CTOs, CISOs, and senior business leaders to identify where Box can unlock real, measurable value and change how an organization operates. Research and understand your customers and prospects to gain insight into their business challenges and Box value proposition Collaborate with internal teams across Solutions Engineering, Customer Success, Product, Marketing, Partners, and Executive Leadership to deliver outcomes that customers remember. Build, qualify, and advance pipeline by proactively creating urgency and driving opportunities forward through outbound prospecting and a hunter mindset. Serve as the voice of the customer by bringing market intelligence and customer feedback back to Product and GTM teams to shape how Box evolves. 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. 5+ years of enterprise field sales experience with a consistent track record of exceeding goals in complex, multi-stakeholder environments selling SaaS, cloud, data, cybersecurity, or AI solutions. Energized by C-suite engagement and know how to earn and maintain trust at the executive level across IT, security, legal, finance, and business leadership. Proven ability to translate complex platform capabilities into clear business value, communicating emerging technology effectively to diverse audiences, from technical practitioners to senior leadership. Proactive pipeline builder who identifies and develops opportunities through strategic prospecting, creative sourcing, and disciplined follow-through. Display curiosity about AI, eager to learn, and passionate about helping organizations navigate major technological advancements. Thrive in a culture of respectful candor: you communicate openly, welcome feedback, and believe that transparent, constructive dialogue strengthens team collaboration and decision-making. 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. This is a field sales role with travel requirements up to 50%. 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 Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . 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 $238,000 — $297,500 USD

Location: Remote- United States Remote, United States | Full time | Reports to the CEO Compensation: $120K to $150K total compensation (base plus performance bonus) plus equity. This is our founding marketing hire. You are being hired to fire the CEO from his second job. Whippy grew to 1,000+ customers with almost no marketing team. Pipeline comes from founder led webinars, partner channels, referrals, and customer stories good enough that prospects quote them back to us. Right now the CEO personally writes the case studies, directs the website, organizes the events, and approves every asset, while the audiences we already own sit untouched: no sequences, no retargeting, no cross sell motion. Your job covers both halves of that problem. You codify the message, and you build the machine that ships it. Then you own a pipeline number the way an AE owns a quota. One thing to know before you apply: this is a rare shape of role, deliberately. Most product marketers hand their messaging over a wall to someone else who distributes it. Most lifecycle marketers get handed messaging they didn't write. Here there is no wall. The person who writes the story builds the sequence it goes in. If you've spent your career on one side of that wall, this is not your job. If you've done both and hated the wall, keep reading. WHY WHIPPY Whippy is the AI native platform for business communication: AI Voice Agents, AI Recruiting, messaging, VoIP, deep integrations, and our own workflow engine in one system. Our customers do not buy software that helps their employees do the work. They buy AI that does the work. Our deepest market is staffing and HR, where we are the category leader, and new verticals are already opening behind it. We are bootstrapped and profitable, with named, public case studies showing customers saving $1M+ per year. The proof exists. The machine to distribute it does not. That is the problem you are hired to fix. HOW WE WORK Bootstrapped and profitable, so revenue is the strategy, and marketing is measured in pipeline, not impressions. No task is above or beneath anyone here: you will interview customers yourself, write the first draft yourself, and build the sequence yourself. Use AI for leverage: research, repurposing, ops, the grunt work. Never for voice. THE MANDATE, IN PRIORITY ORDER 1. Codify our messaging, then enforce it. Your first deliverable: extract our positioning from the founder's webinars, demos, and the language customers use in our case studies, and turn it into one messaging document. Positioning, product one liners, proof points, banned phrases, competitive framing against the tools we replace. The messaging exists today; it lives in the founder's head and a dozen slightly different pages. You make it one source of truth that everything you ship afterward draws from. 2. Own email and lifecycle marketing end to end. This is where your messaging goes to work, immediately. Audiences we already own and never touch: a thousand customers who hold one product and have never heard about the other five, everyone who demoed and did not close, closed lost deals, and warm site traffic with no retargeting layer. You build the sequences, the drips, the new product announcement motion to the base and to dead pipeline, and the retargeting programs. Nothing here requires inventing demand. It requires finally talking to the people already in the building. 