The ideal candidate is scrappy, thrives in a fast-paced, dynamic environment, is willing to experiment, and has exceptionally strong design fundamentals. You will lead the end-to-end production of high-fidelity motion graphics, from initial concept to final rendering and delivery, dedicate time to research and development of new design concepts, experimenting with emerging motion trends and technologies to keep the brand at the forefront of the AI industry, develop and optimize motion workflows, including the integration of generative AI tools to improve team efficiency and output quality, apply a high degree of taste and rigorous design fundamentals to all experimental work, ensuring that even the most "scrappy" or innovative explorations maintain brand integrity, and translate complex technical data and AI concepts into compelling visual narratives that resonate with both developer communities and executive stakeholders.

Ideally you'd have 5+ years of professional experience in motion design or creative production, ideally within a high-growth technology company, world-class agency, or culturally-defining brand, exceptional command of typography, color theory, and composition, proven ability to thrive in "scrappy" and ambiguous environments, managing rapid-fire R&D alongside long-term strategic projects, and experience working in multidisciplinary teams and a track record of fostering a culture of continuous learning and mentorship.

Nice to haves include experience in node-based motion software such as TouchDesigner, Cavalry, 3D software experience in Cinema 4D, Blender, or Houdini, generative AI tooling, background in creative production, and experience working with global teams and managing remote collaborations.

XML job scraping automation by YubHub

The primary responsibility of the Partner Manager (AI Boutiques) is to build and develop our ecosystem of AI-native boutiques, specialist SIs and consultancies. The Anthropic Alliances team's function is to extend and accelerate adoption of Claude and its developer platform by recruiting and developing a portfolio of consulting, services, technology and selling partners. This role focuses on partners who are building Claude-first practices,typically smaller, more agile firms with deep AI implementation expertise. These partners deliver proof points, train the talent pool, and drive adoption velocity in the mid-market to complement our developing GSI relationships.

Responsibilities:

• Be the face of Anthropic Alliances to our DACH/CEE emerging boutique partner ecosystem across AI-natives, specialist SIs and consultancies.
• Build and curate the partner portfolio to accelerate Claude adoption and service mid-market and enterprise customers.
• Identify, recruit, and onboard high-potential partners with genuine AI implementation capability.
• Partner with sales leaders to ensure business objectives are identified and met, with particular focus on deals where boutique agility and specialist expertise add value.
• Understand partners' businesses, their technical depth, and their target customer segments.
• Drive structure and rigour in joint business planning and active pipeline development.
• Provide and coordinate sales and technical enablement, ensuring partners function as a seamless extension of our direct sales and Applied AI teams.
• Coordinate with the GSI-focused Partner Manager to ensure complementary coverage and avoid duplication.
• Review customer needs and coverage gaps to identify where to focus prospecting and partner capability development.
• Monitor market and industry trends to identify emerging partners and new areas of specialisation.
• Develop and deliver regular pipeline, lead, and activity reports attributing partner value.
• Be the "voice of the partner" to internal teams (product, sales, leadership),surface implementation patterns, product feedback, and competitive intelligence from the practitioners closest to the technology.

You may be a good fit if you have:

• 5+ years of experience developing services partners, consulting partners, or specialist VARs in the AI, data, or enterprise software industry.
• Track record of building channel and partner motions from early stage and enabling partners who are themselves building new practices.
• Experience working with boutique consultancies and SIs; understanding of how smaller partners add value to complement GSIs.
• Experience managing an ecosystem across multiple countries, liaising with multiple distributed GTM teams.
• Demonstrated experience with technology products at an early stage of maturity, including APIs and platforms.
• Experience driving revenues across start-ups, digital native and mid-market.
• Very comfortable navigating a high degree of ambiguity and prioritizing work ruthlessly in an exceptionally fast-moving environment.
• Comfortable leveraging AI tooling to multiply impact and efficiency.
• Ability to work autonomously and in virtual teams.
• Willing and able to travel throughout the region.
• Fluent German. Other European languages are a plus.

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. Visa sponsorship: We do sponsor visas!

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 paid time off, and opportunities for growth and development.

XML job scraping automation by YubHub

This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Salary Range: $167,200-$209,000 USD

XML job scraping automation by YubHub

In your first 12 months, you will:

• Own and materially improve Figma's annual planning and forecasting process
• Influence resourcing and investment decisions across the Sales business
• Partner with Strategic Finance, Data Science, and RevOps to improve our ARR data quality and forecasting

This is a full-time role that can be held from one of our US hubs (SF / NY) or remotely in the United States.

Responsibilities

• Drive alignment on KPIs and key metrics to monitor business performance, drive growth initiatives, and provide visibility into operating performance
• Build annual operating plans, quarterly, and monthly financial forecasts
• Develop cross-functional partnerships across Figma to formulate business insight and inform executive decision making
• Own, run, and improve financial processes that support Figma's business
• Partner with Strategic Finance, Data Science, and RevOps to improve our ARR data quality and forecasting
• Prepare and deliver presentations for the Executive Team, including the CFO, CMO, and CRO
• Experiment with AI-driven solutions to automate workflows, enhance accuracy, and elevate the speed and impact of Strategic Finance operations
• Help scale financial operating rhythms as Figma continues to grow
• Become a trusted thought partner to functional leaders and the executive team

Requirements

• 5+ years of relevant experience in investment banking, private equity, strategic finance, Big 4 audit, business operations, or related fields
• Experience in financial planning and creating data-driven analysis
• Demonstrated ability to build processes from scratch and distill complex issues into structured frameworks and develop concrete action plans
• Experience problem-solving independently, organizing workload and priorities, and completing tasks on time
• Experience building relationships and communicating with stakeholders across all levels and functions
• Genuine curiosity and passion in the work that you do

Preferred Qualifications

• Experience at a high growth B2B SaaS company, with bonus points for GTM experience
• SQL/AI tooling experience and deep experience working with large data-sets

Compensation

If based in Figma's San Francisco or New York hub offices, this role has an annual base salary range of $115,000-$245,000 USD. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.

