Location: Americas Remote
About
Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, my name is Diep Nguyen, VP of Finance here at
Customer.io
, and I'm looking for a Director, GTM Finance to own our go-to-market P&L end-to-end as we scale from $100M+ ARR today to $1B+ ARR in the future.
We're hiring for GTM finance depth and strategic horsepower: someone who builds models from a blank page, challenges assumptions, and earns trust with senior executives. Deep GTM finance experience is required. Your title might be Strategic Finance, Revenue Finance, or FP&A partner to Sales. What we look for is that you've owned the finance side of a sales org's capacity, comp, or bookings work. You'll own our GTM P&L spanning Sales, Marketing, and Customer Success, and build the team behind it.
We're an AI-forward company: this role requires someone energized by using AI to reinvent how finance operates, not someone who merely tolerates the tools we hand them.
What we value
GTM finance substance
— we look at the scope you've owned (capacity models, comp plans, bookings and ARR roll-forward) and how you've built and defended your models.
AI as genuine practice, not a buzzword
— we want concrete stories of AI changing an outcome, not familiarity with the tools.
Ownership from day one
— you'll build and lead a team, not just execute analysis handed to you.
Directness with data
— you challenge top-down assumptions with account-level evidence, even in uncomfortable conversations.
What you’ll do
Own the GTM P&L end-to-end — revenue, gross margin, and opex across Sales, Marketing, and Customer Success — not just a spend-efficiency lens.
Drive unit economics and the growth funnel model — CAC, LTV/CAC, payback, magic number, and cohort/retention analysis across self-serve and sales-assisted motions.
Own the ARR roll-forward, bookings, and revenue forecasting — auditable, reconcilable, and independently stress-tested against top-down assumptions.
Partner with Sales and RevOps on capacity planning, deal economics, and pricing — protecting margin and ARR quality without slowing deal velocity.
Build and own the monthly/quarterly GTM reporting package for the exec team and Board, with variance analysis that explains root cause.
Champion AI-enabled finance workflows and build the GTM finance team as
Customer.io
scales past $250M+ ARR.
What we're looking for
10+ years in FP&A, strategic finance, or related roles at complex, scaled orgs; a first-principles modeler who builds from a blank page rather than inheriting assumptions
Hands-on GTM finance experience: you've owned the finance side of a sales capacity model, comp plan, or bookings-to-ARR roll-forward with Sales, Marketing, or Customer Success
Comfortable with subscription/SaaS metrics (ARR, NRR, CAC, LTV) or able to get there fast
Comp-plan literacy: you understand accelerators, ramp, and attainment mechanics well enough to know where to push back on a plan
Experience with consumption or hybrid usage-based pricing is a strong plus
Concrete, demonstrated track record driving AI adoption in finance workflows — not just familiarity with the tools
Proven people leader — has managed and developed finance professionals
Strong Excel skills (with experience using Snowflake a plus) and experience with planning/GTM systems (NetSuite, Salesforce, Gong, Drivetrain)
Bachelor's degree in Finance, Accounting, Economics, or related field; MBA a plus
Compensation & Benefits
We believe in transparency. Starting salary for this role is
$200K–$260K USD
(or equivalent in local currency) depending on experience and subject to market rate adjustment.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Recruiter Screen (30 min)
Hiring Manager Screen (45 min)
Two Cross-functional conversations with team members (30 min each)
Case study + Case Review Panel with team (45 min)
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.
Location: Ljubljana, Slovenia
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
About The Role:
We're an advertising company that lives or dies by how well we connect to the outside world. We integrate with the major social and ad platforms (Meta, Google, TikTok, LinkedIn, Snap, and more) and wire them into our internal systems for billing and reporting. Data moves constantly and in both directions, at scale, and a meaningful part of our estate is legacy. You'll own the technical direction that keeps all of this coherent, resilient, and evolvable — and you'll stay close enough to the code to prove it.
This is the top of our individual-contributor ladder. You won't have direct reports; your leverage comes from setting direction, building the hard parts yourself, writing the decisions down, and getting engineers and leadership to build behind them. This is not a role that only draws diagrams — you'll ship production code on the riskiest paths, cut the spike that de-risks a migration, and go deep in the incidents nobody else can crack. We work across PHP, Go, Python, TypeScript, and JavaScript; PHP and Go are both first-class and here to stay, and the right tool for a problem can land in either. You'll be the person who decides where new capability lands, how legacy gets retired, and how we absorb the constant churn of third-party APIs without breaking delivery.
What You'll Own:
The integration architecture for ingesting from and pushing to external ad/social platforms — versioning, rate limits, backfills, idempotency, webhooks, and graceful degradation when a partner API changes underneath us.
The data architecture for information flowing between platforms and internal systems: pipelines, reconciliation, contracts between services, and the path from operational data to reporting.
A pragmatic strategy for modernizing the legacy estate — strangler-fig migrations, clear service boundaries, and sound judgement about which language and pattern fit each problem — carried far enough into code that teams can follow the pattern.
The engineering bar for integration and data work: the reference implementations, patterns, and standards the org builds against, ratified through the technical committee.
What You'll Do:
Set the technical direction for new products and major changes, and stay the technical decision-maker through build and post-launch — with the authority to course-correct when implementation drifts, and the habit of being in the codebase to catch the drift early.
Build the hard parts yourself.
Write production code on the riskiest, highest-leverage paths; prototype the uncertain approach to turn an argument into evidence; build the reference implementation others extend.
Turn intangible trade-offs — partner API risk, team capability, long-term scalability, cost of change — into clear, written decisions (ADRs) that leadership and the technical committee can sign off on.
Define service and data contracts, integration patterns, and resilience strategies that survive third-party API deprecations and outages.
Go deep when it breaks: lead diagnosis on the gnarliest production incidents and performance regressions, and land the fix and the systemic follow-up.
