Location: Remote Poland
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Engineering team
The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.
About the team
Affirm’s Communications team builds and modernizes the highly available platform that delivers billions of customer messages reliably and on time across the customer journey. As a senior backend engineer, you will shape multi-region, multi-tenant infrastructure, APIs, and vendor integrations that help product teams communicate with customers at scale.
What you’ll do
You will own and deliver quarterly technical goals for the Communications area, collaborating with teammates to solve ambiguous, open-ended problems across messaging infrastructure.
You will design and evolve reliable backend services for high-volume communications across multi-region, multi-tenant environments, including orchestration, delivery, preferences, templates, and observability.
You will collaborate with product management, design, analytics, security, and engineering partners throughout the product lifecycle, articulating technical constraints and balancing customer impact, risks, and trade-offs.
You will design, implement, and operate resilient integrations with external messaging vendors, balancing reliability, latency, cost, and compliance.
You will proactively identify and solve project, process, technology, or business issues that affect scalability, developer experience, and operational resilience.
You will support the operations and availability of your team’s services by defining service-level objectives and metrics, improving alerting and incident response, and participating in on-call efforts.
You will foster quality and ownership by improving design, testing, code review, rollout, and operational standards, and advocating for them through writing and tech talks.
You will help develop talent on your team by providing feedback, mentorship, and technical direction, and leading by example.
On-Call Rotation - There would be an on-call rotation for this role as a requirement.
What we look for
You have 5+ years of experience in software development or engineering, with a deep understanding of system design and architecture.
Proficiency in modern programming languages such as Python, Kotlin, or similar.
You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, DynamoDB, and Kubernetes.
You have experience designing multi-region, multi-tenant platforms with strong isolation, scalability, failure recovery, and data-consistency guarantees.
You have experience integrating with third-party communications or messaging vendors and designing abstractions that account for different capabilities, rate limits, and failure modes.
You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
You are proficient with AI-assisted development tools and apply sound judgment to validate their outputs.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Total rewards
We believe the people building honest financial products at Affirm should share in its success. That's why our total rewards are designed to support your health, growth, financial well-being, and future.
In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits.
Base Pay Grade
- N
308,000 zł - 428,000 zł
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills.
In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm’s parent company grows, employees have the opportunity to share in that growth financially.
Equity Grade - 4 (awarded in US Dollars)
Affirm Holdings, Inc. Equity Grade example
Equity grade: 4
New hire equity: $32,000-$48,000
Annual Refresh: $10,000
Reward equity: $0-$150,000
Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month.
In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include:
Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge.
Comprehensive private healthcare through Lux Med's Platinum package.
A MultiSport card to support your health and well-being.
Learning and development programs to help you grow professionally.
Family healthcare support through Maven and parental leave support through Parentaly.
Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members.
Financial well-being support through Northstar, with unlimited access to Certified.
Financial Advisors and planning tools at no cost to you.
Employee Resource Groups (ERGs) that foster connection and inclusion.
Eligibility for creative tax benefits, subject to applicable law, role, and company policy.
Location - Remote Poland
The majority of our roles can be located anywhere in Poland.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote Spain
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Engineering team
The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.
About the team
Affirm’s Communications team builds and modernizes the highly available platform that delivers billions of customer messages reliably and on time across the customer journey. As a senior backend engineer, you will shape multi-region, multi-tenant infrastructure, APIs, and vendor integrations that help product teams communicate with customers at scale.
What you’ll do
You will own and deliver quarterly technical goals for the Communications area, collaborating with teammates to solve ambiguous, open-ended problems across messaging infrastructure.
You will design and evolve reliable backend services for high-volume communications across multi-region, multi-tenant environments, including orchestration, delivery, preferences, templates, and observability.
You will collaborate with product management, design, analytics, security, and engineering partners throughout the product lifecycle, articulating technical constraints and balancing customer impact, risks, and trade-offs.
You will design, implement, and operate resilient integrations with external messaging vendors, balancing reliability, latency, cost, and compliance.
You will proactively identify and solve project, process, technology, or business issues that affect scalability, developer experience, and operational resilience.
You will support the operations and availability of your team’s services by defining service-level objectives and metrics, improving alerting and incident response, and participating in on-call efforts.
You will foster quality and ownership by improving design, testing, code review, rollout, and operational standards, and advocating for them through writing and tech talks.
You will help develop talent on your team by providing feedback, mentorship, and technical direction, and leading by example.
On-Call Rotation - There would be an on-call rotation for this role as a requirement.
What we look for
You have 5+ years of experience in software development or engineering, with a deep understanding of system design and architecture.
Proficiency in modern programming languages such as Python, Kotlin, or similar.
You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, DynamoDB, and Kubernetes.
You have experience designing multi-region, multi-tenant platforms with strong isolation, scalability, failure recovery, and data-consistency guarantees.