XML job scraping automation by YubHub

These capabilities will be utilized by our Go-To-Market teams, including Solutions Architects and Account Executives, to accelerate technical demos, proofs of concept, and customer engagements.

You will bring consistency to our internal AI tooling stack, establish standards for AI-driven development practices, and scale these capabilities across the department.

A critical aspect of this role is building the infrastructure that enables agent networks to perform with high quality and reliability,including context management systems, data integrations, and supporting tooling.

Additionally, you will develop internal applications and technical tools that enhance the overall lifecycle, track adoption metrics to measure impact, and partner with stakeholders to drive continuous improvement through intelligent automation and AI-augmented workflows.

The impact you will have:

• Architect production-level AI tooling deployments that meet security, networking, and data integration requirements

• Build and maintain internal AI tooling infrastructure for demos, learning, building POCs, and production workflows across platforms, including AI-assisted development environments, Databricks environments, and cloud-based tooling

• Establish consistency in the AI tooling stack by defining standards, best practices, and reusable patterns that enable Field Engineering to build with AI efficiently and reliably at scale

• Build context management infrastructure for agent networks, including vector databases, knowledge bases, and retrieval systems that ensure AI agents have access to the right information at the right time

• Design and implement system integrations to bring data from enterprise sources into AI applications, ensuring secure, scalable, and reliable data flows

• Develop internal applications to streamline Field Engineering workflows, improve demo and builder environments, and accelerate customer engagement velocity

• Track adoption metrics and tooling effectiveness by instrumenting the AI tooling stack, building dashboards, and providing data-driven insights to leadership on adoption rates, productivity gains, and ROI

• Manage AI tooling infrastructure and spend by overseeing cloud costs, monitoring consumption as teams scale, resolving capacity issues, and deploying automation to reduce operational overhead

• Partner with Scale and Technical Enablement teams to develop documentation, AI-powered development patterns, and training materials

• Support Solution Architects with custom proof of concept environments, AI tooling configurations, and technical guidance for customer engagements

XML job scraping automation by YubHub

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

As a Customer Solutions Engineer (CSE) intern, you will work alongside the Customer Success team as a hands-on technical contributor, with opportunities to independently own customer interactions as you ramp up. You are a technical expert and will leverage your knowledge & AI to build tools and processes which ensures our Enterprise customers understand and utilize the Cloudflare platform to its fullest extent.

Responsibilities:

• AI-Driven Automation: Build and implement AI-native tooling and processes to automate technical, customer-facing workloads.

• Customer Technical Expertise: Serve as the trusted technical advisor for regional customers, proactively providing clear guidance and product expertise across the Cloudflare platform.

• Knowledge & Best Practices Sharing: Drive team success by contributing to internal and external documentation, resolving technical Q&A, and helping to iterate on best practices.

Requirements:

• Currently undergoing a bachelor degree in computing or related field

• AI Tooling & Automation: Demonstrated experience building tools with AI and a strong focus on using automation to solve technical and customer-facing challenges.

• Core Technical Knowledge: Foundational understanding of Web Technologies, Internet Security, Computer Networking, along with strong technical troubleshooting skills.

• Technical Curiosity & Adaptability: Passionate about learning new technologies and comfortable working in a fast-paced environment that requires navigating ambiguity.

• Problem-Solving: Proven ability to proactively identify and diagnose complex issues, followed by developing sustainable, preventative solutions.

• Project & Time Management: Ability to manage a project end-to-end, work effectively to deadlines, and prioritize competing demands.

• Communication & Stakeholder Management: Excellent communication and interpersonal skills for managing stakeholders and providing clear technical guidance to Enterprise customers.

• Ability to commit to a minimum 12 week summer internship from May to August 2026.

• In office 3-5 days a week in Singapore.

What will you learn?

A front-row seat to how the global internet stays fast and secure, and learn a hybrid engineering, consulting & AI skill set.

• You will learn how the Internet works. You aren’t just learning networking; you’re learning Internet-scale networking.

• The industry is moving away from centralized “clouds” toward Edge Computing. You’ll learn how to deploy applications to 300+ cities globally in milliseconds.

• You’ll gain the deep technical skills as an engineer while developing your business acumen as a consultant.