Identify the infrastructure (compute, data, messaging, observability) needed to meet current and near-future goals.
Raise the bar through others:
mentor engineers and tech leads, set the standard in code review, and drive cross-functional decisions across engineering, product, security, and operations — through influence, not line management.
Evaluate third-party and vendor solutions against our integration and data requirements.
Monitor systems against performance and business benchmarks and escalate with concrete recommendations.
What We're Looking For:
Substantial experience as a staff/principal engineer (or equivalent) on
integration-heavy, data-heavy systems
— ideally where you didn't control the external APIs.
Still hands-on.
You lead by building, and you're demonstrably strong in production code, not only in design.
Depth in at least one of
PHP, Go, or Python
, and comfort across a polyglot estate (TS/JS on the front).
A track record of
modernising legacy systems incrementally
without halting delivery.
Fluency in integration and data patterns: idempotency, eventual consistency, rate limiting, queuing, backfills/reconciliation, API versioning.
A history of
driving technical decisions through influence rather than authority
— getting senior leadership and peer engineers to commit to a direction, and backing it with working code.
Nice To Have:
Experience with ad/martech platform APIs (Meta Marketing, Google Ads, TikTok, etc.).
Data warehouse / analytics pipeline experience (e.g. BigQuery).
Multi-region, multi-currency, or high-volume billing/reconciliation backgrounds.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: Limassol, Cyprus
We are looking for an Arabic-speaking CRM Manager to own the CRM strategy and performance of our GCC brands. You will be responsible for the full player lifecycle, from onboarding to retention and reactivation, and for improving key metrics such as retention, churn and player value.
This is a hands-on role: you will define the strategy but also build, launch and optimize campaigns and flows yourself.
Key Responsibilities:
Strategy & Performance
Own the CRM strategy for our GCC brands across the full player lifecycle: onboarding, FTD/STD conversion, retention, VIP support and reactivation.
Own and continuously improve key CRM flows and journeys: welcome, early-life, deposit, churn prevention, win-back and late conversion.
Be accountable for core CRM KPIs: retention, churn, reactivation, deposit conversion, player value (LTV/NGR) and channel performance.
Analyze player behavior and campaign results, find growth opportunities and turn them into concrete actions.
Plan and run A/B tests on offers, timing, content and channels, and scale what works.
Build and manage the GCC promo calendar, including key local events (e.g. Ramadan, Eid, national holidays).
Define segmentation and personalization logic for offers and communications.
Execution
Set up campaigns, journeys, bonuses and player communications (email, push, SMS, pop-ups, inbox) yourself in the CRM platform.
Prepare, upload and verify customer segments.
Run detailed QA before every launch: content, Arabic text and RTL formatting, links, targeting, eligibility, timing and settings.
Schedule and launch campaigns according to the CRM calendar, then monitor delivery and fix issues quickly.
Own Arabic CRM content: localization, tone of voice and cultural fit for GCC players.
Reporting & Collaboration
Report regularly on performance, with insights and recommendations for the Head of CRM and stakeholders.
Work closely with the VIP, Marketing, Design, Product and BI teams.
Use AI tools to speed up analysis, content creation and QA.
Requirements:
Native or fluent Arabic, written and spoken; Upper-Intermediate English or higher.
3+ years of CRM experience in iGaming, including ownership of lifecycle flows and KPIs.
Hands-on experience setting up campaigns and journeys in a CRM platform. Strategy-only experience is not enough.
Experience with Smartico.
Proven track record of improving retention, reducing churn or growing player value.
Strong understanding of GCC / Arabic-speaking markets and player behaviour.
Strong analytical skills, comfortable working with data, segments and campaign reporting.
Very high attention to detail, with a structured and organised approach.
Comfortable with operational and repetitive work while keeping high accuracy.
Practical experience with AI tools (ChatGPT or similar) and good Excel / Google Sheets skills.
Nice to Have:
Sportsbook CRM experience.
Experience with VIP or loyalty programs.
Apply now and let’s achieve success together
Apply at
https://aloplay.bamboohr.com/careers/98?source=aWQ9MTg%3D
to become a member of our amazing team!
We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.
Location: London, United Kingdom
Workplace: fully
About the Client
Our client is one of the leading crypto companies in Europe, offering a full ecosystem of crypto-financial services to businesses worldwide. Their offering crypto processing, B2B crypto wallets, and a SaaS solution, powering hundreds of millions of euros in transactions each month for clients across travel, iGaming, e-commerce, and digital entertainment. The company operates under regulatory licensing and adheres to strict AML/KYC standards, and is recognised as a leading player in the European crypto payments space, serving hundreds of businesses worldwide.
Role Overview
As the Chief Operating Officer, you will play a pivotal role in enhancing business efficiency and driving growth. This is a unique opportunity to impact the company's strategic direction by improving processes and fostering collaboration across multiple departments. Your work will directly contribute to entering new markets and launching new products, ensuring rapid value delivery to customers.
Key Responsibilities
Improve business efficiency and help departments achieve greater results with existing resources.
Analyze processes, structure, and distribution of responsibilities to identify systemic constraints to growth.
Build effective collaboration between Product, Technology, Operations, Commercial, Finance, Legal, and Compliance departments.
Translate the CEO's strategic goals into concrete programs, tasks, metrics, and areas of accountability.
Take ownership of, or act as the lead facilitator for, major cross-functional initiatives.
Ensure execution of projects related to entering new markets, licensing, product launches, and changes to the operating model.
Develop a KPI system and performance management framework for departments.
Increase the speed of decision-making and value delivery to customers.
Manage functional leaders, strengthen teams, and promptly resolve organizational blockers.
Participate in strategic planning and defining the company's future structure.
Requirements
At least 5 years of experience in Fintech, Payments, or other regulated financial services.