You have experience integrating with third-party communications or messaging vendors and designing abstractions that account for different capabilities, rate limits, and failure modes.
You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
You are proficient with AI-assisted development tools and apply sound judgment to validate their outputs.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Compensation & Benefits
Pay Grade - N
Equity Grade - 4
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
ESP base pay range per year: €86,000 - €122,000
Additional benefits include:
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups
Location - Remote Spain
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: AU: Sydney (45 Clarence St)
Workplace: Hybrid
The role & impact
As an Engineering Manager in our Machine Learning & AI team, you'll lead a high-performing, inclusive team of engineers building and operating AI-powered experiences and capabilities across Xero. The team's work spans traditional machine learning, from predictive models and intelligent automation through to LLM-powered and agentic AI experiences that bring new ways for customers to interact with and get value from Xero.
- You'll lead engineering across a broad range of technology surfaces, from customer-facing AI experiences and intelligent product workflows to the backend services, platforms and infrastructure that power them. You'll help turn research, models and emerging AI capabilities into reliable, secure and scalable production products that make a real difference for millions of small businesses.
- You'll balance predictable delivery with a relentless focus on engineering quality and system health, building our maturity across MLOps, LLMOps, observability, evaluation and the operational practices needed to run AI systems in production. As AI continues to evolve, you'll also champion AI-native engineering practices and help your team adapt how we design, build, test and operate software.
- Working closely with senior individual contributors, including staff and principal engineers, you'll help shape technical direction while focusing on team growth, delivery excellence and sustainable engineering practices. This is a role for someone who wants to build both the systems and the people that enable Xero to deliver AI-powered products at scale.
The team & how they connect
You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team partners closely with Applied Science, Data Engineering, Product and other engineering teams to bring AI capabilities from research and experimentation into production.
Our scope goes beyond building and serving models. We build the end-to-end engineering capabilities that bring AI to life in Xero's products, spanning traditional ML-powered automation and predictions, conversational AI assistants, LLM-powered workflows and agentic experiences. This means working across the full stack, integrating AI into customer experiences and product workflows while building the front end & backend services, platforms and infrastructure needed to make those experiences safe, reliable and scalable.
It's a collaborative, evolving space where you'll help translate advances in ML and generative AI into practical customer outcomes, while building the engineering foundations to support the next generation of AI-native products.
The team is currently working on
- Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production.
- JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences.
- Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks.
- XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale.
- End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.
Where and how you can work
We support a flexible working model that empowers you to balance your professional and personal life. You'll have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment.
Here are some of the things we're looking for, for this role
- You'll bring a strong track record of leading, coaching and developing engineers, building team capability and creating an environment where people can do their best work.
- You have strong technical judgement across architecture, system design and engineering trade-offs, and can guide decisions across a broad and evolving technology landscape.
- You've translated business goals into executable engineering plans, balancing near-term delivery with long-term technical health and maintainability.
- You're experienced in delivering roadmaps predictably in fast-paced, evolving environments, navigating ambiguity and adapting as priorities and technology change.
- You understand what it takes to build and operate production-grade software, from customer-facing experiences and backend services through to distributed systems, platforms and infrastructure.
- You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team, support an incident or help resolve a complex technical challenge.
- Experience with machine learning, generative AI or AI-powered products is a bonus rather than a requirement. You don't need to be an ML specialist, but genuine curiosity about the space and an appetite to learn how these technologies are changing software engineering will help you thrive here.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; 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 is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search.
Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude.
That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work.
This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it.
Key responsibilities
Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface
Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call
Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control
Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves
Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results
Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies
Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability
Share the on-call for the systems you own
Minimum qualifications
Experience building and operating user-facing products used by a large number of people, including the backend services behind them
Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design
Strong programming skills in Python and TypeScript, with experience across backend services and web front ends
A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback
Experience defining product metrics and running experiments to make decisions
Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users
Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners
Interest in AI safety and Anthropic's mission
Preferred qualifications
Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one
Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking
Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking
Experience on consumer products with strong retention, or on personalization systems
Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA
Experience with latency-sensitive, performance-critical product work
Experience mentoring engineers or setting technical direction for a team
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
What you’ll work on Build ARCore-based capture workflows for scanning real-world environments. Work directly with ARCore sessions, tracking states, camera poses, anchors, and coordinate systems.
Location: Tokyo, Japan
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
In this position, you'll play a crucial role in shaping our go-to-market strategy and driving data-informed decision-making within the Japan/APAC region. This position sits at the intersection of sales, strategy, and operations, offering the opportunity to significantly impact Notion's growth trajectory. You'll work closely with sales leadership and cross-functional teams to optimize processes, deliver actionable insights, and support key strategic initiatives. You will report directly to the Head of Field Strategy & Operations.