• You do not just play with ChatGPT wrappers. In this role, you’re building AI-native tools that make the internet self-configuring & self-healing.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers,at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use,it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal,we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

XML job scraping automation by YubHub

Key responsibilities include:

• Driving high-impact scientific work across GenAI-powered labeling and evaluation systems
• Identifying opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency
• Developing prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows
• Designing rigorous measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
• Partnering with engineering, product, and data science teams to shape roadmaps and productionize successful approaches
• Establishing strong standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
• Creating reusable methods and frameworks that can scale across teams and use cases

Requirements include:

• 10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data
• Deep hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
• Strong experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
• Demonstrated ability to turn ambiguous problems into rigorous analyses, experiments, prototypes, and scalable solutions
• Proven track record of writing high-quality code and using technical work to influence product or platform direction
• Strong cross-functional collaboration skills and a track record of influencing leaders and peers through data and technical judgment
• Strong business and product sense with the ability to define meaningful success metrics and prioritize high-value opportunities
• Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
• Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred

In-office requirement statement: This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation statement: This position is not eligible for relocation assistance.

XML job scraping automation by YubHub

As a Commercial Counsel, you will support the APAC Sales team, leading negotiations for complex and strategic agreements, advise on a wide range of commercial and legal issues, and be an integral part of the build-out of Stripe's commercial legal infrastructure.

Key responsibilities include:

• Supporting the APAC Sales team in leading negotiations for complex and strategic agreements
• Advising on a wide range of commercial and legal issues, including launch of new products to Stripe users and support international expansions
• Being an integral part of the build-out of Stripe's commercial legal infrastructure so that we can scale and operate efficiently at pace with Stripe's exponential growth
• Drafting and maintaining Stripe's agreements and playbooks, leading and contributing projects to improve internal processes, leveraging AI tooling to optimize how we work and collaborate with our clients, partners, and users
• Partnering with teams across Stripe globally, including sales, operations, product, tax, risk groups, and others
• Helping the entire team drive scaled support and efficiency, working collaboratively in a global team to maximize the overall impact of the Commercial Legal team
• Developing and delivering training and other resources to help the Sales team sell our products
• Being a point of escalation for outside counsel

The person we are looking for is:

• Intellectually curious and a creative problem solver
• A self-starter with a bias for action
• A clear and concise communicator (in written and verbal forms), who can distill the key risks and explain complex, nuanced issues in plain and simple terms
• A natural collaborator, able to guide cross-functional teams and drive to a win-win solution
• Familiar with the range of legal issues and commercial risks that arise in connection with hosted data and technology services
• A team player who is willing to do what it takes to contribute to the collective success
• Qualified in at least one APAC region with a law degree or equivalent
• 7+ years of relevant experience in-house or in a technology practice group in a top law firm

It would be preferable but not essential for you to have:

• Fluency in Mandarin and experience supporting the Greater China region
• Experience working in payment or fintech industries and knowledge of associated regulatory issues
• In-house experience advising high-growth companies
• Working knowledge on how to use LLM tools
• Experience in improving legal processes with AI technology
• A working knowledge of data protection laws

XML job scraping automation by YubHub

You will partner closely with Product Management, Engineering, Design, and Go-to-Market teams to drive programs from concept through launch, ensuring high-quality delivery, predictable execution, and strong adoption.

This role balances strategic influence with hands-on execution,translating product strategy into clear delivery plans, managing dependencies and risks, and ensuring launches deliver measurable customer and business impact.

Responsibilities:

• Lead execution of customer-facing features such as Models, Weave, and other emerging products
• Partner closely with Product Management, Engineering, Design, and Go-to-Market teams to drive programs from concept through launch
• Ensure high-quality delivery, predictable execution, and strong adoption
• Balance strategic influence with hands-on execution

Requirements:

• Bachelor’s degree in a technical field or equivalent practical experience
• 7+ years of experience managing large-scale, complex programs in SaaS, Cloud, or ML/AI environments
• Demonstrated experience delivering customer-facing product features and launches end-to-end
• Proven ability to lead cross-functional programs involving Product, Engineering, Design, and Go-to-Market teams

Preferred:

• Master’s degree or advanced technical degree
• Familiarity with ML developer workflows, model lifecycle management, or AI tooling
• Experience influencing product and technical direction to align with long-term platform strategy

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What We Offer

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

XML job scraping automation by YubHub

You will build and own the canonical data models in Snowflake that serve as Alchemy's company-wide source of truth, structure datasets so vendor AI tools perform optimally out of the box, and explore and prototype MCP integrations that let internal teams query data conversationally.

Key responsibilities include:

• Building and owning the canonical data models in Snowflake that serve as Alchemy's company-wide source of truth
• Structuring datasets so vendor AI tools perform optimally out of the box
• Exploring and prototyping MCP integrations that let internal teams query data conversationally
• Eliminating shadow tables and one-off datasets by proactively serving team data needs at the platform level

Requirements include 6+ years in data engineering with strong SQL and deep Snowflake expertise, experience designing efficient, scalable analytical data models, and proficiency with dbt or comparable transformation frameworks.

Benefits include medical, dental, and vision coverage, gym reimbursement, home office build-out budget, in-office group meals, commuter benefits, flexible time off, wellbeing and mental health perks, learning and development stipend, company-sponsored conferences and events, HSA and FSA plans, and fertility benefits.

XML job scraping automation by YubHub

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

What is the Developer Led Growth (DLG) Team?

At the heart of our mission is a simple goal: to make choosing and integrating authentication a delightful experience for every developer.

We’re the DLG team, essentially Product Led Growth (PLG), but for developers using Auth0. We are a high-impact, multidisciplinary engine that includes Developer Relations, Developer Marketing, our Startup Program, Product Activation and Conversion. We don't just move metrics, we build the journey that turns curious developers into lifelong advocates.