3. Own marketing HubSpot. Today we run HubSpot as a CRM and nothing more: contacts are messy, marketing contacts are unmanaged, lifecycle stages are unused, and no lead has ever entered a nurture. You clean it up and make it the measurement backbone: contact hygiene and segmentation, marketing contact management, lifecycle stages, campaign tracking, and attribution from first visit through demo to close, working alongside our sales ops resource, so for the first time we can say which motion sourced which dollar. 4. Build the proof engine. The CEO writes our case studies today, and prospects quote them back to us. You take that over: extract stories from webinar and call recordings, interview the customers, draft in our voice, get approvals, and arm every story as a page, a PDF, a one pager, and clips cut from recordings we already have. Then turn the library into enablement: battlecards against the tools we replace, per product one pagers built from our Solutions Engineer's technical documentation, and kits for the ATS partner reps who already recommend us inside their own demos and have never been given a single asset to do it with. Everything you write feeds everything you send. 5. Turn events into campaigns, and manage our content writer. The CEO runs the webinars and the dinners; he is the talent. You make sure nothing he generates goes to waste: promotion and registration before, follow up sequences after, and extraction, so every webinar becomes case studies, clips, and campaigns within two weeks instead of sitting in a recording. And our blog and SEO writer reports to you: you set editorial priorities against the messaging doc, raise the bar, and turn one person patching articles into a content function. WHAT SUCCESS LOOKS LIKE - First 30 days: the messaging doc exists and the CEO signed it, you know our six products, three main competitors, and customer stories cold, marketing contacts in HubSpot are cleaned and segmented, and the first lifecycle sequence is live. - First 90 days: two new named case studies shipped and armed, cross sell and demo no close sequences producing measured pipeline, retargeting live, attribution reporting running in HubSpot from visit to close, and partner enablement kits in the hands of at least two ATS partner teams. - Year one: marketing is a predictable pipeline channel with its own number, every customer and dead deal in our database is in a motion, the proof library covers every product and vertical, and the CEO has not written a case study, built a sequence, directed a website page, or chased an event follow up in six months. WHO SUCCEEDS HERE You have 4+ years in B2B SaaS marketing, and your career crossed the wall: you did hands on lifecycle, email, or growth work, and you did real product marketing, positioning, competitive, enablement, whether or not the titles said so. Most people like this come from companies under 100 people, where they were one of one or two marketers and did everything because nobody else would. That's who we want. You can show us both kinds of receipts. Sequences you built with your own hands and what they produced. And named case studies or messaging work you personally shipped and got approved, with the story of how you got each customer to yes. You are genuinely strong in HubSpot: workflows, marketing contacts, segmentation, lifecycle stages, attribution, not just sending emails from it. You write clearly and fast enough that a demanding founder reads your draft and does not reach for the red pen. You know your numbers: pipeline sourced, conversion rates, what each motion returns. Ideally you've done this at a vertical SaaS company selling to SMB owners and operators. Bonus points if you started in sales or SDR work, because you will be embedded with the sales team and you need their instincts. THIS IS NOT FOR YOU IF - You want a brand or pure strategy role. This is a shipping role with a strategy layer, in that order. - You can position or you can distribute, but not both. Half this job is writing the message, half is building the machine that sends it. Missing either half makes this a bad time. - You have opinions about email marketing but have never built the workflow yourself. - You talk strategy more fluently than you talk numbers. - You need an agency and a big budget before anything ships. - You want to manage the work instead of doing the work. WHY JOIN NOW The hardest part of marketing is having something true to say. We have customers saving seven figures with named executives on the record, a category lead in AI, partner reps who recommend us unprompted, a founder who generates demand every time he speaks, and thousands of people already in our database who have never been sent any of it. You are the first marketing hire on a clean cap table. The message is yours to codify and the machine is yours to build, and you get to do it your way.