Experience in Crypto is a plus but not required.
Experience working in a fast-growing or transforming business.
Experience managing multiple functions and teams around 30+ people.
Experience at a company with 500 to 1,000 employees is preferred, bringing mature scaling practices.
Proven track record of improving operational efficiency and performance.
Experience delivering major initiatives spanning multiple departments.
Understanding of P&L, unit economics, cost management, and how operations impact business results.
Experience building processes in a multi-market, multi-license, or multi-entity environment is a significant advantage.
Languages: English
Experience in fintech
Key Soft Skills
Mature, independent, and hands-on leadership with a strong inner core.
Ability to demand results and make difficult decisions while building trust-based relationships.
Seen as a partner by functional leaders, not as an additional layer of control.
Strong problem-solving skills and business acumen.
Excellent communication and collaboration skills.
What We Offer
Competitive salary aligned with experience and bonus system
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits
Location: Milwaukee, WI
QA/QC Manager
Location:
Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations)
Employment Type:
Full-Time
Work Environment:
Primarily Site-Based (Long-Term Project Assignments)
Ensure Quality Across World-Class Mission-Critical Infrastructure Projects
The successful delivery of hyperscale data centers and mission-critical infrastructure depends on uncompromising quality at every stage of execution. From site development and underground utilities through structural concrete, power infrastructure, telecommunications systems, commissioning, and final turnover, quality must be embedded into every aspect of project delivery.
As a
QA/QC Manager
, you will lead quality assurance and quality control activities supporting some of North America's largest hyperscale data center developments. Your efforts will help ensure work is planned correctly, executed properly, documented thoroughly, and delivered in accordance with project requirements and customer expectations.
You will play a critical role in supporting project readiness, reducing rework, improving execution consistency, and ensuring successful commissioning and turnover outcomes.
About Michels Infrastructure Solutions
Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a
Super General Contractor (Super GC)
model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution.
By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost.
MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects.
Position Overview
As a
QA/QC Manager
, you will lead quality assurance and quality control activities across large-scale hyperscale data center and mission-critical infrastructure projects.
During the early phases of project delivery, you will support quality planning activities associated with site development, underground utilities, concrete construction, telecommunications infrastructure, power systems, and construction readiness programs. As projects advance, you will oversee inspections, testing, documentation, turnover preparation, commissioning support, corrective-action programs, and owner acceptance activities.
You will be responsible for developing, implementing, and maintaining project-specific quality programs while ensuring work complies with contract requirements, technical specifications, codes, standards, customer requirements, and established project procedures.
This role serves as a key partner to Project Management, Construction Management, Engineering, Procurement, Field Operations, Commissioning, Quality Personnel, Subcontractors, Vendors, and Customers throughout the project lifecycle.
Success requires strong technical expertise, leadership capabilities, organizational discipline, attention to detail, and a proactive approach to identifying and resolving quality concerns before they impact project execution.
Key Responsibilities
Develop, implement, and maintain project quality-assurance and quality-control programs.
Ensure construction activities comply with project specifications, contract requirements, quality standards, codes, and customer expectations.
Establish quality requirements supporting civil, utility, structural concrete, telecommunications, electrical, power, and commissioning activities.
Oversee inspection and testing activities across multiple construction disciplines.
Manage quality documentation, inspection reports, testing records, punch lists, non-conformance reports (NCRs), corrective-action programs, and turnover documentation.
Coordinate quality activities with project teams, commissioning personnel, subcontractors, vendors, suppliers, and customers.
Monitor quality-performance trends and identify opportunities to improve execution consistency and project outcomes.
Drive continuous-improvement initiatives that strengthen quality performance and project execution.
Support project-turnover readiness and long-term quality-management objectives.
What You'll Do
Lead QA/QC efforts supporting hyperscale data center and mission-critical infrastructure projects.
Review construction drawings, technical specifications, contracts, quality plans, inspection requirements, testing protocols, and customer standards.
Develop and maintain Inspection and Test Plans (ITPs), quality-management plans, inspection schedules, and project-quality procedures.
Conduct site inspections, audits, field observations, quality assessments, and compliance reviews throughout construction activities.
Verify compliance with project requirements related to mass grading, earthwork, underground utilities, structural concrete, telecommunications systems, power infrastructure, and commissioning activities.
Coordinate testing, inspection, and acceptance activities with internal teams, subcontractors, vendors, engineers, and third-party testing agencies.
Manage non-conformance reporting, root-cause analysis, corrective-action plans, issue-resolution processes, and lessons-learned efforts.
Coordinate with project teams to ensure quality requirements are integrated into project-execution and construction-planning activities.
Track quality metrics, inspection logs, turnover documentation, test reports, deficiency tracking, and commissioning records.
Support customer audits, owner inspections, commissioning activities, acceptance testing, and final turnover requirements.
Assist with development and review of as-built documentation, turnover packages, quality records, and owner-deliverable requirements.
Provide quality training, mentoring, coaching, and guidance to project personnel and subcontractors.
Support project-closeout efforts to ensure quality records and turnover documentation are complete, accurate, and audit-ready.
Leadership & Team Development
Lead and mentor QA/QC Inspectors, Coordinators, Specialists, and assigned quality personnel.
Establish quality standards, inspection expectations, documentation requirements, and reporting processes.
Foster a culture that emphasizes accountability, craftsmanship, continuous improvement, and ownership.
Partner with project leadership to ensure quality is incorporated into planning, procurement, execution, commissioning, and turnover activities.
Promote proactive problem-solving and prevention-focused quality management throughout the project lifecycle.
Why Michels Infrastructure Solutions, Inc.?
We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects.
We leverage a unique Super GC delivery model that combines specialty construction capabilities under a single-source execution approach.
We provide exposure to every phase of project delivery, from greenfield site development through commissioning and turnover.