WHAT YOU'LL ACHIEVE:
- Partner with Japan leadership team to define and drive strategy (e.g. territory mapping, long-term account planning, geographic expansion) and results for the region by conducting insightful analysis on local Japan markets and customers while providing support for other APAC priorities as needed.
- Support regional sales leaders and sales teams in achieving their goals by providing actionable insights and visibility to sales performance metrics
- Build reporting and presentations for Japan/APAC sales leadership to update on the state of the business, both up and across the organization
- Act as a partner to the Japan/APAC sales team, providing hands-on operational support to drive deals forward and advising with decision-making
- Enable smooth, efficient deal execution by supporting day-to-day deal operations, including opportunity hygiene, quote preparation, and coordination of approvals and internal handoffs, helping sellers navigate processes and remove friction throughout the deal lifecycle
- Partner with the GTM Systems team to continuously enhance our sales technology stack to provide both a best-in-class experience for our sellers and a robust sales data environment
- Work with cross-functional teams including Legal, Finance, Product, Marketing, etc. as the primary operational counterpart on behalf of the Japan/APAC sales org
- Maintain and embed global sales policies, processes, and procedures, driving discipline with regards to strategy execution
- Support global planning process locally, including target setting, capacity modeling, territory carving, etc.
- Surface on-the-ground observations and insights to global sales and RevOps leadership
SKILLS YOU'LL NEED TO BRING:
- 5+ years of strategy, operations, and analytics experience with a track record of driving growth - working in sales operations, preferably in a high-growth SaaS environment
- Expertise to quickly drill down into the business funnel for outbound and inbound sales motions, and how that connects to revenue
- Excellent analytical and quantitative modeling skills; ability to analyze and interpret data, provide actionable insights, and deliver measurable results
- Expert proficiency with core sales tools (e.g. Salesforce, Gong, Outreach, etc.) and best practices for sales data management
- Ability to apply AI-powered tools to accelerate analysis, uncover trends, and translate complex sales data into actionable business insights. Comfortable framing analytical questions, iterating on prompts, and validating AI-generated outputs with sound business judgment and rigorous data checks, while handling sensitive information responsibly
- Strong collaborator, works well with stakeholders, gains trust, enjoys working with people
- Demonstrates a senior presence and can convey complex information to executives clearly and concisely; can resolve tradeoffs. Effective communicator across levels and audiences
- Hands on and proactive, with a builders mentality.
- Maintaining high ownership mentality, demonstrated by developing projects of >6-12 months length
- Notion power user or desire to learn -- prior Notion experience is not required, but you have the ability and desire to become a pro
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Hybrid
About Us
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. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Tokyo, Japan
About the Role
Partner Account Managers, Account Executives, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations – all working together help our customers adopt Cloudflare and create great internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community.
Responsibilities
What you'll do
We are looking for a Partner Account Manager to join the Japan Partner Sales team to drive sales plays and go-to-market strategy with our partners across Japan.
In this role, you’ll develop and execute strategies to drive adoption and revenue growth with partners throughout Japan. You will lead the development of joint business plans, manage partner driven pipeline, and joint co-sell opportunities, work with senior partner stakeholders to align on mutual growth objectives, and ensure partners have the resources and support needed to drive partner-sourced revenue.
As a Partner Account Manager, you will be responsible for developing, managing, and optimizing key partner relationships across the region, including driving the full sales lifecycle from opportunity registration to deal closure. You will influence partners’ go-to-market strategies, manage and optimize partner incentive programs, and collaborate closely with internal teams to achieve revenue targets and strategic goals.
Strategy & Planning: Develop and execute strategies to achieve partner and sales organization goals, including go-to-market initiatives and sales plays. This will also include collaboration with sales teams on joint partner territory planning and alignment to maximize partner-sourced revenue.
Relationship Management: Build and maintain strong business and technical relationships with strategic partners (resellers, GSIs, MSPs) and internal teams.
Sales Execution: Manage and drive partner pipeline, co-sell opportunities, and new customer engagements to generate CF driven revenue and market adoption.
Value Creation: Advise sales teams and customers on the value of partner engagement, helping to create and launch new bundles and offerings.
Enablement & Growth: Create and drive enablement plans, including advanced training and certifications for both sales and technical teams and support partner market expansion in new verticals and geographies.
Business Reviews: Prepare and deliver regular business reviews to leadership, presenting metrics, progress, and overall business health.
Managing partner programs, including MDF, SPIFF, and other incentive programs, to drive growth and success.
AI-Enabled: Embed AI tools and workflows across the partner lifecycle and raise the bar for how Cloudflare and our partners work together in an AI-first way. Coach partners to evolve their joint planning, technical enablement, and customer engagement motions alongside ours.
Desirable Skills, Knowledge, and Experience
3-5 years of experience in partner management, SaaS, Cloud Infrastructure, or Security sales and channel management.
Proven track record of developing and executing strategies that drive partner-sourced revenue and business growth.