Location: Denver, CO; Loveland, CO Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Recognized by Vault as a Top 10 Engineering Internship Program, Olsson provides interns with meaningful, real-world work experience that will transform your classroom experience and help you envision your future career. Our Site Design team provides design services for retail, commercial, mixed-use, and residential land development projects, along with industrial, sports, schools, and other site development types. As a civil engineering student intern, you will be part of our team, working for our clients on projects with our most experienced engineers. You’ll assist with creating construction plans for sites that can include site layout, grading, stormwater, and utilities in AutoCAD and Civil 3D. You may also perform research, write technical reports, and travel to job sites. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to contribute and work well on a team. Proficiency in Microsoft Excel, Word, and Outlook. Problem-solving and decision-making skills. Strong attention to detail. Working knowledge of AutoCAD (Civil 3D is a plus). Pursuing a degree in civil engineering. We are hiring for one intern to work out of either our Denver or Loveland offices. #LI-DNP Learn more about our internship program rankings Actual compensation will vary based on factors such as experience, qualifications, geographic location, skills, education, and internal equity. Colorado Pay Range $22 — $25 USD Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Parkland, Florida, USA Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. Position Overview The Assistant Controller owns the day-to-day accounting operations of the organization — financial reporting, the general ledger, technical accounting compliance, and the accounting team. This is a hands-on leadership role for someone who closes the books accurately and on time, and who then goes further: interrogating the data, automating the manual work, and turning financial results into insight the business can act on. We are looking for a modern accountant. Beyond mastery of GAAP and the close, the successful candidate is genuinely strong in data analysis and has practical experience applying AI and automation tools to accounting workflows. As routine transaction processing becomes increasingly automated, this role is expected to shift toward reviewing automated output, investigating anomalies, strengthening controls, and advising business partners. The role also carries public-company readiness responsibilities, including SOX-aligned internal controls and audit readiness. Key Responsibilities 1. Financial Reporting Prepare and review monthly, quarterly, and annual financial statements, including supporting schedules and management commentary. Ensure compliance with U.S. GAAP and applicable financial reporting standards. Manage consolidation of financial data across multiple entities, including intercompany eliminations and foreign currency translation. Support the preparation of reporting packages for executive leadership, the board, lenders, and investors. 2. General Ledger and Month-End Close Own the month-end, quarter-end, and year-end close calendar, driving accuracy, completeness, and a shortening close cycle. Review and approve journal entries, account reconciliations, accruals, and adjustments. Maintain the chart of accounts and accounting policy documentation. Track and report close-cycle metrics, and set measurable targets for reducing days-to-close. 3. Technical Accounting Research and document positions on technical accounting matters; prepare accounting memos supporting significant judgments. Apply revenue recognition (ASC 606), leases (ASC 842), and equity compensation (ASC 718) standards as applicable. Monitor new and emerging accounting pronouncements and assess their impact on the organization. 4. Budgeting, Forecasting, and Analysis Partner with FP&A and business leaders to develop budgets and forecasts. Monitor actual results against budget and prior periods; investigate, quantify, and clearly explain variances. Build and maintain analytical models and dashboards that give leadership timely visibility into financial performance. 