Why This Role?

• Great Visibility: You will provide the analytical backbone for the entire DLG organisation, turning cross-functional data into a unified narrative.

• Autonomy: We trust you to own your domain. This isn't a role for a cog in the machine, you’ll have the freedom to identify opportunities and drive the strategy.

• True Variety: From analysing startup ecosystem trends to optimising conversion funnels, no two weeks will look the same.

• Deep Collaboration: You’ll sit at the intersection of product, marketing, and community, working with stakeholders across the entire company to fuel our growth.

If you’re a curious analyst who thrives in a fast-paced, developer first environment and wants to see their work directly influence how the world’s engineers build, we’d love to meet you.

Responsibilities

• Build and maintain Tableau dashboards and reports related to the DLG business

• Build and maintain DBT models and custom SQL queries to analyse DLG business

• Investigate and understand discrepancies in the data

• Help DLG automate and scale processes, find areas of opportunity for process improvements.

• Analyse A/B experiments and DLG initiatives.

• Collaborate with sales, ops, marketing, finance and product to understand their challenges, dive into the data and share insights that solve business problems.

Qualifications

• +5 years of experience working in data analytics-related fields.

• Bachelor’s degree in math, statistics, computer science, economics or relevant field.

• Strong proficiency in SQL and data modelling: cleaning, modelling and transforming large and complex datasets into usable and trusted models.

• Familiarity with DBT (data build tool), Git and Snowflake data warehouse is preferred.

• Working knowledge of visualisation tools, ideally Tableau, and Google Sheets.

• Ability to analyse data discrepancies and troubleshoot data issues.

• Excellent problem-solving skills with the ability to think critically and translate complex data into actionable insights.

• Familiar with AI tooling, e.g. Copilot, Clay.

• Excellent verbal and written communication skills, with the ability to collaborate with cross-functional teams including technical teams (data engineering) and business users (marketing, product, revenue, etc).

• Stakeholder management and prioritisation skills

Nice to have

• PLG experience

• Experience building and working with AI Agents

• Translating complex developer behaviour into product insights

• AB testing experimentation experience

• Revenue modelling and forecasting knowledge

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $114,000-$156,200 USD

XML job scraping automation by YubHub

Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

As a Staff Product Manager, Applied AI, you will define and execute Plaid's external AI strategy for developers and Plaid's customers. You will ensure Plaid is easy to use within AI-native applications, agent workflows, and AI coding environments. You will build developer-facing AI capabilities, shape ecosystem integrations, and drive AI-attributed growth.

Responsibilities

• Define and ship Plaid's AI-ready developer MCP.
• Build a CLI optimized for agent and LLM invocation.
• Improve AI-readability and usability of Plaid documentation and SDKs.
• Design lightweight hobbyist permissioning infrastructure.
• Partner with Go-To-Market to size AI-native opportunities.
• Launch ecosystem integrations and AI platform partnerships.
• Define metrics and measure AI-attributed developer growth.
• Influence long-term AI platform strategy at Plaid.

Qualifications

• 5+ years of product management experience.
• Experience with AI platforms, LLMs, or developer AI tooling.
• Experience building developer-facing products (APIs, SDKs, platform tooling).
• Strong technical fluency and ability to work with engineers on platform architecture.
• Track record of shipping 0>1 initiatives.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

XML job scraping automation by YubHub

The buildings are only part of the story. The real work happens in how people experience them , every interaction, every workflow, every moment where something either feels effortless or doesn't. We're looking for a Product Manager to own some of the most important experiences across Flow's resident and operational ecosystem.

Responsibilities

• Own the roadmap for core resident and operational workflows across the customer lifecycle and day-to-day building experience
• Build deep firsthand understanding of operator workflows by spending time with local teams in-market and observing how work actually gets done
• Identify the highest-leverage opportunities to simplify, automate, or redesign workflows using product, AI-assisted experiences, and self-service where appropriate
• Rapidly prototype solutions using modern AI and product development tools to test concepts before full production investment
• Partner with design, engineering, platform, and operations to turn validated concepts into durable, scalable product
• Define success through clear customer, operational, and business outcomes, and use data to continuously improve the workflows you own
• Evaluate local tools, dashboards, and operator-built workflows to determine what should be productized and scaled across Flow
• Work closely with platform teams to take advantage of emerging internal capabilities across data, workflow, and AI infrastructure
• Balance short-term wins with long-term system quality, making thoughtful tradeoffs in ambiguous and fast-moving environments
• Help create a product culture that values clear thinking, rapid iteration, good taste, and strong partnership with the people closest to the work

Ideal Background

• 6 to 10 years of product management experience, ideally in complex workflow-heavy domains such as fintech, logistics, hospitality tech, vertical SaaS, commerce, or marketplaces
• Track record owning ambiguous product areas end-to-end, from discovery through launch and iteration
• Experience working closely with operational teams, service teams, or frontline users, not just digital consumers
• Strong systems thinking and comfort with products that blend software, operations, and human coordination
• Evidence that you have personally experimented with building AI agents, automations, prototypes, or internal tools, even if you are not a full-time engineer