A keen sense of ownership, drive, and ability to deliver in ambiguity
Experience working with senior-level executives within partner organizations to align on business objectives and drive results.
Strong understanding of cloud infrastructure, SaaS, and security solutions.
Expertise in partner programs, including tiered partner structures and managing partner incentives like MDF and SPIFF.
Ability to manage complex, global partner relationships and influence partner strategies.
Strong communication and presentation skills, capable of engaging with senior executives and internal stakeholders.
Experience in leading cross-functional teams, mentoring junior team members, and driving collaborative initiatives across multiple departments.
Ability to travel up depending on business needs.
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!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
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.
Location: San Francisco; Seattle; New York City
ABOUT THE ROLE
The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes.
This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate.
KEY RESPONSIBILITIES
- Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state.
- Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes.
- Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability.
- Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls.
- Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost.
- Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety.
- Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes.
QUALIFICATIONS
- 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation.
- Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications.
- Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack.
- Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows.
- Deep expertise in at least one of the following:
- Evaluation infrastructure, benchmark design, and automated grading.
- Agent harnesses, tool interfaces, and reusable skills for complex workflows.
- Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows.
- Model selection, routing, and inference efficiency, including context management and caching.
- Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise.
- Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements.
- A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship.
If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
Location: San Francisco; Seattle; New York City
ABOUT THE ROLE
The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes.
This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate.
KEY RESPONSIBILITIES
- Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state.
- Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes.
- Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability.
- Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls.
- Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost.
- Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety.
- Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes.
QUALIFICATIONS
- 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation.
- Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications.
- Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack.
- Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows.
- Deep expertise in at least one of the following:
- Evaluation infrastructure, benchmark design, and automated grading.
- Agent harnesses, tool interfaces, and reusable skills for complex workflows.
- Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows.
- Model selection, routing, and inference efficiency, including context management and caching.
- Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise.
- Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements.
- A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship.
If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
Location: Germany
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
As a Sales Engineer, you will be part of our fast growing Go To Market organization and will play a crucial role in expanding our business and ensuring our clients understand and utilize our technology to its full potential. Your work will have a direct impact on our bottom line and customer satisfaction
Requirements:
Based in Germany (or open to relocation)
Proven Sales Engineer experience in cloud, AI, or related tech fields.
Exceptional presentation skills for conveying complex ideas in a compelling manner.
In-depth knowledge of cloud tech, Kubernetes, and AI/ML concepts.
Successful track record in building client relationships and exceeding sales goals.
Excellent communication, negotiation, and problem-solving skills.
Willingness to travel as needed.
Fluency in scripting languages (Python, Bash, Powershell, etc.).
Fluency in German
Responsibilities
:
Guide sales teams with technical expertise to ensure clients grasp the value of our products.
Conduct captivating product demonstrations, simplifying complex technology for diverse audiences.
Customize and deliver persuasive presentations tailored to meet client needs.
Evaluate client technical needs, proposing solutions and collaborating with technical teams for customization.
Stay ahead of market trends, competitors, and customer needs to keep our solutions relevant and competitive.
Represent Cast AI at conferences and trade shows, networking with potential clients and gathering market insights.
What’s in it for you?
Competitive salary.
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Premium health insurance.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
#LI-Remote
Location: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$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: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$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: South Windsor, United States
Keller Executive Search is recruiting for a profitable, growing industrial manufacturer serving processing and manufacturing markets. Our client sells application-specific physical products through OEM, reseller, and end-user channels. Increased production capacity has created a strong platform for profitable commercial growth.
This is a high-impact opportunity for a hands-on B2B seller who wants autonomy, direct access to senior leadership, and the chance to shape a sales function. You will personally prospect, open accounts, expand existing relationships, visit customer facilities, and manage opportunities from application discovery and quoting through closing and follow-through. Success means generating growth while protecting margin and customer profitability.
The role also supports a planned leadership succession, providing time to learn established customer relationships, technical applications, and pricing practices. Initially, this is an individual-contributor and functional-lead position with no direct reports. It offers a credible path to Sales Director and the opportunity to build a sales team as results support further investment.
Key Responsibilities
Generate new business through targeted prospecting, field activity, trade shows, and disciplined follow-up.
Expand existing accounts through additional products, applications, and customer locations.
Own the full sales cycle, including discovery, site assessment, quoting, negotiation, order handoff, and follow-through.
Build relationships with OEMs, resellers, distributors, end users, and key accounts.
Conduct plant visits, investigate applications, take accurate measurements, recommend specifications, and train customers.
Apply sound pricing, discount, gross-margin, complexity, and cost-to-serve judgment.
Create territory and account plans using sales, margin, product-mix, and pipeline data.
Maintain accurate customer, opportunity, quote, and order records in ERP or CRM tools.
Plan efficient multi-day customer trips and represent the business at industry trade shows.