5. Compliance, Internal Controls, and Audit Design, document, and maintain internal controls over financial reporting to safeguard company assets. Build and operate SOX-aligned control frameworks in support of public-company readiness; own control narratives, risk and control matrices, and testing remediation. Coordinate external audits and reviews: prepare PBC schedules, manage the request list, and respond to auditor inquiries. Maintain audit-ready documentation standards and evidence retention throughout the year, not only at year-end. 6. Data Analysis, Systems, and AI Use data analysis to test the integrity of financial data at scale — full-population testing, anomaly detection, trend and ratio analysis — rather than relying on sampling alone. Apply AI and automation tools to accounting workflows: reconciliation matching, transaction classification, flux analysis, document extraction, and close-task automation. Critically review AI-generated output and remain accountable for its accuracy. Build and maintain reporting in BI tools (e.g., Power BI, Tableau, Looker) and advanced Excel; query source data directly where needed (SQL or equivalent). Own the accounting system of record (NetSuite), including configuration, integrations, and data hygiene; partner with IT and RevOps on system upgrades and implementations. Establish sound governance for AI use in accounting — data privacy, auditability, human review, and documentation of how automated outputs are validated. 7. Team Leadership Supervise, mentor, and develop accounting staff; set clear expectations and provide regular, direct feedback. Manage team performance, conduct evaluations, and build a bench through training and stretch assignments. Build a team culture that is curious about the numbers and comfortable with new tools. 8. Process Improvement Identify and eliminate manual, low-value work; implement scalable accounting processes and best practices. Lead automation projects end to end — from identifying the opportunity through design, testing, rollout, and measurement of results. Document processes so that they are repeatable, transferable, and auditable. 9. Tax and Regulatory Filings Oversee the preparation and submission of tax filings (income, sales and use, property) in coordination with external tax advisors. Ensure compliance with reporting requirements including 1099s, payroll taxes, and multi-state and international registrations. 10. Ad Hoc Projects Support strategic initiatives including M&A due diligence and integration, financing events, system upgrades, and special analyses. Qualifications and Skills Education and Experience Bachelor's degree in Accounting, Finance, or a related field. CPA required (or active candidate); public accounting experience strongly preferred. Minimum of 7-10 years of progressive accounting experience, including at least 2 years in a supervisory or management role. Experience in a multi-entity and multi-currency environment. Exposure to SOX, public-company reporting, or IPO/audit-readiness work is a strong plus. Technical Skills Strong working knowledge of U.S. GAAP and financial reporting standards. Proficiency in NetSuite (or a comparable enterprise ERP such as SAP, Oracle, or Workday) and advanced Excel, including complex models, pivot tables, Power Query, and large-dataset work. Strong data analysis capability — able to pull, join, validate, and interrogate large financial datasets, identify anomalies and root causes, and present findings clearly to non-finance audiences. Working knowledge of SQL and/or a BI tool (Power BI, Tableau, Looker) expected; Python or R a plus. Demonstrated AI experience — practical, hands-on use of AI or machine-learning tools in a finance or accounting context, such as automating reconciliations and close tasks, AI-assisted document and invoice processing, anomaly and fraud detection, or AI-supported research and drafting. Should be able to describe specific workflows they have improved, the results delivered, and how they validated the output. Familiarity with close-management, reconciliation, or AP/AR automation platforms (e.g., FloQast, BlackLine, Bill.com, Ramp, Avalara) is a plus. Key Competencies Strong analytical and problem-solving skills, with the judgment to know when a number is wrong before anyone else does. Intellectual curiosity and a bias toward automating repetitive work rather than absorbing it. Excellent organizational skills, with the ability to manage multiple priorities and hard deadlines. Exceptional written and verbal communication skills, including the ability to explain financial results and technical positions to non-finance stakeholders. High ownership and integrity; comfortable operating with limited direction in a fast-moving environment. Demonstrated ability to lead, mentor, and inspire a team. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!