We provide opportunities to lead quality programs supporting nationally significant infrastructure projects.
We are family owned and operated.
We invest an average of
$5,000 per employee per year
in training and career development.
We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth.
We believe everyone is responsible for promoting safety, regardless of job title.
We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors.
We offer opportunities for long-term growth in quality, commissioning, project management, operations, and leadership.
Comprehensive Benefits Package
Health Insurance
Dental Insurance
Life Insurance
Flexible Spending Accounts (FSA)
Health Savings Account (HSA)
Short-Term Disability Insurance
Long-Term Disability Insurance
401(k) Retirement Plan
Legal Plan
Identity Theft Protection and Monitoring Plan
Benefits may vary based on position and location.
Why You?
You like to surround yourself with dedicated, value-driven people.
You relish new challenges and evolving technology.
You cringe when you hear: “Because that's the way we've always done it.”
You believe quality is built into the work, not inspected into it.
You enjoy solving complex technical and operational challenges.
You thrive in environments where attention to detail and accountability drive success.
You enjoy identifying issues early and helping teams prevent problems before they occur.
You take pride in delivering work that is complete, compliant, and ready for customer acceptance.
You are motivated by ownership, continuous improvement, and delivering exceptional project outcomes.
You want your efforts noticed and your results to make a meaningful impact.
You want to work to make a difference.
What It Takes
Bachelor's degree in Construction Management, Engineering, Quality Management, Civil Engineering, or a related discipline and
7+ years of quality assurance, quality control, construction management, engineering, commissioning, or related experience
, or an equivalent combination of education and experience.
Experience supporting large-scale mission-critical, hyperscale data center, EPC, industrial, power, utility, heavy civil, or infrastructure construction projects.
Strong understanding of quality-management systems, inspection processes, testing programs, commissioning requirements, turnover readiness, and owner-acceptance procedures.
Experience developing and implementing project-quality plans, inspection programs, audit programs, testing strategies, and corrective-action processes.
Experience evaluating earthwork, underground utilities, structural concrete, telecommunications, fiber, power infrastructure, industrial systems, or mission-critical construction activities.
Ability to read and interpret construction drawings, technical specifications, contracts, quality standards, test reports, and inspection requirements.
Experience managing NCRs, punch lists, root-cause analysis programs, corrective-action plans, and quality investigations.
Experience supporting commissioning activities, turnover packages, as-built documentation, deficiency management, and owner-acceptance processes.
Experience coordinating with testing laboratories, inspection agencies, commissioning teams, subcontractors, and customer quality representatives preferred.
Proficiency with Microsoft Office Suite and experience with Procore, Autodesk Construction Cloud, Bluebeam, BIM 360, SharePoint, Aconex, InEight, or similar construction-management platforms preferred.
Quality certifications such as CQM, CQM-C, ASQ, ISO Auditor, AWS-CWI, NICET, or related credentials are preferred but not required.
Strong leadership, communication, organizational, analytical, and problem-solving skills.
Ability to effectively collaborate with project teams, field personnel, customers, subcontractors, vendors, and commissioning personnel.
Valid driver's license with an acceptable driving record.
Ability to support long-term, site-based assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily field-based, with significant interaction occurring directly with construction operations, commissioning teams, and project leadership. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards.
Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career.
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: Lomira, WI
Senior Project Manager
Location:
Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations)
Employment Type:
Full-Time
Work Environment:
Primarily Site-Based (Long-Term Project Assignments)
Lead the Delivery of Industry-Defining Mission-Critical Infrastructure
The successful delivery of hyperscale data centers begins with the execution of large-scale site-development and infrastructure programs that transform greenfield sites into mission-critical campuses. These projects require exceptional leadership, operational excellence, commercial acumen, and the ability to align customers, engineering teams, field operations, subcontractors, and suppliers around a unified execution strategy.
Senior Project Managers play a critical role in leading major project phases, complex infrastructure programs, or multiple concurrent projects while ensuring the highest standards of safety, quality, schedule performance, customer satisfaction, and financial accountability.
About Michels Infrastructure Solutions
Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a
Super General Contractor (Super GC)
model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution. By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost.
MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects.
Position Overview
As a
Senior Project Manager
, you will manage major phases of large hyperscale data center developments or lead multiple large-scale mission-critical infrastructure projects simultaneously. During the initial phases of project delivery, your primary focus will be overseeing large-scale site-development and infrastructure programs, including land clearing, mass earthwork, grading, drainage systems, utility installation, logistics planning, temporary facilities, power infrastructure coordination, and overall campus readiness.
You will be accountable for all aspects of project success, including safety, customer satisfaction, contract administration, financial performance, staffing, procurement, risk management, project controls, and overall execution strategy.
You will serve as the primary point of contact for customers and key stakeholders while leading teams responsible for delivering complex civil, utility, structural concrete, telecommunications, power, and mission-critical infrastructure projects. Success requires strong leadership, business acumen, customer relationship management, and the ability to guide large multidisciplinary teams through complex construction challenges.
Senior Project Managers are expected to spend significant time onsite working directly with customers, field leadership, and project teams to ensure successful execution of long-term campus development programs.
Key Responsibilities
Lead all phases of project execution from project pursuit and contract award through commissioning, turnover, and project closeout.
Manage major hyperscale infrastructure projects or multiple concurrent projects with full responsibility for safety, schedule, quality, financial performance, and customer satisfaction.
Lead execution of large-scale site-development and infrastructure programs supporting hyperscale data center campus construction.
Directly supervise and mentor Project Managers, Assistant Project Managers, Project Engineers, and other assigned personnel.
Review project proposals, contracts, scopes of work, budgets, schedules, staffing requirements, procurement strategies, and execution plans.