Coordinate with the external marketing agency on campaigns, lead generation, and trade-show activity.
Partner with customer service, production, purchasing, and technical resources to ensure deliverable commitments.
Establish scalable sales processes and pipeline discipline for future growth.
Requirements
Essential
At least 5 years of successful B2B sales experience with full-cycle responsibility.
Recent personal success prospecting, opening accounts, and expanding existing business.
Experience selling technical, engineered, application-specific, or consultative products or solutions.
Understanding of pricing, gross margin, discounting, customer profitability, and cost-to-serve.
Ability to learn technical products, assess applications, record measurements, and explain specifications.
Strong analytical, mathematical, problem-solving, and organizational skills.
Experience using an ERP and/or CRM, plus working knowledge of Excel, Outlook, and PowerPoint or equivalent tools.
Fluent English with effective written, spoken, presentation, and customer-instruction skills.
Self-directed, ethical, accountable, and collaborative working style.
Ability to travel approximately 40 to 50%, including overnight and occasional weekend travel.
Ability to navigate industrial facilities and perform site assessments, with or without reasonable accommodation.
Reliable transportation to the office and customer locations.
Preferred
Experience selling industrial equipment, components, MRO products, engineered materials, or similar technical products.
Sales exposure to food, chemical, pharmaceutical, plastics, paper, fertilizer, or related processing industries.
Familiarity with OEM, reseller, distributor, end-user, or multi-channel sales.
Experience managing a regional or multi-state territory and visiting manufacturing facilities.
Success building sales processes while retaining personal selling responsibility.
Leadership, coaching, or mentorship experience.
Bachelor's degree or related education in business, engineering, or industrial technology.
DELMIAWorks/IQMS experience or Spanish proficiency.
Ideal Candidate Profile
You are a commercially disciplined technical seller who enjoys creating opportunities, understanding real-world applications, and earning trust on the plant floor. Self-directed, ethical, low-ego, and data-minded, you can succeed without extensive support and want to build profitable business and a scalable sales function.
Benefits
Base salary of $80,000 to $110,000 annually in USD, based on experience and fit.
Commission, incentives, and MBO rewards tied to profitable growth, with target total compensation of approximately $130,000 to $145,000 and performance upside.
75% company-paid employee health, dental, and vision coverage.
Company-paid life, short-term disability, long-term disability, accident, and critical illness benefits.
3% 401(k) match plus 3% profit sharing.
Two weeks of vacation, one week of sick/personal leave, and 13 paid holidays.
Agency statement
Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes.
To learn more about the firm and about our candidate services - please visit
our website
Equal Employment Opportunity and Non-Discrimination Policy
Equal Employment Opportunity Statement:
Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status.
Commitment to Diversity:
Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected.
Reasonable Accommodations:
Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations.
Compensation Information:
For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location.
Compliance with Laws:
Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment:
Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
E-Verify Participation:
Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable.
Privacy and Pay Equity:
California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at
www.kellerexecutivesearch.com
.
Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available.
Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws.
State-Specific Information:
Rhode Island: We do not request or require salary history from applicants.
Connecticut: We provide wage range information upon request or before discussing compensation.
New Jersey: We do not inquire about salary history unless voluntarily disclosed.
Veteran Status:
Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process.
Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles.
Genetic Information:
In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law.
Local Laws:
Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate.
Note:
This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.
Location: Los Angeles, United States
Keller Executive Search is recruiting an accomplished sales leader for a client seeking to accelerate profitable growth, strengthen strategic customer relationships and advance commercial execution. This senior leadership role will oversee a portfolio of key accounts while shaping sales strategy, identifying growth opportunities and maintaining disciplined performance management.
The successful candidate will combine hands-on account leadership with sound commercial judgment, effective team leadership and a strong focus on account profitability. This is an opportunity to influence business growth, develop enduring customer partnerships and progress toward broader executive sales leadership.
Key Responsibilities
Develop and execute sales strategies aligned with revenue, margin and profitability objectives
Lead, coach and hold the sales team accountable for individual and portfolio performance
Manage and expand relationships with key customers, buyers and commercial stakeholders
Own account planning, negotiations, pricing discussions and commercial proposals
Build a qualified pipeline and identify opportunities across existing and prospective accounts
Monitor account-level profitability and pursue sustainable, profitable growth
Produce accurate forecasts, budgets, performance reports and market insights for senior leadership
Partner with operations, finance, marketing and other functions to support effective customer delivery
Represent the organization during customer visits, industry events and trade shows
Additional Information
This is a full-time, on-site leadership position
Travel is required for customer visits and trade shows
Requirements
At least 8 years of progressive sales or commercial experience, including responsibility for major accounts
At least 3 years of sales leadership experience, with demonstrated success coaching and managing teams
Track record of delivering profitable growth and managing performance against revenue and margin objectives
Strong strategic account management, negotiation, forecasting and pipeline management capabilities
Ability to interpret commercial and financial data and translate insights into practical action
Clear executive-level communication, presentation and relationship-building skills
Willingness to work full-time on-site and travel for customer meetings and trade shows
Preferred
Experience working with complex customer accounts and multiple decision-makers
Experience engaging senior buyers, procurement leaders or other commercial stakeholders
Familiarity with CRM systems and structured sales planning methodologies
Bachelor's degree in business, marketing or a related field, or equivalent professional experience
Benefits
Salary: $180,000-210,000 base, annually in USD, plus an annual bonus
Employer-paid health, dental and vision insurance
401(k) or retirement plan with employer match
Paid time off
Employer-paid life and disability insurance
Full-time, on-site role, with travel for customer visits and trade shows
Potential career progression
Agency statement
Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes.