Location: India GROWTH MEASURED IN MONTHS, NOT YEARS. DIRECT ACCESS TO THE FOUNDING TEAM. OWN A LIVE SITE FROM DAY ONE. Human Archive builds the datasets that teach robots to work with their hands, captured from real people on factory floors, in kitchens and on construction sites across 30+ countries. We're YC-backed with $8.2M raised, and built by researchers from Stanford, Berkeley, NYU GRAIL, UPenn GRASP and JHU Robotics. The path here moves quickly: Operations Manager, then Regional Manager, then City Head, based on performance rather than time served.   THE ROLE As an Operations Manager, you own the deployment. From the moment equipment leaves our storage point to the moment the day's data is verified, it is yours to run: a team of five to six operators, a live site, and a set of problems nobody can solve for you from a desk. The stakes are real: robots learn from what we capture. A good deployment produces data that trains machines to work with their hands; a bad one produces footage nobody can use. That call gets made on the floor, by you, in the moment. It suits someone who is equally comfortable talking to a mechanic mid-shift and holding a strict data protocol when a site is pushing back. Most people can do one. We are looking for the ones who can do both.   RESPONSIBILITIES - Collect and verify camera inventory, batteries and accessories from the local storage point each morning - Travel with your team to the deployment site and set up for the day's collection - Brief and manage five to six field operators through the collection plan - Meet and coordinate with the site point of contact, typically a Director, Operations Head or owner of a factory, resort or restaurant - Check data quality through the day, including camera framing, battery levels and storage - Complete and verify the taxonomy for all footage collected on site - Reconcile inventory at day end and return it to the dark store manager - Transfer and upload the day's data, and submit the deployment report   WHERE THIS GOES You report to the Zone Head and the Operations Head, and work directly with the founding team. Each Operations Manager runs one deployment team of five to six field operators, with a home city and rotation across active national sites. Strong performers move fast. Regional Manager comes first, owning multiple deployment teams across a zone. City Head comes next, owning a city's full operations, including site partnerships and vendor relationships. We expect our operations leadership to come from this cohort.   WHO WE'RE LOOKING FOR Non-negotiable - Strong spoken English and Hindi. You are often our first point of contact with Directors, Operations Heads and owners of factories, resorts and restaurants - Willingness to work on site and travel, not from a desk - Ability to give clear direction to field teams in Hindi and English - Ability to make decisions independently when a deployment does not go to plan We're hiring two kinds of people: 1. Freshers: 2025 and 2026 pass-outs. Startup internship experience strongly preferred. If you've interned at an early-stage company and know what it's like when the process doesn't exist yet and you have to build it, this role will make sense to you. 2. People with 1–3 years of field or operations experience. Prior experience as an Operations Manager, City Ops, Fleet Ops or Field Ops at a startup. Quick commerce, home services, hyperlocal delivery and on-demand backgrounds map directly onto this role: companies like Snabbit, Blinkit, Zepto, Swiggy, Urban Company, Rapido and Porter. Prior experience is useful but not required. We train on our protocol and taxonomy. What we cannot train is spoken English and ownership.   THIS ROLE IS NOT FOR YOU IF - You want a fixed desk and a fixed city - You want predictable 10-to-6 hours - You are uncomfortable spending your day on factory floors, in kitchens and on shop floors - You would rather escalate a problem than solve it on the spot   TRAVEL This role requires substantial travel: a typical month may include a week each in Delhi NCR, Bengaluru and Assam. You should be comfortable with this before applying. Base location is Delhi NCR. All outstation work-related travel, accommodation, meals and commute are paid by the company and are not part of your CTC.   WORKING SCHEDULE - 6-day work week - Actual working hours are approximately 9–10 hours. On deployment days, a significant part of the day is spent travelling, over and above working hours. - Reporting time depends on the deployment and can be early morning. - Sunday deployments are limited to a maximum of two per month. - On non-deployment days you handle data transfer and upload, deployment planning, reporting and site coordination. These days run on more regular hours.   ELIGIBILITY - Any graduate degree (BBA, BA, B.Com http://B.Com, BHM, B.Tech http://B.Tech or equivalent). Hospitality, hotel management and general management backgrounds do particularly well in this role. - Batch: 2025 and 2026 pass-outs, or up to 3 years of relevant experience - No minimum CGPA cutoff. We hire on the interview, not the marksheet COMPENSATION Total CTC: ₹4 to 7 LPA, based on interview performance. 100% fixed. There is no variable or performance-linked component. Comp is revised at each step as you move up. - Probation: 2 months at full salary, no deduction - No service bond or training bond of any kind