Technical Skills

• Strong product sense and the ability to turn messy workflows into clear user experiences and product decisions
• Hands-on comfort using modern prototyping and AI tools to build mockups, working flows, or lightweight internal tools as part of product development
• Strong judgment about where AI meaningfully improves a workflow, where it introduces risk, and how to evaluate the difference
• Excellent written and verbal communication, including the ability to drive alignment with operators, designers, engineers, and leadership
• Proficiency with modern product and collaboration tools such as Jira, Confluence, Figma, and current AI tooling

What Sets You Apart

• High agency individual and comfortable creating momentum in ambiguous situations
• Care deeply about understanding users in the real world, especially the people doing the work every day
• Have strong product taste and a bias toward simplicity, clarity, and elegant workflow design
• Can move from strategy to details without losing the thread
• Technically credible with engineering and practically useful with operators
• Low ego, high ownership, and comfortable changing your mind as new information emerges
• Keep up with the latest models, tools, and workflow patterns well enough to know when new capabilities materially change what the product can do
• Energized by the idea that AI should improve how products are built and how work gets done, not just add novelty

Why Join Flow?

• Help reimagine what it means to live, work, and connect in communities designed around people
• Build products that improve the everyday experience of residents and the teams who support them
• Join a company with ambitious goals at the intersection of real estate, hospitality, technology, and community
• Be part of a team that is still early enough to shape how the product, operating model, and standards evolve
• Flow's mission is oneness: fostering connection with ourselves, our neighbors, and the natural world.

XML job scraping automation by YubHub

We believe in a world where homes are owned by regular people, not corporations. Our mission is to provide authentic belonging experiences, empowering residents to become homeowners and homeowners to achieve financial freedom.

The Role

Belong is looking for an AI Automation Engineer to help transform real-world operations through practical, high-impact AI solutions. You’ll be building and shipping AI-powered workflows that directly improve how our teams operate and how our customers experience Belong.

Responsibilities

• Build AI-powered applications and workflows that automate and enhance real-world business operations, including evaluation and safety mechanisms.
• Rapidly prototype AI-driven solutions, validate them in real scenarios, and evolve them into production-ready systems.
• Integrate AI capabilities into backend services, internal tools, and external platforms through well-designed APIs and services.
• Own AI-driven initiatives end to end, from early experimentation to production deployment, proactively leveraging AI code generation tools to confidently contribute across the backend and frontend stack when needed.
• Work closely with product, operations, customer support and engineering teams to identify automation opportunities and deliver meaningful impact.

What We’re Looking For

• Strong programming skills in Python and/or TypeScript.
• Solid software engineering fundamentals and experience building and shipping production systems.
• Experience deploying, operating, and iterating on AI-powered applications.
• Familiarity with modern AI tooling, agent frameworks and workflow orchestration tools.
• A proactive mindset with a strong sense of ownership and the ability to drive initiatives forward.
• Clear communication skills and a collaborative approach to working in cross-functional teams.

Why Belong

• We’re tackling one of the biggest, most broken industries (housing) and creating something entirely new.
• You’ll work alongside world-class founders and leaders who have scaled successful companies.
• AI isn’t a side project here, it’s at the core of our strategy and product roadmap.
• Competitive compensation, equity, and benefits.
• Ownership, autonomy, and the opportunity to build something that matters.

If you’re excited about building practical AI solutions, owning problems end to end, and pushing what’s possible in real-world operations, we’d love to talk. Apply now.

XML job scraping automation by YubHub

We are seeking a skilled Firmware Design Engineer to join our team. As a Firmware Design Engineer, you will be responsible for designing, implementing, and validating firmware for embedded microprocessors in advanced SerDes and PHY IP.

Key Responsibilities:

• Architect, implement, and validate firmware for embedded microprocessors in advanced SerDes and PHY IP.
• Lead silicon bring-up and debug cycles, supporting lab triage, instrumented root-cause analysis, and cross-functional closure with design, DV, validation, and applications teams.
• Apply mixed-signal debugging expertise to isolate HW/FW boundary issues, leveraging knowledge of analog behavior, clocks/resets, power states, and link training.
• Develop high-quality embedded code in C/C++, ensuring robust design reviews, code reviews, unit testing, and disciplined defect prevention practices.
• Scale automation through CI/CD pipelines using Jenkins and test frameworks to improve coverage, reliability, and release confidence.
• Define validation strategies, create automated test cases, and drive coverage analysis across multiple firmware projects.
• Build and maintain AI-assisted firmware workflows using tools such as Cursor, focusing on prompt/trace hygiene, guardrails, and verification practices.
• Operationalize agentic AI patterns for firmware development, including planning, code generation, refactoring, test creation, log triage, and regression analysis with explicit human review points.
• Author and curate reusable rules, skills, and commands to standardize AI usage (coding standards, spec templates, “definition of done,” test expectations, and safety checks).
• Lead process maturity initiatives, driving adoption of coding standards, branching/release hygiene, documentation quality, and review discipline, making adherence measurable.
• Operationalize status and quality tracking via JIRA dashboards and Confluence, providing clear, repeatable reporting on best-practice and AI-workflow adoption.
• Mentor and provide technical leadership, elevating team capability through coaching, review guidance, and hands-on problem solving in critical debug cycles.