To learn more about the firm and about our candidate services - please visit
our website
Equal Opportunity policy
Equal Employment Opportunity and Non-Discrimination Policy
Equal Employment Opportunity Statement:
Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status.
Commitment to Diversity:
Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected.
Reasonable Accommodations:
Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations.
Compensation Information:
For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location.
Compliance with Laws:
Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment:
Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
E-Verify Participation:
Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable.
Privacy and Pay Equity:
California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at
www.kellerexecutivesearch.com
.
Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available.
Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws.
State-Specific Information:
Rhode Island: We do not request or require salary history from applicants.
Connecticut: We provide wage range information upon request or before discussing compensation.
New Jersey: We do not inquire about salary history unless voluntarily disclosed.
Veteran Status:
Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process.
Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles.
Genetic Information:
In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law.
Local Laws:
Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate.
Note:
This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.
Location: Colombia
About the Role
We're hiring an Ops & Marketing Project Manager to be the organization backbone of a small, fast-moving team. Plans get made in Slack, work gets briefed in Notion, and the gap between those two is where things quietly die. You're the person who closes that gap.
This role sits primarily on the operations side of our home fragrance brand. You'll own wholesale operations end to end, and you'll be the one keeping product development, inventory, and production moving: chasing suppliers, holding timelines, building the project boards, and making sure nothing sits waiting on an answer nobody asked for.
You'll also own the marketing calendar and the project flow behind it. Our marketing team moves fast across website, paid, email, and creator work, and it needs someone who makes sure that once something is decided it has an owner, a date, a dependency map, and someone chasing it. You're not deciding what we launch. You're the person who knows the status of everything, without being asked.
We're an AI-forward company, and this is an AI-forward role. Claude is part of how this team works every day, not a side experiment. We expect you to build your systems, SOPs, trackers, and reporting with AI in the loop, and to keep finding the places where it takes busywork off your plate and off the plates of the people around you. You don't need a technical background. You do need real curiosity and the willingness to make it part of how you work.
What You'll Do
Own wholesale day to day: processing orders, charging payments, creating shipments and inbounds, and the customer service that comes with it
Create 3PL orders for suppliers, samples, and anything else needed
Write the SOPs as you go, so the function can be handed to a dedicated coordinator over time. Designing your own replacement here is part of the job, not a threat to it
Product Development, Inventory, and Production
Supplier follow-up, cost comparisons, timelines, and project boards across new products and packaging
Stay closely on top of production status and timelines, and flag slippage early enough that we can do something about it
Support inventory operations and learn the fundamentals of production from the team, with room to take on more here over time
The Marketing Calendar
Own a single calendar across brands and channels: website, paid creative, email and SMS, creator and UGC, promotions, and product launches
Hold the dates. Work backwards from the launch date rather than forwards from today, so creative, approvals, and builds land in the right order
Turn strategy into briefed work. When a plan arrives as ten line items with five names attached, you break it into owned tasks with real dates and confirm who has what
Catch collisions before they cost a day: duplicate briefs, two designers on the same asset, work blocked on an approval nobody requested
Run the weekly cadence. What shipped, what slipped and why, and what's at risk next week, published without being asked for it
Systems, Notion, and AI
Own Notion as the system of record for these areas: structure, templates, status hygiene, and getting people to actually use it
Build real systems where only informal structure exists today, then keep them alive. A board nobody updates is worse than no board
Use AI to build and run those systems, from drafting SOPs and briefs to pulling together reporting and tracking what's outstanding
Keep creator and partnership records, contracts, and payments accurate and moving, in step with finance and the partnerships team
Requirements
What We're Looking For
Exceptional organization. This is the single most important quality for this role
3+ years managing multiple concurrent projects across teams
Operations experience in e-commerce, consumer brands, wholesale, or supply chain
Direct marketing experience, ideally owning or running a marketing calendar across channels
You already use AI seriously in your own work, and you can show us how. We care more about how you think with it than which tools you've touched
Hands-on Notion experience. You've built databases and views that other people relied on, not just filled in someone else's
Experience working inside a CRM and keeping it clean and current (Folk, HubSpot, Salesforce, Klaviyo, or similar)
Strong follow-through. You're persistent with suppliers, vendors, and teammates until you get an answer
The instinct to surface problems early, with a recommendation attached
Strong written communication. Most of this job happens in writing, across time zones
Strong English communication skills
Strong Excel and Google Sheets skills, and comfort across Word, PowerPoint, and Google's suite of tools
Nice to Have
Wholesale or B2B operations experience, including basic customer service
Familiarity with Shopify, Cin7, Klaviyo, or Figma
Experience with product development or packaging timelines
Benefits
💰 Competitive salary in USD
🕒 Flexible working schedule
🌎 100% remote, long-term career opportunity
Location: Houston, United States
EnerMech is a global provider of specialist engineering, technical and integrated services to the energy and infrastructure sectors. With operations across multiple international markets, we deliver innovative solutions that help our clients improve operational efficiency, safety and asset performance.