Develop project execution strategies, staffing plans, forecasting models, procurement plans, logistics plans, and risk mitigation strategies.
Coordinate activities among customers, utility providers, engineering teams, subcontractors, suppliers, commissioning teams, and field leadership.
Promote and maintain a strong culture of safety across all project activities.
Ensure projects are executed in compliance with contract requirements, company standards, regulatory requirements, and customer expectations.
Align early site-development and infrastructure activities with future vertical construction, energization, and commissioning milestones.
What You'll Do
Serve as the primary customer-facing representative throughout the project lifecycle.
Lead construction programs supporting hyperscale data center and mission-critical infrastructure developments from greenfield site development through project completion.
Build and maintain strong relationships with owners, developers, engineers, utility providers, subcontractors, vendors, and project stakeholders.
Proactively communicate project status, risks, schedule impacts, financial performance, and key decisions to customers and executive leadership.
Manage project contracts from initial award through final closeout, including change management, contract administration, commercial negotiations, dispute resolution, and risk mitigation.
Coordinate closely with field leadership to ensure site-development, utility, infrastructure, and power-related activities remain aligned with project objectives.
Lead project meetings, customer meetings, operational reviews, subcontractor meetings, schedule reviews, and executive project updates.
Review project forecasts, cost reports, cash-flow projections, procurement status reports, manpower plans, and project controls reporting.
Support proposal development, bid strategy discussions, constructability reviews, estimating efforts, and project pursuit activities.
Coordinate project activities involving mass grading, wet utilities, dry utilities, drainage infrastructure, structural concrete, telecommunications systems, power infrastructure, and commissioning readiness.
Identify project risks and implement strategies that improve execution performance, profitability, customer satisfaction, and long-term project success.
Support the development and growth of project personnel while fostering a culture of accountability, collaboration, innovation, and operational excellence.
Why Michels Infrastructure Solutions, Inc.?
We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects.
We leverage a unique Super GC delivery model that combines specialty construction capabilities under a single-source execution approach.
We provide exposure to every phase of project delivery, from greenfield site development and utility infrastructure through commissioning and turnover.
We provide opportunities to lead long-term hyperscale data center developments while working alongside some of the industry's most experienced infrastructure and construction professionals.
We are family owned and operated.
We invest an average of
$5,000 per employee per year
in training and career development.
We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth.
We believe everyone is responsible for promoting safety, regardless of job title.
We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors.
We offer opportunities to lead nationally significant projects that shape the future of digital infrastructure.
Comprehensive Benefits Package
Health Insurance
Dental Insurance
Life Insurance
Flexible Spending Accounts (FSA)
Health Savings Account (HSA)
Short-Term Disability Insurance
Long-Term Disability Insurance
401(k) Retirement Plan
Legal Plan
Identity Theft Protection and Monitoring Plan
Benefits may vary based on position and location.
Why You?
You like to surround yourself with dedicated, value-driven people.
You relish new challenges and evolving technology.
You cringe when you hear: “Because that's the way we've always done it.”
You enjoy leading large-scale infrastructure programs with significant operational and financial responsibility.
You thrive managing complex execution challenges involving utilities, logistics, scheduling, procurement, risk, and stakeholder management.
You like to know your efforts are noticed and appreciated.
You want to make your own decisions but know support is always available.
You enjoy building long-term customer relationships and serving as a trusted partner.
You thrive leading teams through complex challenges and high-profile projects.
You want to work to make a difference.
What It Takes
Bachelor's degree in Project Management, Construction Management, Engineering, Civil Engineering, or a related field and
7-10 years of related experience
, or an equivalent combination of education and experience.
Experience managing large-scale hyperscale data center, mission-critical, heavy civil, utility, industrial, power, EPC, or infrastructure construction projects.
Demonstrated experience leading major site-development and infrastructure programs, including mass earthwork, grading, utility installation, drainage systems, power infrastructure, telecommunications infrastructure, utility relocations, or large greenfield developments.
Demonstrated success serving as the primary customer-facing representative on major construction projects.
Strong customer relationship management skills with the ability to proactively communicate, resolve issues, negotiate solutions, and exceed customer expectations.
Experience managing project contracts from award through closeout, including contract administration, change management, commercial negotiations, claims resolution, and risk mitigation.
Experience supervising and mentoring Project Managers, Assistant Project Managers, Project Engineers, and multidisciplinary project teams.
Strong understanding of project scheduling, budgeting, forecasting, procurement, project controls, subcontract management, construction operations, and financial performance management.
Working knowledge of greenfield project development, utility coordination, site-development sequencing, logistics planning, infrastructure phasing, and mission-critical construction practices.
Experience supporting proposal development, estimating activities, bid reviews, RFP responses, and project pursuits.
Experience with Primavera P6, Procore, Autodesk Construction Cloud, HCSS, Microsoft Project, InEight, or similar project management software.
Proficiency with Microsoft Office Suite.
PMP, PE, or other advanced industry certifications are preferred but not required.
Exceptional leadership, communication, presentation, negotiation, organizational, analytical, and decision-making skills.
Valid driver's license with an acceptable driving record.
Ability to support long-term, site-based project assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily field-based, with significant time spent onsite supporting project execution and customer engagement. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards.
Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career.
#LI-AS1
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Companies are adopting AI across more teams, but most still struggle to produce real workflows, measurable outcomes, and efficient spend. Ramp’s AI Solutions team helps customers turn that spend into working systems: agents, automations, and integrations that run real finance operations, built on top of Ramp’s growing AI product stack, including Glass, Inspect, Router, and Token Spend Management.
As a software engineer on AI Solutions, you'll co-lead customer engagements with an AI Solutions Strategist while also helping turn repeated customer needs into platform capabilities across Ramp’s AI product stack. The Strategist owns business discovery, the ROI story, stakeholder alignment, and rollout planning. You own the technical side: discovery, solution design, prototyping, implementation, production readiness, and the product feedback loop back into our platform and AI primitives.