Location: Tbilisi, Georgia Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We're looking for a seasoned Senior ML CV engineer to drive the technical direction of AI Mosaic - our production computer vision product that automatically applies accurate, form-fitting mosaic to video, replacing manual frame-by-frame masking with same-day automated output. AI Mosaic already runs in production and has processed titles for major Japanese distribution platforms. You'll own more than implementation - you'll improve the pipeline, spot where it can go further, and drive the changes that push the product forward. What You Will Do Deploy and continuously improve production ML pipelines for AI Mosaic Research and improve Computer Vision algorithms for automated content censoring and precise mosaic generation Improve algorithms for high-resolution video matting, segmentation, and form-fitting masking Develop spatiotemporal ROI extraction and tracking algorithms to ensure accurate and consistent masking across video frames Develop video understanding, relevant region detection, and motion recognition algorithms where they can improve masking quality Improve model accuracy, processing speed, stability, and scalability for high-resolution videos and batch workloads Proactively identify technical and product improvement opportunities and drive them from initial hypothesis to production Work closely with product and engineering teams to translate user feedback and business needs into practical ML solutions Tech Stack Must Have: PyTorch, PyTorch-Lightning, MLFlow, Experiment Tracking Highly Required: Camera Intrinsics Nice to Have: Inference Optimization: TensorRT, ONNX Runtime, Triton Inference Server Video CV: Spatiotemporal Tracking & Continuity Domain Knowledge: VR, 3D-geometry Stack (ML): Python, C++, Unity, PyTorch, PyTorch-Lightning, MLflow, DVC, OpenCV, AirFlow, Qdrant, Redis, MongoDB, RabbitMQ, MMLib, Feast Stack (Company): PHP, C#, Unity, Go, Unity, WebGL, K8s What We Are Looking For Proven experience developing and deploying Computer Vision models in production, with the ability to independently own complex ML solutions Strong programming skills in Python and solid knowledge of data structures and algorithms Ability to build extendable, reproducible, and maintainable ML pipelines Strong product mindset, with the ability to connect technical and model improvements to user needs and measurable product impact Proactive approach and ability to identify and initiate technical and product improvements BSc in Computer Science, Mathematics, or a related field Bonus Points Nice to have experience in anything mentioned in the Technical Stack section: C++ and etc. Experience deploying in edge (mobile, VR headset) devices Experience in shader creation (glsl, hlsl, etc.) MSc in CS, Math or related Hiring Process HR screening (30 min) Team Interview with Engineering Lead (30 min or 1 hour) Tech Interview (1 hour) CEO Interview (30 min) 💼 Explore our hiring process What We Offer Please note, that this is a fully remote contract role. B2B cooperation only – you will work with us as an independent contractor operating through your own legal business entity (e.g., sole proprietorship, limited company, or equivalent). The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a AI Software Tech Lead, ML role within Aidoc’s AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products. Responsibilities Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging. Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features. Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems Develop and maintain high-quality, scalable, and efficient code. Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems) Requirements BA/BSc/MSc in Computer Science, Engineering or a related field. 7+ years of experience in developing large scale production systems – including architecture design, research, development and testing. Deep understanding of Computer Science fundamentals – object-oriented design, code optimization, and complexity Passion for building generic and robust software architecture Passion for elegant and effective technological solutions, and a love for clean code Strong experience with Python and advantage to deep learning frameworks such as TensorFlow, PyTorch, etc. Strong ability to lead end-to-end development processes Advantage: Experience in developing AI and machine learning solutions, with a focus on computer vision and NLP. Strong communication and collaboration skills, with the ability to work effectively with a cross-functional team Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Israel Workplace: remote About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.   We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.  At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. About the SignNow team   We are a passionate and ambitious team of 100+ people on a mission to succeed with our award-winning signature solution. SignNow empowers over 28 million people worldwide to move fast with everything they need to send and e-sign documents.   Now, we're looking to reimagine digital agreement workflows and build the next generation of SignNow through AI-native experiences.   