Our services include mechanical, electrical and instrumentation solutions, lifting and inspection services, and specialist industrial services, including nitrogen and pressure testing operations.
At EnerMech, we are committed to delivering operational excellence through our highly skilled workforce, strong safety culture and focus on quality. We offer opportunities to work on challenging projects alongside experienced professionals in a dynamic, safety-focused environment.
Key Responsibilities
Operate nitrogen pumping equipment safely and efficiently at various job sites.
Set up, monitor and shut down nitrogen pumping units in accordance with operational procedures.
Monitor pumping pressures, flow rates and equipment performance during operations.
Conduct pre-operational and post-operational inspections of nitrogen pumping equipment.
Perform routine maintenance and basic troubleshooting to ensure equipment reliability.
Ensure compliance with all company HSE policies, client requirements and safety procedures.
Maintain accurate pumping logs, operational records and service reports.
Carry out equipment rig-up, pressure testing and rig-down activities.
Communicate effectively with supervisors, team members and clients regarding job requirements and operational activities.
Participate in toolbox talks, risk assessments and ongoing safety training.
Requirements
Minimum of 3 years' experience as a Nitrogen Pump Operator, preferably within the oil & gas industry.
Proven experience operating high-pressure nitrogen pumping equipment.
Strong understanding of nitrogen pumping operations, pressure control and flow rates.
Ability to inspect, maintain and troubleshoot nitrogen pumping equipment.
Knowledge of nitrogen handling procedures and associated safety risks.
Experience in equipment rig-up, pressure testing and rig-down.
Ability to work independently and as part of a field operations team.
Strong commitment to safety, reliability and operational efficiency.
Good communication skills and a proactive, hands-on approach.
CDL (Commercial Driver’s License) is preferred.
Location: Schaffhausen, Switzerland
D-ploy is an
IT
and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA.
We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the
IT
community, we optimize our customer‘s
IT
productivity and contribute to the organization’s success and value.
We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where
IT
counts, join us!
Tasks and Responsibilities
Monitor the performance of the company's desktop infrastructure and make suggestions for improving efficiency
Act as the main point of contact for employees who are experiencing computer issues
Ongoing maintenance and future planning needs of the company's desktop infrastructure
Complex IT support tasks for our customer both onsite and remote maintenance (PC, laptop and peripherals)
Regular front desk assignments for direct support in case of inquiries and problems of our customer
Managing the inventory system (purchasing, goods receipt, maintenance and proper disposal)
Carrying out simple installations in the infrastructure area (in particular network cabling)
Setting up and providing the IT infrastructure for new employees
Coordinate and plan PC installations, e.g. for workstation relocations, in cooperation with the existing team
Processing of tickets in the ticket system and their documentation
Evaluate applications and software patches for desktop applications to see if they will solve desktop issues
Resolve software, hardware and device issues reported by the end users
Installation, configuration and ongoing usability of desktop hardware and software
IT support relating to technical issues involving Connect client
Support services for Client standard technologies including basic troubleshooting of Exchange and adds/moves/changes for AD accounts
Troubleshoot PC connectivity issues and network elements including ISP circuits, firewalls, network switches, wireless equipment and telephone system
Remote access solution (VPN) implementation and support
Document and update the local client environment
Escalate service issues when required
Communication with customers/end users as required, keeping them informed of incident progress, notifying them of impending changes or agreed outages
Advise and train staff on computer operations and software applications
Requirements
Good understanding of Information Technology; trends, products and solutions
1+ years’ experience in a similar position supporting a variety of technologies and services
In depth knowledge of:
Windows OS (Windows 7 & 10)
Microsoft Office & Office 365 applications
PC\Laptop hardware
PC\Laptop peripherals, including printers
Mobile devices
Basic knowledge of
Active Directory
Exchange
ITIL certification and familiarity with the Service Now ticketing system is an advantage
GxP knowledge is desired
Highly self-motivated and directed with a keen attention to detail
Customer focused with a passion and drive for customer satisfaction and delivering business values
Solid problem solving and analytical skills
Ability to work independently as well as willing to follow directions and best practices
Great communication and interpersonal skills
Friendly, supportive and flexible personality with quick learning ability
Good team player with planning and organizing skills & multi-task
Fluent (at least B2) written and oral English and German language, French language is a plus
Willing to travel within Schaffhausen area
Drivers license and a private car
Candidates have to declare Criminal record extract not older than 3 months
Benefits
Broad range of activities, tasks, and projects
Lunch Checks or Reka Money (Lunch Checks can be used in 7000+ restaurants, Reka Money can be used for Transport & Accommodation,Sport & Wellbeing, Leisure &Culture, Holidays & Travel)
Enjoy free refreshments in our D-ploy offices
Insurance Benefits
Gym Benefits
Fishing for Friends program – our referral program
Further development and professional advancement
Friendly and international working environment
Competitive salary and various benefits
Is IT in your DNA?