This is a deeply client-facing, hands-on building role based in New York, with occasional travel depending on engagements. You'll take projects from a customer's first workflow-discovery sessions through launch and into steady, measurable production use — then turn what you learned into reusable product patterns the next customer can adopt without starting from zero.
WHAT YOU'LL DO
- Ship production AI workflows for the companies we partner with — agents, automations, and integrations their teams use every day.
- Translate customer work into platform work by identifying needs across deployments and helping improve Ramp’s AI primitives.
- Make the next deployment easier by turning customer specific work into reusable components, product feedback, reference architectures, and playbooks.
- Run technical discovery with customers: current workflows, systems, data quality, constraints, and what's blocking adoption.
- Turn customer goals into concrete requirements, including security, privacy, reliability, performance, scalability, and cost.
- Prototype fast with end users to de-risk the approach before you build it out.
- Own the technical plan end to end: architecture and data flow, integrations across Ramp and customer systems, permissions and auditability, evals and acceptance tests, and monitoring and runbooks.
- Measure what you ship — quality, adoption, and cost — and stay with it until it's reliable, supportable, and handed off.
WHAT YOU NEED
- A track record of building from 0 to 1 in ambiguous environments: finding the real problem, shipping a first version quickly, learning from users, and hardening it over time.
- Hands-on experience building LLM systems — agents, RAG, evals, and monitoring — and sound judgment on trade-offs like quality, latency, cost, and model choice.
- Strong coding ability in Python, TypeScript/JavaScript, Java, Go, or similar.
- Comfort working across APIs, integrations, data pipelines, and cloud infrastructure (AWS, GCP, or Azure), and designing systems that are secure and scale.
- Experience working directly with customers or end users: you can scope an ambiguous problem with a room of stakeholders and write clear technical docs afterward.
- Strong written communication. You can produce technical plans, customer facing explanations, handoff docs, and clearly explain tradeoffs.
- Willingness to travel up to ~50%, flexible based on project and customer needs.
Nice to have
- Background in forward deployed engineering, solutions architecture, technical consulting, or sales engineering.
- Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting.
- Experience turning repeated customer needs into reusable product primitives, internal tools, or implementation playbooks.
- Experience optimizing AI cost or performance, such as model routing, caching, or token spend analysis.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Tel Aviv-Yafo, Gush Dan, Israel
At-Bay
About At-Bay
We are an insurance company built by cybersecurity experts, leveraging our technology and security expertise to better understand digital risks and, thus, build better insurance products and services. We help clients by providing insurance products, guidance on their security issues, and active risk management. Like software, digital risk is eating the world and we aim to empower businesses to thrive in this ever-changing landscape.
We are distributed globally with hubs in San Francisco, New York City, Atlanta, and Tel Aviv.
We have aggressive plans to scale our business and believe the best way to make that happen is to immediately invest in further developing our teams.
About the role
We're looking for a strong Software Engineer whose core strength is writing excellent, production-grade code. You will play a crucial role in building, maintaining, and monitoring our high-scale live Python microservices in production. You will also collaborate closely with our data scientists, helping them ship code that's readable, maintainable, and built to last.
Responsibilities
Design, build, and maintain high-scale Python microservices and their infrastructure.
Deploy robust code to production and take full ownership of maintaining live services at high scale.
Integrate complex logic into our production systems, working closely with the engineering, devops, and data science teams.
Own the data infrastructure and tooling our systems rely on, and shape unstructured data into a form ready for analysis.
Help data scientists write readable, maintainable code, and raise software engineering standards across the team.
Qualifications
5+ years of experience as a software engineer.
Extensive hands-on experience developing Python microservices.
Proven track record of deploying to production and maintaining live services at high scale.
Strong software-engineering fundamentals: OOP, design patterns, SOLID, clean code, and architecture.
Bachelor's degree or higher in Computer Science or another STEM field.
Experience with AWS (concretely EKS).
Driven and result-oriented.
A solid track record of execution, with strong attention to detail.
Nice to have
Previous hands-on experience in the ML domain or a solid grasp of core ML concepts.
Experience building services and tools that track the ML lifecycle and optimize ML workloads.
Experience integrating MLOps tooling experiment trackers, data versioning, and practices such as CI/CD/CT.
Working knowledge of data cleaning and wrangling, and the right tools for the job.
Ops experience with AWS and Kubernetes.
Location:
Tel Aviv, Israel
Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THIS ROLE
We’re hiring experienced performance engineers to make performance measurement at Supabase rigorous, repeatable, and actionable by product teams. This role owns the benchmarking and profiling systems we use to detect regressions, explain performance changes, and publish credible numbers for customers and the market. You’ll build the tooling and the methodology and make it easy for product teams to use it correctly.
You’d join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There’s no legacy process to inherit — you’ll help define how we measure and communicate performance metrics at Supabase.
WHAT YOU’LL DO
- Build and evolve benchmarking, profiling, and load-testing tooling (cloud, database, and end-to-end).
- Define benchmark suites and reference workloads that reflect real customer behavior (and evolve them as the products change).
- Establish performance baselines and regression gates across products (variance tracking, environment control, and detection of changes).
- Build mechanisms that turn benchmark results into action: triage workflows, owner routing, and clear, reproducible reports.
- Partner closely with database teams (e.g. Multigres, OrioleDB) to identify bottlenecks and land concrete performance improvements.
- Enable the company to publish credible, repeatable performance numbers for customers and the market.
- Help teams self-serve performance testing and make performance a first-class engineering concern.
PROBLEMS YOU MIGHT WORK ON
- Build our continuous benchmarking infrastructure so product teams can spot performance regressions early. Ideally, teams can run benchmarks directly on PRs or locally while developing a feature.