About the role   As a Principal AI Product Manager, you will play a founding role in shaping SignNow 2.0, rethinking how customers prepare, execute, and manage digital agreements through intelligent, agentic experiences.   This isn't about simply adding AI features to an existing product. It's about identifying meaningful customer problems, challenging existing workflows, and creating fundamentally better experiences while maintaining the trust, transparency, and control customers expect from signNow.   This is a hands-on, entrepreneurial builder role with end-to-end product ownership, high autonomy, and the opportunity to shape the next generation of our product, backed by the scale, resources, and customer base of an established global company.   You'll work closely with engineering, design, data, and GTM teams to turn ambitious ideas into real customer value, validate solutions early, iterate quickly, and deliver measurable business impact. What you will be working on: Product vision & strategy: Define and execute the product vision and roadmap for AI-native agreement experiences, balancing near-term customer value with long-term strategic opportunities. End-to-end product development: Own the full product lifecycle, from problem discovery and opportunity validation to prototyping, launch, adoption, and continuous improvement. AI-native experiences: Reimagine existing workflows and build intelligent, agentic experiences that solve meaningful customer problems, with a focus on reliability, transparency, and user control. AI product & technical leadership: Define clear product requirements, working closely with engineering to evaluate technical trade-offs, ensure quality, and enable scalable execution. Customer & market discovery: Proactively engage customers, uncover and simplify complex problems, identify market opportunities, and validate hypotheses through research, experimentation, and hands-on prototyping. Business impact: Prioritize initiatives based on customer value, adoption, revenue potential, and ROI. Define success metrics and use evidence to drive product decisions. Strategic influence & alignment: Turn complex ideas into clear, compelling product narratives, build alignment across stakeholders, and drive decisions that connect immediate opportunities with long-term direction. Entrepreneurial execution: Take ownership, challenge assumptions, proactively remove blockers, and move quickly from ideas to measurable outcomes. Requirements 5+ years of end-to-end product management experience in high-growth or large-scale B2B/B2C SaaS companies. Proven product ownership: Experience independently identifying new product opportunities and leading products or major initiatives from concept to launch and measurable business impact. AI product expertise: Hands-on experience shipping AI-powered products, with strong product judgment around LLM capabilities, agentic workflows, quality evaluation, reliability, cost, and performance trade-offs. Strong product discovery and problem-solving skills: Proven ability to proactively engage customers, uncover and simplify complex problems, validate opportunities, and translate insights into clear product requirements and measurable outcomes. Strategic product thinking: Ability to identify market opportunities, develop a differentiated product point of view, make clear prioritization decisions, and connect short-term execution with long-term strategy. Exceptional strategic communication and influence: Ability to turn complex ideas into clear, compelling product narratives, build alignment, and drive decisions across technical and business stakeholders. Strong technical fluency: Ability to work effectively with engineering, understand architectural implications, evaluate trade-offs, and define technically feasible product requirements. Strong analytical understanding of product metrics, experimentation, and instrumentation. Entrepreneurial mindset and high ownership: Comfortable with ambiguity, challenging existing approaches, taking initiative, and moving independently from ideas to execution. Hands-on and experimental approach: Willingness to personally explore emerging technologies, prototype ideas, test assumptions, and continuously learn. Nice to Have Experience founding a startup, building independent products, or leading entrepreneurial initiatives, including ventures that didn't succeed. Experience developing AI-native products or agentic workflows. Experience with B2B workflow automation, document processing, or agreement management. Experience with hands-on prototyping using AI development tools. Sounds like a match? Apply and let’s explore how we can build impactful AI-powered products together. What we offer   Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.   Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.   Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.   Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.   Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.   Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.   Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.       It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.   Read our Recruitment Privacy Notice to Learn how we process your personal information.