Requirements:

• Embedded firmware experience: 5+ years building and debugging embedded firmware for silicon products (bring-up, lab debug, sustained maintenance).
• Programming: Expert in C/C++; strong scripting proficiency in Python (plus Bash and/or Tcl).
• Debug: Demonstrated strength in silicon bring-up, lab instrumentation, and HW/FW boundary root-cause analysis.
• Mixed-signal systems: Practical experience debugging systems involving analog and digital behavior (SerDes/PHY, clocking, resets, power, signal integrity impacts).
• Validation and automation: Proven ability to build automation, test frameworks, and coverage strategy; experience with Jenkins CI/CD.
• AI tooling: Hands-on experience using Cursor (or equivalent) in production engineering workflows, including building reusable prompts/workflows and enforcing verification/quality gates.
• Agentic workflows: Experience defining agentic workflows with clear boundaries, review points, and safety rails (including when not to use AI).
• Process leadership: Track record of scaling best practices across a team (reviews, test discipline, release hygiene, documentation standards).
• Collaboration: Strong cross-functional communication across firmware, hardware/design, DV/validation, and multi-site teams.
• Education: BSEE/MSEE (or equivalent practical experience).

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

XML job scraping automation by YubHub

As a senior developer at BlackRock, you'll work for a leading financial company and be part of a team creating next-generation technology. You will be working as a key member of our core Private Markets technology team, based in London, and will be responsible for delivering high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles.

Your Responsibilities

• Work closely alongside the Engineering Lead to deliver on the technical strategy for your team.
• Collaborate directly with colleagues across Private Markets and the wider Aladdin organization to build and deliver market leading software at pace.
• Deliver high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles.
• Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications.
• Design, develop, and implement secure, scalable, and reliable micro-services to deliver client-facing applications using a Java backend and React frontend.
• Optimize performance and reliability through continuous testing, debugging, and refinement.
• Stay abreast of industry trends and emerging technologies to drive innovation and maintain a competitive edge, with a particular focus on AI.
• Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team.

Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ years of professional experience in Java development, with a focus on building client-facing APIs or platforms
• Strong written and verbal communication skills, with experience managing and mentoring diverse teams.
• Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases).
• Experience integrating AI/ML services into backend systems and APIs.
• Familiarity with AI-driven development practices and tools for code generation and testing.
• Strong proficiency in Java and related frameworks (e.g. Spring Boot, Hibernate).
• Some experience in React or similar, and modern JavaScript/TypeScript.
• Solid experience with object-oriented design and applying standard design patterns
• Experience designing, building, and deploying scalable microservices using API-first principles with REST and/or gRPC.
• A strong appreciation for best practices, attention to detail, and building secure and stable systems.
• A collaborative mindset, with a drive to build high-quality software efficiently.
• Experience with API authentication and authorisation mechanisms (e.g. OAuth, JWT).
• Hand-on experience with engineering tools such as Git, Maven, unit and integration testing frameworks, and mocking libraries.
• Excellent problemsolving skills and attention to detail.
• Exposure to Docker, Kubernetes, and cloud services in an enterprise environment is beneficial.
• Experience with message brokers such as Kafka a plus.
• A friendly, positive, and cando attitude.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

XML job scraping automation by YubHub

In this role, you will work closely with the Tech Lead (CMS Proof) and another Full Stack Developer to deliver a scalable, efficient, and forward-thinking platform. A significant part of your work will involve implementing new AI improvements to support the Editorial Efficiencies strategic initiative, helping to integrate cutting-edge AI tools directly into our content workflows.

Responsibilities

• Feature Development: Build robust, scalable features for the CMS Proof using PHP (backend) and ReactJS/NextJS (with TypeScript)(frontend), ensuring high performance and responsiveness.
• AI Integration: Work on implementing AI-driven workflows and tools to enhance editorial efficiency, utilizing Temporal for orchestration.
• Technical Collaboration: Collaborate closely with the Tech Lead to refine system architecture and ensure technical decisions align with the long-term product vision.
• Code Quality: Write clean, maintainable, and well-documented code. Participate in code reviews to ensure standards are met and to mentor junior team members (for Senior applicants).
• Testing & QA: Write and maintain comprehensive test suites (unit, integration, E2E) to ensure platform stability and prevent regressions.
• DevOps & CI/CD: Utilize CI/CD pipelines for deployment and help improve developer tooling and local environment setups (containers).
• Innovation: Participate in hack days and continuous learning to bring new ideas and technologies (specifically around AI and modern web dev) to the team.

Requirements

• Web Development: Strong experience in modern web development with PHP, NextJS/React, and TypeScript.
• Core Technologies: Deep understanding of JavaScript and CSS fundamentals, including modern features and best practices.
• TypeScript: Proficiency with TypeScript, including the ability to work with complex types.
• Component Architecture: Ability to build performant, reusable UI components in modern JavaScript frameworks.
• Backend Experience: Significant experience with API development and backend logic.
• Performance Mindset: Ability to interpret performance metrics (e.g., Flame graphs, Core Web Vitals) to optimize applications.
• Workflow Orchestration: Experience with, or a strong desire to learn, Temporal or similar workflow engines.
• Data Handling: Experience retrieving and marshalling data from various sources, including databases (MongoDB) and external APIs.
• Version Control: Good understanding of Git and collaborative workflows (e.g., GitFlow, PR reviews).
• Communication: Ability to explain technical concepts clearly to colleagues and stakeholders.