- Analyze and eliminate issues with load generators, workloads or benchmark environments to ensure that benchmarks are reliable indicators for actual product performance.
- Build regression triage tooling that pinpoints what changed (diffing, profiles/traces, query-level attribution).
- Help product teams so they can analyze the root cause of performance regressions in benchmark environments themselves.
WHAT WE’RE LOOKING FOR
- Deep experience in performance engineering, benchmarking, and profiling of complex distributed systems. Specifically, you have owned benchmarking systems where reproducibility and controlling variance mattered.
- Strong systems intuition (databases, storage, networking, cloud infrastructure).
- Comfortable working across product, infra, and database teams.
- Pragmatic, tooling-oriented mindset with strong communication skills.
- Depth on at least one end of that stack: Linux kernel internals (virtual memory, scheduling, networking, IO) or database internals (query planning, storage engines, buffer and WAL management)
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We're hiring experienced performance engineers to find and land performance wins across the Supabase stack — from the query optimiser to block device level, and across the network paths and cloud infrastructure that connect our distributed platform. This is a performance delivery role: real, measured improvements to our database, platform, and APIs as we scale toward enterprise and platform-grade workloads. The methodologies you develop and tooling you build exist to multiply that delivery.
You'd join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There's no legacy process to inherit — you'll help define how performance engineering works at Supabase.
WHAT YOU'LL DO
- Find bottlenecks in live production systems and characterize them precisely enough that the owning team can act on them without you in the room.
- Partner closely with database teams (e.g. Multigres, OrioleDB) and infra teams to land concrete performance improvements.
- Build, communicate, and evolve performance methodologies and tooling that turn live production data into actionable insight.
- Partner with the observability team to capture the right signals and establish a unified view of platform performance (latency, throughput, tail behavior) across products.
- Help teams self-serve performance analysis and make performance a first-class engineering concern.
PROBLEMS YOU MIGHT WORK ON
- Tune the kernel's paging behavior to production workloads
- Reduce memory overhead in OrioleDB and Multigres
- Identify and eliminate sources of latency spikes from application to kernel level
- Identify scalability bottlenecks across the entire stack and work the appropriate teams in Supabase and the wider community to resolve them
WHAT WE'RE LOOKING FOR
- Deep experience in performance engineering, specifically performance analysis of complex distributed systems.
- You can walk the whole stack: follow a tail-latency problem from the query optimizer through the syscall boundary to the IO scheduler — or across pooler hops, network paths, and availability zones — reading profiles and traces at every layer.
- Depth on at least one end of that stack: Linux kernel internals (virtual memory, scheduling, networking, IO) or database internals (query planning, storage engines, buffer and WAL management)
- Strong working knowledge of networking and cloud infrastructure performance: TCP behavior under load, network virtualization overhead, and the performance characteristics of AWS primitives (EBS throughput and IOPS, instance network limits, placement groups, cross-AZ latency).
- Proven ability to turn performance insights into real product and architecture improvements — including getting teams you don't belong to to prioritize and ship the fix.
- Strong written communication: your problem characterisations are precise, reproducible, and compelling on their own.
- Pragmatic, tooling-oriented mindset; comfort working across product, infra, and database teams.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Sydney
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers.
As strategic partners to law firms and in-house teams, Legal Engineers thrive in ambiguity and help lawyers do higher-quality work faster and with more confidence using Harvey.
WHAT YOU’LL DO
- Work directly with lawyers at current and prospective customers to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work.
- Serve as the voice of the customer, translating feedback and legal workflow insights into concrete, lawyer-ready product direction.
- Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt.
- Build and refine product demonstrations, workflows, and use cases that reflect how legal teams actually work, including how AI is changing that work.
- Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed.
- Provide competitive and market intelligence specific to the APAC legal tech landscape.
- Further strengthen Harvey’s reputation in the APAC region as a credible, substantive, and forward-looking AI partner to the legal industry.
WHAT YOU HAVE
You move confidently through uncertainty, you operate at speed, and ship solutions that work—iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI's potential to transform legal work, a bias towards action, and the creativity to solve problems nobody's cracked yet.
- Based in Sydney and eligible to work in Australia.
- Australian practising certificate (or equivalent common-law qualification).
- At least 3 years of experience as a qualified lawyer at a top-tier law firm (e.g., Band 1 Chambers / AFR Top 10) and/or/in-house with strong exposure to complex legal workflows and client expectations.
- Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations.
- Ability to operate seamlessly across legal, product, and sales contexts—translating between stakeholders with clarity and precision.
- Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership.
- Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them.
ADDITIONAL INFORMATION
- Location: Sydney, NSW (Hybrid with flexibility)
- Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role.
WHAT WE OFFER
- Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home.
- Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more.
- Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot.
- Retirement & Security: Comprehensive coverage designed to support your long-term well-being.
- Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents.
- Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support.
- Professional Development: Annual support for courses, certifications, conferences, and books.
- Remote Work Allowance: Monthly support for home office, internet, and phone expenses.
- Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-GW1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco, CA | 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
We are seeking a Director, Technical Accounting – M&A to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A
As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators.
This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you.
In this role, you will:
Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures
Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes
Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized
Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill
Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations
Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews
Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses
Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters
Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments
Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions
Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing
Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms
Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education
You may be a good fit if you:
Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end
Hold an active CPA license
Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company
Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity
Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny
Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models
Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design
Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders
Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications
Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls
Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling
Curious about and quick to adopt new AI tools, including Claude and Claude for Finance
Strong candidates may also:
Have deep, practitioner-level expertise in one or more of the following:
Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions
Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative
Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D
Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions
Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes)
Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | 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
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across teams
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
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
—
$605,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board.
You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed.
Responsibilities
Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members
Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure
Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage
Create exec-support runbooks and SLAs that keep the service consistent as it grows
Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go
Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them
Establish the board member device, account, and access setup process with our Onboarding lane
Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage
Participate in the Core on-call rotation and contribute to the knowledge base and runbooks
Maintain a regular on-site presence in San Francisco
You may be a good fit if you have
7+ years of experience in IT support and 3+ years in executive support
Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service
Experience supporting executives, their assistants, or a board to a white-glove standard
A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told
Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle
AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure
Composure when an urgent escalation lands, and the judgment to know when to pull in help
High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work
A security-first mindset and excellent judgment about when user experience yields to security requirements
Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work
The instinct to write things down: runbooks, KB articles, and status updates that keep people informed
Nice to have
Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements
AV depth beyond first response, such as broadcast, live events, or room design input
Experience building runbooks, self-service content, or support automation
Experience supporting AI/ML research environments or highly technical user bases
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$180,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | 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
As our Cloud Hyperscaler Readiness Lead, you’ll build scalable programs to set our cloud partners (AWS, Google Cloud, and Microsoft Azure) up for success. You will support the global sales teams across our cloud partners with content, training, and programming, working closely with Anthropic’s Product Marketing,Partner Enablement, and Cloud Partnership teams. Your job is to develop and curate the right material on a rapid cadence, and to tailor content for each audience, ensuring that the messages, formats, and channels each cloud uses to upskill their sellers and solutions architects can position and deploy Claude with confidence. You’ll stay close to our GTM teams, using what our co-sellers are hearing in the field to sharpen what you build and how it lands. This role is the connective tissue that helps diverse audiences across all our cloud partners understand not just what Claude does but also why it matters to the customers they serve.
Responsibilities
Land our mission and differentiation.
You'll make sure Anthropic's mission and our approach to safe, responsible frontier AI show up accurately and consistently wherever cloud sellers encounter us, so the case for Anthropic as the enterprise's trusted AI partner is clear. When positioning changes, you'll get the update into the right channels quickly and retire what's out of date.
Ensure internal and external readiness.
You'll shape our certifications and scaled training for the way each cloud learns and upskills its people. You won’t simply rinse-and-repeat known patterns; instead, you’ll shape programs that fit each provider's world and map to how its marketplace and co-sell mechanics actually work. Internally, you'll enable Anthropic’s field team to be aware of products and programs and effectively engage CSP partners.
Connect the field to the content.
You'll pair internal assets with what our GTM team are hearing in customer conversations, and turn that traction into co-sell plays and assets the next hundred sellers can use without anyone from our team in the room.
Measuring Impact.
You'll define the signals that connect this work to partner-sourced pipeline, deal velocity, and seller engagement, watch what's actually changing seller behavior, and adjust based on what you see.
You may be a good fit if you have
A working understanding of how Cloud Service Providers go to market
Deep understanding of what motivates sellers, and how to land a message so it gets retained
A track record of taking a narrative or asset to scale through channels you don't own, and showing what changed because of it
Excellent program management skills, a systems mindset, and comfort operating in ambiguity against a fast launch cadence
Experience pairing marketing and enablement content with field feedback to build plays, assets, and/or repeatable programs for internal and external teams
A background in product marketing, partner or channel marketing, sales enablement, or co-sell program management. (We’re also very happy to hear from you if you come from a non-traditional background!)
The ability to make safety and responsibility a credible, compelling part of a commercial story, and genuine interest in Anthropic's mission
Strong presence in front of an audience, from a live seller call to a room of technical and commercial people at once
The ability to influence people you don't manage, across Anthropic and inside large partner organizations
Willingness to dive in and figure out what needs to be done, often without concrete guidance or a large supporting team
Strong candidates may also have
Experience with marketplace and/or reseller motions
Experience shaping positioning and differentiation for enterprise buyers
Experience launching technical products or platform capabilities through a channel or partner ecosystem
Hands-on familiarity with LLM and AI developer tooling, or a demonstrated ability to get technical quickly in a new domain
Experience using AI in your own day-to-day workflows to extend your scale and reach
Familiarity with LMS and partner portal platforms
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:
$270,000
—
$310,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on, and the team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it.
We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT, and you will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice.
Key responsibilities
Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on, including changes originating in other teams that land on our platform
Architect and mature the engineering pipeline the team develops against: pull request workflow, CI/CD, automated UAT, and the deploy path from source control to production
Establish shared AI-assisted development standards for the team, converting existing individual usage into consistent practice that holds up under review
Work with engineering teams outside GTM on shared architectural problems and common tooling, where the right answer is a platform decision rather than a local one
Build and shape the agentic tooling running on top of our platform, and set the pattern other engineers follow when they build the next one
Trace the dependency chain from upstream data and downstream quoting and provisioning systems, and make sure design decisions account for what they break
Partner with the platform developers on the team as engineering practice deepens, expanding what the team can safely ship
Minimum qualifications
Have strong software engineering fundamentals: version control discipline, testing, code review, deployment automation, and a bias toward simple designs
Have built the delivery pipeline for a team, not just worked within one, and can describe the sequencing choices you made
Have led a team through a step change in engineering practice as its scope grew, including what you did when adoption slowed
Work fluently with AI coding tools and agentic development workflows, and have views on how a team should standardize around them
Can run a technical discussion across teams that do not report to you and leave it with a decision rather than a follow-up meeting
Reason about systems you do not own well enough to predict how your changes affect them
Prefer influence through demonstrated work over positional authority
Preferred qualifications
Have worked on business-critical enterprise platforms where financial correctness and auditability mattered
Have experience with Salesforce or comparable enterprise platforms, including their metadata and deployment models
Have built tooling or agents on top of an enterprise system of record
Have operated in a company under audit or compliance constraints
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ГибридLjubljana, Slovenia; You lead by building, and you're demonstrably strong in production code, not only in design
Limassol, Cyprus
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