Location: San Francisco, CA; New York, NY; Atlanta, GA; Washington, D.C. Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE PUBLIC SECTOR TEAM - Sierra recently received FedRAMP High https://sierra.ai/blog/certified-fedramp-high certification, enabling us to bring our industry-leading technology to partners in the US public sector. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry. - Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies. - We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions. - In our journey, we are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. WHAT YOU'LL DO - Build Sierra’s public sector business: Own a portfolio of strategic Federal, state or local government accounts, develop territory and account plans, build qualified pipeline, and consistently achieve or exceed revenue targets. - Create opportunities around mission outcomes: Develop trusted relationships with agency leaders, program executives, technology teams, procurement officials, and other stakeholders. Translate priorities such as constituent access, service delivery, workforce effectiveness, and program integrity into compelling AI agent opportunities. - Lead complex sales cycles from discovery through award: Orchestrate executive alignment, solution development, business cases, security and legal reviews, pricing, proposal strategy, negotiation, and close across long, multi-stakeholder government buying processes. - Design the path to contract: Understand how each customer can buy and shape a practical acquisition strategy early. Navigate direct awards, competitive solicitations, pilots, task orders, and contract vehicles—including GSA schedules, GWACs, IDIQs, BPAs, state schedules, and cooperative purchasing agreements—as relevant to the opportunity. - Build and execute capture plans: Qualify opportunities with discipline; map decision-makers, influencers, incumbents, competitors, funding sources, fiscal-year timing, acquisition milestones, and win themes; and lead the internal cadence required to move from early demand to award. - Develop Sierra’s partner ecosystem: Build productive relationships with prime contractors, systems integrators, resellers, distributors, small-business partners, and other technology providers. Know when Sierra should sell directly, participate as a subcontractor, establish a teaming arrangement, or pursue a partner-led transaction—and align incentives and responsibilities accordingly. - Shape prime and teaming relationships: Identify where Sierra can strengthen a prime contractor’s solution and where partners can provide customer access, past performance, implementation capacity, or a procurement pathway. Negotiate clear account alignment, deal registration, workshare, and go-to-market plans that create durable value for the customer and Sierra. - Run high-quality bids and proposals: Partner with public sector leadership, legal, security, product, engineering, and delivery teams on RFIs, RFPs, sources sought, oral presentations, and other procurement responses. Make thoughtful bid/no-bid recommendations and ensure every submission is compliant, differentiated, and precise. - Operate as part of the customer’s team: Earn trust across senior agency leadership and working teams by understanding the mission, communicating candidly, and remaining accountable from the first meeting through deployment and expansion. - Help build the public sector go-to-market motion: As an early member of the team, improve our account segmentation, capture process, partner strategy, contract-vehicle roadmap, forecasting, and repeatable sales playbooks. Bring market signals back to product and company leadership to help shape Sierra’s platform and public sector strategy. - Operate as an AI-native seller: Use AI throughout the sales cycle—from account research and personalized outreach to call synthesis, opportunity planning, proposal development, and forecasting—so you can spend more time on judgment, strategy, and customer relationships. WHAT YOU'LL BRING - Meaningful enterprise technology sales or business development experience, including significant experience selling software, cloud, data, or AI solutions to U.S. government customers. - A demonstrated record of building pipeline, exceeding quota, and closing complex six- and seven-figure opportunities with long sales cycles and multiple technical, mission, executive, and procurement stakeholders. - Strong fluency in government acquisition and procurement, including funding and budget cycles, competitive solicitations, proposal processes, task orders, and common Federal or state contract vehicles. - Experience developing and executing capture strategies before a solicitation is released—not simply responding once an RFP is public. - A strong network and demonstrated ability to work with government technology partners, including prime contractors, systems integrators, resellers, distributors, and small-business teaming partners. - Sound judgment about direct, channel, prime/subcontractor, and teaming models, with the ability to select and execute the right path for a particular agency and opportunity. - The ability to build credibility with agency executives, program leaders, contracting and procurement officials, security teams, and technical stakeholders—and to align those groups around a shared path forward. - Excellent executive communication, negotiation, account planning, and forecasting skills. You are rigorous about details, procurement milestones, and next steps. - A passion for public sector work and a belief in the potential of government institutions to improve outcomes for the people they serve. - Comfort operating with high ownership in an early-stage business: you create structure where it does not yet exist, move with urgency, and collaborate deeply across functions. EVEN BETTER... - Experience helping launch or scale a public sector business for a high-growth software company. - Established relationships across Federal civilian agencies, state governments, or the government contractor and systems integrator ecosystem. - Familiarity with the FAR and related acquisition frameworks, government cloud and security requirements, and the commercial implications of FedRAMP High. - Experience shaping and closing outcome-based, usage-based, or other nontraditional software agreements in the public sector. - Experience with AI, conversational systems, customer experience technology, contact centers, or digital government services—and the ability to speak credibly with both mission and technical leaders. - Experience operating alongside founders or senior executives in high-stakes customer and partner engagements. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.