Benefits

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Well-being support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

Who We Are

We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are.

Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive.

When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table — it's about making sure the table has room for everyone.

Because a diverse team isn't just good for business. It's the Future.

Find out more about Our Future, Our Responsibility on our website.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

XML job scraping automation by YubHub

Helpshift is looking for a Senior UX Designer to lead the design of customer-support and player-engagement experiences that impact millions of users worldwide. You will drive end-to-end design for Helpshift’s rapidly evolving AI-first support platform, working across complex problem spaces and ambiguous product areas. In this role, you won't just design interfaces, you'll shape how global brands deliver support at scale. You’ll work on AI agents, proactive engagement, and large-scale product refresh initiatives, turning complex workflows into intuitive and human-centered experiences.

Responsibilities

• Drive the full design lifecycle: discovery → IA → flows → wireframes → prototypes → polished UI.
• Translate business and product goals into clear, actionable design direction and thoughtful user experiences.
• Collaborate cross-functionally with Product and Engineering to define user-centered outcomes, prioritize scope, and build iterative solutions across areas like AI Agent, Proactive Engagement, and product modernization.
• Lead problem framing, ideation, and concept development to simplify complex workflows.
• Conduct and synthesize user research (interviews, usability tests, behavioral insights) to validate decisions.
• Elevate UX quality by contributing to design critiques, mentoring peers, and shaping Helpshift’s design culture.
• Guide, support, and mentor junior designers, helping them improve their craft, decision-making, and overall impact.

Requirements

• 5+ years of experience in UX/Product Design, HCI, or related fields(or equivalent experience solving complex product problems)
• A strong portfolio showcasing end-to-end design process and clear problem solving is a must.
• Depth in core design fundamentals: interaction design, IA, UX writing basics, visual hierarchy, and accessibility.
• Proficiency in research methods such as discovery interviews, usability studies, and data-driven iteration.
• Strong mastery of design tools, especially Figma.
• Excellent communication and storytelling skills, with the ability to align and influence cross-functional partners.
• Degree in Design, HCI, Computer Science, or related fields is a plus (not mandatory).

Preferred Qualifications

• Experience designing AI-powered, conversational, or agent-based interfaces.
• Familiarity with, or direct experience in, user research activities such as interviews, usability testing, and synthesis is a strong advantage.
• Background in SaaS, customer support, or workflow-driven products.
• Familiarity with analytics platforms and using data to shape product decisions.
• Experience contributing to or building design systems.
• Understanding of design patterns across web and mobile platforms.
• Comfort working with AI tooling and prototyping (e.g. v0, Loveable, Bolt, Figma Make)

What You’ll Bring

• A portfolio demonstrating strong craft, clarity of thinking, and real problem-solving depth.
• Passion for simplifying complex, technical, or heavily workflow-driven experiences.
• Ability to thrive in ambiguity and drive clarity for others.
• High collaboration quotient and openness to learning from peers.
• A natural inclination to help, guide, and elevate junior designers through feedback, coaching, and design reviews.
• A growth mindset and continuous desire to up-level the quality of your work.

Technical & Executional Skills

• Ability to research and understand user behaviors, needs, and motivations through observation techniques, task analysis, and other feedback methodologies
• Experience in Design Expert Evaluation techniques like Heuristics and competitive benchmarking

Leadership & People Management Skills

• Ability to mentor junior team members and form a cohesive delivery and learning environment.
• Lead and handle multiple projects simultaneously and ensure successful delivery.
• Work collaboratively with other design disciplines to ensure continuity, leverage other specializations, and maintain holistic perspective.
• Handle conflicts, expectations and quality of deliverables of team members.

Interpersonal Skills

• Positive attitude, proactive and helpful
• Strong team player
• Ability to motivate others
• Problem solver (not just good at pointing them out) and negotiator
• Strong listening and communication skills
• Solid organizational skills and attention to detail

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

XML job scraping automation by YubHub

We're hiring Field Engineers to partner with prospective and strategic enterprise customers. As a Field Engineer, you'll be the technical face of Anysphere in the field — helping customers evaluate Cursor, guiding them through proofs of concept, and ensuring they see the full value of AI in their engineering workflows.

You'll work hand-in-hand with Sales, Product, and Engineering to scope solutions, demonstrate capabilities, and act as a trusted advisor to technical stakeholders. This is a highly customer-facing role where you'll combine deep technical fluency with strong communication skills to drive adoption and influence product direction.

What you'll do

• Partner with Account Executives to lead technical discovery, demos, and proof-of-concept engagements.

• Build trusted relationships with engineering leaders, architects, and developers, serving as their technical advisor.

• Translate customer requirements into solution designs, guiding them on best practices for rollout, prompt strategy, and context configuration.

• Develop and deliver technical presentations, whiteboard sessions, and hands-on workshops tailored to customer needs.

• Act as the customer's technical advocate internally, influencing roadmap priorities and escalating feedback to Product and Engineering.

• Collaborate with post-sales teams to ensure a smooth handoff and successful customer onboarding.

• Maintain deep knowledge of Cursor's capabilities and competitive landscape to position our value effectively.

• Support strategic account planning and help drive expansion opportunities with technical validation.

You may be a fit if

• Strong communication skills and executive presence — equally comfortable coding alongside developers or presenting to CTOs.