If you believe you are a good match for this role, or any other opportunities for which D-ploy is currently staffing, then we are very keen to speak with you. You can apply though a variety of channels, including our website
www.d-ploy.ch
or by reaching out directly to our recruitment team
recruiting@d-ploy.ch
.
Location: Colombia; Argentina; Brazil; Mexico; Peru; Venezuela, Bolivarian Republic of
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a Senior Meta Ads Specialist with 4–5+ years of hands-on experience managing and scaling high-performing Facebook and Instagram advertising campaigns.
The ideal candidate is a data-driven performance marketer with a proven track record of managing substantial advertising budgets, optimizing campaigns for profitability, and driving measurable business growth.
You should be highly skilled in Meta Ads Manager, audience targeting, creative testing, conversion tracking, and scaling strategies.
This is an exciting opportunity to take ownership of paid social campaigns for a growing international business and make a direct impact on revenue and customer acquisition.
Key Responsibilities
Campaign Management: Plan, launch, manage, and optimize Meta advertising campaigns across Facebook and Instagram.
Performance Optimization: Continuously improve ROAS, CPA, CPL, CTR, and conversion rates to maximize advertising profitability.
Budget Management: Manage and scale significant monthly advertising budgets while maintaining strong performance.
Creative Strategy: Collaborate with creative teams to develop high-converting ad creatives, messaging, and testing frameworks.
Audience Targeting: Build and refine prospecting, retargeting, and lookalike audience strategies.
Tracking & Attribution: Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking.
A/B Testing: Execute structured experiments across creatives, audiences, placements, and campaign strategies.
Analytics & Reporting: Monitor performance, identify opportunities, and provide actionable insights and recommendations.
Scaling Strategy: Develop and execute strategies to scale winning campaigns while maintaining efficiency.
Cross-Functional Collaboration: Work closely with marketing, creative, and leadership teams to align paid media campaigns with business objectives.
Requirements
4–5+ years of proven experience managing Meta Ads (Facebook and Instagram) campaigns.
Demonstrated success in scaling paid social campaigns and delivering measurable ROI.
Advanced proficiency in Meta Ads Manager and Meta Business Suite.
Strong understanding of campaign structures, bidding strategies, audience segmentation, and conversion optimization.
Experience managing substantial advertising budgets with clear performance accountability.
Strong knowledge of Meta Pixel, Conversions API, attribution models, and event tracking.
Experience developing creative testing strategies and identifying winning ad concepts.
Strong analytical skills with the ability to interpret campaign data and make informed optimization decisions.
Familiarity with Google Analytics 4 (GA4), Google Tag Manager, and reporting dashboards.
Excellent English communication skills, both written and verbal.
Ability to work independently, take ownership of results, and thrive in a fast-paced remote environment.
Nice to Have
Experience managing Meta Ads for eCommerce, DTC brands, lead generation businesses, or digital marketing agencies.
Experience with Shopify, landing page optimization, and conversion rate optimization (CRO).
Familiarity with third-party attribution platforms such as Triple Whale, Hyros, or Northbeam.
Experience managing six-figure monthly advertising budgets.
Meta Blueprint certifications.
Experience mentoring junior media buyers or leading paid social strategy.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
УдалённоseniorRemote Spain
ГибридГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA
ГибридTokyo, Japan
География найма не уточнена
San Francisco; Seattle; New York City
San Francisco; Seattle; New York City
Based in Germany (or open to relocation)
Seattle, WA
New York City, NY
South Windsor, United States
headLos Angeles, United States
УдалённоColombia; Build real systems where only informal structure exists today, then keep them alive; Most of this job happens in writing, across time zones
Schaffhausen, Switzerland
УдалённоseniorColombia; Argentina; Brazil; Mexico; Peru; Venezuela, Bolivarian Republic of
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