• Deep understanding of the software development lifecycle, modern engineering org structures, and developer productivity challenges.

• Hands-on technical ability — you don't need to be a full-time engineer, but you should be fluent in technical workflows, AI tooling, and debugging complex environments.

• Customer-obsessed with a knack for translating technical details into business impact.

• Experience in Field Engineering, Solutions Architecture, Pre-Sales, or Consulting for enterprise software.

• Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions.

XML job scraping automation by YubHub

We're hiring a Field Engineering Manager, West to build and lead a high impact pre-sales Field Engineering team supporting our fastest growing enterprise accounts. This role sits at the intersection of Sales, Product, and Engineering and is responsible for ensuring our technical pre-sales motion scales with quality, speed, and credibility.

As the Field Engineering Manager, you'll manage and develop Field Engineers who partner closely with AEs to run technical discovery, demos, and proofs of concept. You'll also stay close to customers and deals yourself, coaching in real time, unblocking complex evaluations, and ensuring Cursor is positioned as the best AI-native development platform on the market.

This is a hands-on leadership role for someone who combines technical fluency, strong people management, and excellent cross-functional judgment.

What you'll do

• Lead, coach, and scale a team of Field Engineers supporting enterprise opportunities across the West region.

• Partner closely with Sales leadership and AEs to drive high quality technical discovery, demos, and POCs.

• Establish best practices for evaluations, proof-of-concept execution, and technical deal strategy.

• Serve as an escalation point for complex customer evaluations and high-stakes enterprise deals.

• Hire, onboard, and develop top-tier Field Engineering talent; set clear expectations and career paths.

• Act as the voice of the field internally, feeding customer and prospect insights back to Product and Engineering.

• Ensure tight handoffs with post-sales teams to support successful customer onboarding and adoption.

• Maintain deep knowledge of Cursor’s product, roadmap, and competitive landscape.

You may be a fit if

• Have 4+ years experience leading Field Engineers, Solutions Architects, or Pre-Sales teams in enterprise software.

• Strong technical foundation and fluency in modern software development workflows, AI tooling, and developer productivity.

• Proven ability to partner effectively with Sales while maintaining technical integrity and customer trust.

• Comfortable operating in customer-facing, high-pressure deal environments and guiding teams through complexity.

• Strong communication skills and executive presence, able to engage developers, architects, and CTOs.

• Builder mindset: thrives in fast-moving, startup environments and enjoys creating structure where little exists.

Name Email ↥ Upload file LinkedIn URL GitHub Profile

Please write a short note on a project you're proud of:

Will you now or in the future require visa sponsorship to work in the country where this position is located?

Has someone at Cursor referred you for this role? If so, please include their email here

XML job scraping automation by YubHub

As an early member of Cursor's data team, you'll help build an AI data program operating at incredible scale while partnering directly with founders and area leads. You'll work hands-on across the entire data stack and at the bleeding edge of AI, turning billions of user-AI interactions into strategy that gets users to 'aha' faster and expands their usage.

What you'll do

• Partner with area leads to shape data-informed decisions across the business.
• Define, track, and own metrics like power usage and user satisfaction that multiple teams and leadership depend on.
• Run experiments end-to-end: design, analyse, and translate into clear product recommendations.
• Build pipelines, dashboards, and analyses that make self-serve insights accessible and trustworthy.
• Establish data culture and foundations as an early member of the data team.

You may be a fit if

• You have at least 2-4 years of full-time data science experience.
• You have a strong track record of shipping high-impact work when operating in ambiguity.
• You can turn complex data into clear insights and stories for engineers, PMs, and execs.
• You've worked at a hyper-growth startup or research org—you know how to be scrappy and ship insights across multiple product areas.
• You're fluent in SQL, Python, and AB testing, and can write pipelines to unblock yourself.

Bonus points if

• You have hands-on experience with dbt.
• You have experience working on productivity software or AI tooling.

Name Email ↥ Upload file LinkedIn URL GitHub Profile

Please write a short note on a project you're proud of:

Will you now or in the future require visa sponsorship to work in the country where this position is located?

Has someone at Cursor referred you for this role? If so, please include their email here

XML job scraping automation by YubHub

Research Scientist, Mathematical Sciences

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $380K – $445K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights—training data, evaluation methods, and techniques—to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment.

As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster.

About the Role

As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research—in fields such as mathematics, theoretical physics, and theoretical computer science—forward. You’ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact.

We’re looking for people who…

• Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field

• Regularly use frontier models in their own research

• Move easily between theory and code, and are eager to contribute technically as well as academically

• Either know or are eager to learn modern AI and run AI experiments end-to-end

• Are strong scientific communicators

• Care about rigor and reproducibility in scientific results

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

• Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems

• Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based)

• Design reinforcement and grading signals for mathematical sciences and run reinforcement learning/optimization loops to improve model reasoning

• Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time

• Partner with research labs and the academic community

• Drive adoption of frontier AI within the scientific community

• Uphold high standards for safety, data governance, and reproducibility

You might thrive in this role if you

• Are passionate about pushing the boundaries of your field using AI

• Have used ChatGPT to do calculations and prove or improve lemmas in your field of study

• Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia

Nice to have

• Open-source contributions to mathematical science or AI tooling

• Experience building or curating domain datasets and benchmarks

• Experience engaging a research community (teaching, workshops, tutorials, standards)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub