Location: Marseille, France
Are you a health professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have an allied health background or previous experience as a Physical Therapist, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 8,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in France.
You speak French and English (please submit your application in English)
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Conditions of Employment
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move.
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How We Hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: Sta. Rosa, Laguna
Workplace: OnSite
Duties and Responsibilities
- Customer Onboarding
- Conducts customer due diligence and KYC (know-your-customer)
- Checks the legitimacy of the proof of identity and escalates immediately if suspected counterfeit or suspicious.
- Validates the completeness and accuracy of customer information on the customer information sheet/account opening form.
- Conducts signature verification.
- Photocopies the proof of identity and files it together with the account opening form.
- Creates the customer profile and opens the account in the Core Banking System (CBS)
- Secures appropriate approval for the creation completed.
- Releases passbook / chequebook / Time Deposit Certificate, as applicable, depending on the product availed by the customer.
- Scans the Account Opening Document Set.
- End-Of-Day (EOD) generation of report of all accounts opened and submits EOD report to the Service Delivery Head.
- Customer Information Update – validation of customer documents presented to support the update if customer-initiated request or performs update of customer profile as part of the periodic review.
- Conducts Enhanced Due Diligence as necessary.
- Maintains Customer’s Account in the system based on customer’s request or bank-initiated activities.
- Preparation of Customer Notifications and monitor its delivery status.
- Fire-Proof Cabinet / Vault Custodianship
- Safekeeps accountable forms and records the utilization of accountable forms.
- Safekeeping of Account Opening Documents, together with the proof of deposit, in a secured and organized manner during the branch banking hours.
- Act as dual custodian to safekeep or release the cheques received in a fire-proof cabinet/vault for deposit to the Depository Bank by the Teller.
- Customer Interaction such as but not limited to:
- Attends to customer queries at the branch.
- Responds to Customer Inquiry via email.
- Resolves customer complaint.
- Call-out (TD Maturity, Bounced Cheques, etc.)
- Release and Monitoring of Bounced Cheques Pick up and/or Replacement
- Debit Cards Handling
- Release of Debit Cards to Customers and Tagging in the System
- Blocking of Card – Lost / Stolen
- Destruction of aged card
- All files shall be safekept in the designated filing cabinet and shall be within the retention period.
- Ensure completion of tasks assigned within the agreed turnaround-time.
- Other processes that may arise related to Account Services.
- Timely reports concerns identified and possible issues that might have impact to branch operations.
- Acts as reliever when somebody goes on leave based on the relief arrangement within the team.
- Organizes team files (soft and hard copy) and adheres to the record retention policy.
- Identifies processes/systems for improvement but ensuring controls are in place.
- Initiates projects for the betterment of the team and the company as a whole.
- Participates on UAT/UVT for new or enhancement of systems that will have impact to the team.
- Participates in Business Continuity Plan (BCP) Activities.
- Prompt identification and escalation of issues noted and propose resolution to the immediate supervisor.
- Performs tasks that maybe assigned from time to time other than the basic responsibilities listed above.
- Assists in combatting money laundering by ensuring processes required are in place.
- Complies with regulatory requirements like BSP, AMLC, PDIC, BIR and other governing bodies.
- Strict adherence to company’s policies and code of conduct.
EDUCATION & COMPETENCIES
- University degree on Banking & Finance, or any related Business Course
- With at least 3 years of relevant experience in a banking industry
- Strong knowledge and experience in teller services or branch operations
- Sufficient knowledge of BSP regulations
- Good communication skills
- Problem-solving skills in a well-structured manner
- Ability to work with different culture, race, or ethnic group.
- Can work independently with minimal supervision.
- Acceptable risk management skills and ability to mitigate identified risks.
- Good interpersonal skills
- Keen attention to details
- Organize, innovative and results oriented.
- Ability to multi-task in a fast-paced environment
- Positive attitude knows how to find ways to address different circumstances.
- With official Signature Verification, KYC / CDD Training / Seminars attended.
Location: New York
Workplace: remote
About the role:
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: United States; Phoenix; Seattle; California; Denver
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States.
In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory..
We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment.
As an Account Executive, you will:
- Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations.
- Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally.
- Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value
- Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success
- Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships
- Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions
- Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth
- Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment
You may be a good fit if you have:
- 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas.
- Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors.
- Established regional network, including state and local departments and agencies, prime contractors, and industry associations.
- Experience selling SaaS, AI/ML, or enterprise software solutions to government clients.
- High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up
- Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals
- Creativity and strong technical acumen to structure unique, mutually beneficial partnerships
- Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences
- Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%).
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Yerevan, Armenia
Description
We are seeking a detail-oriented and proactive
InfoSec Compliance Operations Specialist
to support the implementation and ongoing operation of the organization’s Information Security governance, compliance, policy, and certification activities.
This is a hands-on, execution-focused role. The specialist will assist with maintaining policies and procedures, collecting and organizing compliance evidence, supporting audits and certifications, updating Information Security documentation, monitoring assigned actions, and coordinating routine communications with internal and external stakeholders.
The role does not include formal management responsibility, strategic ownership of the Information Security program, approval authority, or independent decision-making regarding risk acceptance, policy approval, or compliance exceptions.
Responsibilities
Support the implementation and ongoing operation of Information Security governance, compliance, and ISMS activities
Maintain compliance documentation, control matrices, risk registers, evidence repositories, corrective-action trackers, and related records
Collect, review, organize, and maintain evidence for ISO/IEC 27001, PCI DSS, internal audits, external assessments, and certification activities
Support the preparation, review, publication, version control, and periodic update of Information Security policies, standards, procedures, and guidelines
Track compliance gaps, audit findings, risk-treatment actions, remediation activities, responsible owners, and completion deadlines
Support internal and external audits, readiness assessments, control reviews, and certification activities
Prepare compliance reports, audit updates, policy summaries, risk documentation, meeting materials, and management-review content
Assist with maintaining the Information Security risk register, control inventory, Statement of Applicability, and supporting documentation
Support customer security questionnaires, third-party assessments, and routine coordination with IT, Legal, Procurement, Compliance, and business teams
Follow up with responsible stakeholders on outstanding evidence, document reviews, corrective actions, and compliance deadlines
Requirements
Relevant education or professional experience in Information Security, cybersecurity, compliance, risk management, audit, policy administration, or a related field
Strong understanding of Information Security governance, risk, compliance, internal controls, and standards such as ISO/IEC 27001 or PCI DSS
Experience preparing, reviewing, updating, or maintaining policies, procedures, compliance records, or audit documentation
Strong documentation, business-writing, communication, organizational, and stakeholder-coordination skills
Ability to manage multiple deadlines, follow established procedures, work with technical and non-technical teams, and handle confidential information appropriately
Location: Lagos, Nigeria
Who We Are
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Senior Risk Analyst (Portfolio Risk) is responsible for driving portfolio risk analytics, credit performance monitoring, Expected Credit Loss (ECL) modeling, impairment analysis, and value-added risk initiatives that optimize portfolio performance and profitability.
The role partners closely with Risk, Finance, Product, Collections, and Technology teams to deliver actionable portfolio insights, automate reporting, improve decision-making, and support strategic initiatives such as Risk-Based Pricing (RBP), digitalization, and portfolio optimization.
This role is ideal for someone with strong analytical capabilities, deep knowledge of retail lending portfolios, IFRS 9/ECL methodologies, and the ability to translate complex data into business recommendations within a fast-paced financial services environment.
What You Will Do
Monitor and analyze portfolio performance across all lending products, identifying emerging risks, trends, and business opportunities.
Develop, automate, and maintain portfolio risk dashboards, management reports, and executive reporting.
Lead value-added portfolio initiatives including Risk-Based Pricing (RBP), digitalization, and portfolio optimization projects.
Deliver timely, accurate, and insightful reporting to support strategic and operational decision-making.
Own the portfolio Expected Credit Loss (ECL) and impairment analysis in accordance with IFRS 9 requirements.
Provide profitability analysis by evaluating impairment costs, portfolio performance, and P&L contribution across each lending product.
Support forecasting of credit losses, provisions, and portfolio performance under different economic scenarios.
Design and enhance portfolio monitoring frameworks, early warning indicators, and risk performance metrics.
Collaborate with Data, Finance, Product, Collections, and Technology teams to improve data quality and reporting automation.
Build automated reporting solutions and improve data infrastructure to reduce manual processes.
Conduct deep-dive analyses into portfolio trends, customer behavior, segmentation, and credit performance.
Perform portfolio stress testing, sensitivity analysis, and scenario modeling.
Support regulatory reporting, internal audits, and governance requirements relating to portfolio risk.
Recommend risk policy enhancements based on portfolio performance and analytical findings.
Maintain documentation for portfolio methodologies, reporting processes, and analytical models.
Drive continuous improvement initiatives across portfolio analytics and reporting capabilities.
Requirements
What You Bring
Educational Qualification
Bachelor's degree in Statistics, Mathematics, Economics, Finance, Accounting, Computer Science, Engineering, or a related quantitative discipline.
Master's degree is an added advantage.
Professional Certifications
FRM (Financial Risk Manager) – preferred.
CFA (Chartered Financial Analyst) – an advantage.
ACCA, ACA, or equivalent accounting qualification is beneficial.
IFRS 9 or Credit Risk certifications are an added advantage.
Microsoft Power BI, SQL, Python, SAS, or Data Analytics certifications are desirable.
Experience
Minimum of 5–7 years of experience in Portfolio Risk, Credit Risk Analytics, Risk Modelling, or Financial Risk.
Experience within banking, fintech, consumer lending, digital lending, or financial services.
Demonstrated experience with IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio monitoring.
Experience building automated reporting and portfolio dashboards.
Experience supporting senior management with portfolio performance insights and strategic recommendations.
Professional Competencies
Strong knowledge of portfolio risk management principles and retail lending products.
Deep understanding of IFRS 9, ECL methodologies, impairment calculations, and provisioning.
Strong analytical skills with experience interpreting large datasets and translating insights into business actions.
Advanced proficiency in SQL, Excel, Power BI, Tableau, Python, SAS, R, or similar analytical tools.
Strong understanding of P&L drivers, portfolio profitability, and financial performance analysis.
Experience designing portfolio monitoring frameworks and early warning indicators.
Ability to automate reporting processes and improve reporting efficiency.
Strong knowledge of credit risk metrics including PAR, Roll Rates, Vintage Analysis, Loss Rates, Recoveries, and Collections performance.
Excellent presentation, communication, and stakeholder management skills.
Strong attention to detail with the ability to influence strategic decision-making through data.
Ability to manage multiple priorities within a fast-paced environment.
This Role Is Ideal For You If:
You enjoy transforming complex portfolio data into strategic business insights.
You are passionate about credit risk analytics, portfolio optimization, and automation.
You enjoy improving reporting efficiency through digitalization and data-driven solutions.
You thrive in solving complex business problems using analytics.
You enjoy collaborating across Risk, Finance, Technology, and Product teams.
You want to influence credit strategy and portfolio performance at scale.
You May Not Enjoy This Role If:
You prefer operational roles over analytical and strategic work.
You are uncomfortable working with large datasets and complex financial models.
You dislike automation, reporting, or continuous process improvement.
You prefer highly repetitive work with limited opportunities for innovation.
You are not interested in financial performance, impairment, or portfolio optimization.
Benefits
What's In It For You
Opportunity to shape portfolio strategy within a leading fintech organization.
Direct ownership of portfolio analytics, IFRS 9 reporting, and risk insights that influence executive decision-making.
Exposure to large-scale digital transformation, Risk-Based Pricing (RBP), and advanced analytics initiatives.
Opportunity to collaborate with Risk, Finance, Product, Data, Engineering, and Executive Leadership teams.
Continuous learning, professional certification sponsorship, and career development opportunities.
Competitive compensation and the opportunity to solve complex, high-impact credit risk challenges.
Location: Lagos, Nigeria
Who We Are
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Senior Anti-Fraud & Credit Policy Manager leads the Bank's Credit Policy and Fraud Prevention function, ensuring robust controls across customer onboarding, loan origination, and portfolio management. The role is responsible for developing and optimizing fraud prevention strategies, KYC controls, credit policy rules, and fraud detection models while safeguarding the business against financial crime and operational losses.
The successful candidate will oversee anti-fraud systems, external risk data providers, blacklist management, and continuous monitoring of fraud attacks. Working closely with Risk, Credit, Product, Operations, Technology, Compliance, and Data Science teams, this role will drive automation, enhance decisioning frameworks, and strengthen fraud prevention capabilities across the lending lifecycle.
This role is ideal for someone with extensive experience in fraud risk management, credit policy, digital lending, and data-driven decisioning within banking or fintech.
What You Will Do
Lead the design, implementation, and continuous improvement of credit policies and anti-fraud strategies across all lending products.
Develop, monitor, and optimize KYC, customer verification, and fraud prevention controls throughout the customer lifecycle.
Design, implement, and fine-tune fraud detection rules, cross-match models, and decision engines to improve fraud detection while minimizing false positives.
Manage fraud prevention platforms and decisioning systems to enhance approval quality and customer experience.
Oversee relationships with external risk data providers, including credit bureaus, identity verification providers, device intelligence, and fraud intelligence vendors.
Evaluate the effectiveness of third-party fraud and identity solutions and recommend enhancements where necessary.
Own and maintain customer, device, identity, and merchant blacklists, ensuring timely updates and governance.
Monitor fraud trends, emerging threats, attack patterns, and suspicious activities across digital channels.
Lead daily fraud monitoring, investigate fraud incidents, and coordinate rapid response actions to mitigate losses.
Develop fraud dashboards, KPIs, and management reports to support executive decision-making.
Conduct root cause analysis of fraud events and implement preventive controls.
Collaborate with Product, Engineering, Data Science, and Operations teams to implement new fraud controls and policy enhancements.
Review lending policies and recommend updates based on portfolio performance, fraud trends, regulatory changes, and business strategy.
Support internal and external audits, regulatory examinations, and compliance activities relating to fraud prevention and credit policy.
Ensure all fraud prevention activities comply with regulatory requirements and internal governance standards.
Lead continuous improvement initiatives through automation, analytics, and advanced fraud detection techniques.
Requirements
What You Bring
Educational Qualification
Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, Economics, Finance, Accounting, Engineering, or a related discipline.
Master's degree is an added advantage.
Professional Certifications
Certified Fraud Examiner (CFE) – preferred.
Certified Anti-Money Laundering Specialist (CAMS) – an advantage.
Certified Risk Management Professional (CRMP), FRM, or equivalent certifications are desirable.
Professional certifications in Data Analytics, SQL, Python, SAS, or Power BI are an added advantage.
Experience
Minimum of 6–8 years of experience in Fraud Risk Management, Credit Policy, Financial Crime, Credit Risk, or Digital Lending.
At least 3 years in a leadership or senior specialist role.
Experience within banking, fintech, consumer lending, or financial services.
Hands-on experience managing fraud prevention systems, KYC platforms, and rule-based decision engines.
Experience working with external fraud intelligence, identity verification, and credit bureau providers.
Professional Competencies
Strong knowledge of digital fraud prevention, financial crime, and credit policy management.
Deep understanding of KYC, Customer Due Diligence (CDD), identity verification, and fraud risk controls.
Experience designing and optimizing fraud rules, scorecards, cross-match models, and decision engines.
Strong understanding of fraud attack vectors, synthetic identity fraud, account takeover, device fraud, application fraud, and first-party fraud.
Experience managing external risk data providers and integrating third-party fraud solutions.
Strong knowledge of blacklist management, fraud monitoring, and fraud investigation processes.
Proficiency in SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Strong analytical and problem-solving skills with the ability to identify emerging fraud patterns.
Excellent stakeholder management, communication, and leadership skills.
Strong understanding of regulatory requirements relating to fraud prevention, AML, KYC, and consumer lending.
Ability to balance fraud prevention with customer experience and business growth.
This Role Is Ideal For You If:
You enjoy building robust fraud prevention and credit policy frameworks.
You are passionate about protecting customers and the business from financial crime.
You enjoy analyzing fraud patterns and improving decision engines through data.
You thrive in fast-paced, technology-driven lending environments.
You enjoy collaborating across Risk, Compliance, Product, Engineering, and Operations teams.
You are motivated by solving complex fraud challenges using analytics and technology.
You May Not Enjoy This Role If:
You prefer operational processing over strategic risk management.
You are uncomfortable making high-impact risk decisions.
You dislike working with fraud analytics, rule optimization, and large datasets.
You prefer environments with limited change and innovation.
You are not interested in regulatory compliance, fraud prevention, or credit governance.
Benefits
What's In It For You
Opportunity to lead fraud prevention and credit policy for a fast-growing fintech organization.
Ownership of fraud strategy, KYC controls, and credit decisioning frameworks that directly influence portfolio quality and customer trust.
Exposure to advanced fraud technologies, digital identity solutions, and analytics-driven decisioning.
Opportunity to collaborate with Risk, Product, Engineering, Data Science, Compliance, and Executive Leadership teams.
Continuous learning, professional certification support, and career development opportunities.
Competitive compensation and the opportunity to solve complex, high-impact fraud and credit risk challenges.
Location: Lagos, Nigeria
Who We Are:
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role:
The Portfolio Manager is responsible for developing, implementing, and managing credit portfolio strategies that support the Bank's expansion into new markets and regions. The role ensures sustainable portfolio growth by balancing risk, profitability, and customer acquisition while adapting credit strategies to local market dynamics and regulatory environments.
This role will lead portfolio performance monitoring, market analysis, credit strategy optimization, and expansion initiatives across multiple geographies. Working closely with Credit Risk, Product, Finance, Data, Collections, and Business teams, the Portfolio Manager will drive data-driven decisions that maximize portfolio quality and business performance.
This role is ideal for someone with strong expertise in portfolio management, retail lending, credit analytics, and expansion strategy within banking or fintech.
What You Will Do:
Develop and execute portfolio strategies to support expansion into new markets and regions.
Design localized credit strategies based on customer behaviour, market conditions, regulatory requirements, and portfolio performance.
Monitor portfolio quality, profitability, and growth across multiple regions using key credit risk metrics.
Analyse portfolio trends, customer segments, and product performance to identify growth opportunities and emerging risks.
Perform portfolio forecasting, scenario analysis, stress testing, and profitability assessments.
Recommend enhancements to underwriting policies, pricing strategies, and portfolio limits to optimise business performance.
Partner with Product and Business teams to support the launch of new lending products and market expansion initiatives.
Monitor key portfolio indicators including delinquency, default rates, recoveries, vintage performance, roll rates, and loss trends.
Conduct deep-dive analysis on regional portfolio performance and provide actionable recommendations to senior management.
Collaborate with Finance on Expected Credit Loss (ECL), impairment analysis, and portfolio provisioning.
Develop automated dashboards and portfolio reporting to support executive decision-making.
Drive continuous improvement initiatives across portfolio analytics, reporting automation, and risk management processes.
Ensure compliance with internal credit policies, regulatory requirements, and governance standards.
Work closely with Risk, Data Science, Technology, Collections, and Operations teams to improve portfolio performance and customer outcomes.
Requirements
What You Bring
Educational Qualification:
Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Business Administration, Engineering, Computer Science, or a related quantitative discipline.
A Master's degree is an added advantage.
Professional Certifications:
Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) certification is preferred.
Professional certifications in Credit Risk Management or Portfolio Management are an added advantage.
Microsoft Power BI, SQL, Python, SAS, or equivalent data analytics certifications are desirable.
Experience:
Minimum of 5–7 years of experience in Portfolio Management, Credit Risk, Credit Analytics, or Retail Lending.
Hands-on experience managing consumer lending portfolios within banking, fintech, or other financial institutions.
Experience supporting regional expansion, multi-market portfolios, or new market launches is an added advantage.
Professional Competencies:
Strong understanding of retail lending, portfolio management, and credit risk principles.
Experience analysing portfolio performance using key risk and financial metrics.
Knowledge of IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio profitability.
Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Experience with portfolio segmentation, vintage analysis, roll rates, delinquency monitoring, and stress testing.
Strong understanding of lending products, customer behaviour, and market dynamics.
Excellent communication, stakeholder management, and presentation skills.
Strong commercial acumen with the ability to balance business growth and portfolio quality.
Ability to work effectively in a fast-paced, data-driven environment while managing multiple priorities.
This Role Is Ideal For You If:
You enjoy building and optimising lending portfolios across new markets.
You are passionate about using data to drive strategic business decisions.
You thrive in high-growth, fast-paced financial services environments.
You enjoy collaborating with cross-functional teams to deliver business outcomes.
You are motivated by solving complex portfolio and credit risk challenges.
You May Not Enjoy This Role If:
You prefer operational or administrative work over strategic portfolio management.
You are uncomfortable working with large datasets and financial analysis.
You dislike balancing commercial growth with risk management.
You prefer highly repetitive work with limited opportunities for innovation and strategic thinking.
Benefits
What's In It For You:
Opportunity to lead portfolio strategy for regional expansion within a fast-growing fintech organisation.
Exposure to large-scale lending portfolios, market expansion, and strategic growth initiatives.
Opportunity to collaborate with Credit Risk, Product, Finance, Data, Engineering, and Executive Leadership teams.
Continuous learning, professional certifications, and career development opportunities.
Competitive compensation and the opportunity to influence business growth while managing portfolio performance across multiple markets.
Location: Lagos, Nigeria
Who We Are:
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role:
The Credit Policy Analyst is responsible for designing, implementing, and continuously improving credit policies and underwriting strategies for new lending products, including Credit Cards, Credit Lines, Buy Now Pay Later (BNPL), Merchant Financing, and other emerging digital credit solutions.
The role partners closely with Credit Risk, Product, Data Science, Fraud, Technology, Finance, and Operations teams to ensure new products are launched with robust credit decisioning frameworks that balance portfolio growth, customer experience, profitability, and risk management.
This role is ideal for someone with strong expertise in credit policy development, consumer lending, and data-driven decision-making within a fast-paced banking or fintech environment.
What You Will Do:
Design and develop credit policies for new lending products, including Credit Cards, Credit Lines, BNPL, Merchant Financing, and other digital lending solutions.
Define customer eligibility criteria, underwriting standards, credit limits, pricing strategies, and approval rules for new products.
Develop, test, and optimize credit decision rules, scorecards, and policy frameworks to improve portfolio quality and customer acquisition.
Monitor the performance of newly launched products and recommend policy enhancements based on portfolio analytics and business performance.
Conduct policy simulations, scenario analysis, and impact assessments before implementing credit policy changes.
Collaborate with Product, Data Science, Fraud, Engineering, Collections, and Finance teams throughout the product development lifecycle.
Analyse customer behaviour, repayment trends, portfolio performance, and profitability to support policy improvements.
Recommend changes to approval strategies, credit limits, pricing, and risk controls based on portfolio performance and market trends.
Develop automated dashboards, portfolio monitoring reports, and policy performance metrics for management reporting.
Support A/B testing and champion/challenger strategies to continuously improve credit decisioning.
Ensure all credit policies comply with regulatory requirements, internal governance standards, and the Bank's risk appetite.
Maintain comprehensive documentation of credit policies, governance approvals, decision rules, and implementation procedures.
Support audits, regulatory reviews, and compliance activities relating to credit policy management.
Requirements
What You Bring
Educational Qualification:
Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Business Administration, or a related quantitative discipline.
A Master's degree is an added advantage.
Professional Certifications:
Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or equivalent risk management certification is preferred.
Credit Risk or Consumer Lending certifications are an added advantage.
Professional certifications in SQL, Python, SAS, Power BI, or Data Analytics are desirable.
Experience:
Minimum of 4–6 years of experience in Credit Policy, Credit Risk, Portfolio Analytics, Consumer Lending, or Lending Strategy.
Hands-on experience designing or managing credit policies for retail or digital lending products.
Experience within banking, fintech, consumer finance, or other regulated financial institutions.
Experience supporting the launch of new lending products is an added advantage.
Professional Competencies:
Strong understanding of consumer lending, underwriting principles, and credit policy management.
Experience developing credit strategies for products such as Credit Cards, Credit Lines, BNPL, Merchant Financing, or unsecured lending products.
Knowledge of scorecards, decision engines, credit bureau data, affordability assessments, and risk-based pricing.
Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Understanding of portfolio monitoring, IFRS 9, Expected Credit Loss (ECL), and portfolio performance metrics.
Experience conducting policy performance analysis, segmentation, champion/challenger testing, and portfolio optimisation.
Excellent analytical, communication, and stakeholder management skills.
Strong attention to detail with the ability to balance business growth, customer experience, and credit risk.
This Role Is Ideal For You If:
You enjoy designing credit strategies for innovative lending products.
You are passionate about balancing business growth with prudent risk management.
You enjoy using data and analytics to improve customer decisioning.
You thrive in collaborative, cross-functional product development environments.
You enjoy solving complex lending and credit policy challenges.
You May Not Enjoy This Role If:
You prefer operational or administrative work over analytical and strategic roles.
You are uncomfortable making data-driven credit policy recommendations.
You dislike working with large datasets, policy optimisation, and performance analytics.
You prefer highly repetitive work with limited opportunities for innovation.
Benefits
What's In It For You:
Opportunity to shape the credit strategy for innovative lending products within a leading fintech organisation.
Hands-on experience launching and optimising products such as Credit Cards, Credit Lines, BNPL, and Merchant Financing.
Exposure to Product, Data Science, Risk, Engineering, Finance, and Executive Leadership teams.
Continuous learning, professional certification support, and career development opportunities.
Competitive compensation and the opportunity to solve complex, real-world lending and credit risk challenges.
Задачи:
— Разрабатывать новые mini apps и продуктовые модули для trading web-платформы с экосистемой mini apps (tournaments, challenges, loyalty, achievements, education и другие engagement-механики);
— Создавать frontend на React + TypeScript;
— Разрабатывать backend на Python (FastAPI / Django);
— Интегрировать frontend с API, торговыми и аналитическими сервисами;
— Проектировать архитектуру, участвовать в code review и технической декомпозиции;
— Использовать AI-инструменты (Cursor, Claude Code, Codex) для ускорения разработки с обязательной проверкой качества кода.
Требования:
— Коммерческий опыт с React, TypeScript и Python;
— Опыт разработки на FastAPI и/или Django;
— Опыт работы с PostgreSQL/MySQL, Redis и REST API;
— Понимание архитектуры SPA, Docker и CI/CD;
— Опыт написания тестов и проведения code review;
— Умение писать безопасный, масштабируемый и поддерживаемый код.
Будет плюсом:
— Опыт в fintech, trading, betting, gaming или iGaming;
— Опыт с WebSocket, Kafka, event-driven архитектурой;
— Знание Kubernetes, OpenAPI, BFF;
— Понимание OWASP и принципов безопасной разработки.
Условия:
— Современный стек (React, TypeScript, FastAPI, Django, PostgreSQL, Redis, Docker);
— Работа над высоконагруженным продуктом с real-time механиками;
— Сильная продуктовая команда и обязательное code review;
— Возможность влиять на архитектуру и развитие платформы;
— В первую очередь рассматриваются кандидаты, которые уже находятся на Кипре.
УдалённоFullstack Developer (React/Python) | RELOCATION TO CYPRUS #relcoation #fulltime #itjob #backend #frontend #react #python https://teletype.in/@courierus/gbt--OoEV1Z; RELOCATION TO CYPRUS (SUPPORTED) Ищем Fullstack Developer для развития современной trading web-платформы с экосистемой mini apps (tournaments, challenges, loyalty, achievements, education и другие engagement-механики)
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: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
If the idea of contributing to the critical and core services that drive the fundamental functioning and building blocks of data processing involved in our data pipelines, this opportunity fits you well. As an engineer on the core team, you will design, implement, and maintain the central parts of our data pipelines needed to operate the best-in-class reliable, secure, and scalable data movement. You will prioritize the quality, efficiency, and reliability of the responsibility areas of the team while collaborating effectively with other peers and the rest of the engineering organization. The ideal candidate exhibits exceptional technical skills, meticulous attention to detail, creativity, motivation, and a results-oriented mindset.
This is a full-time hybrid position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Java17, JUnit5
Docker and Kubernetes
AWS, GCP, Azure
SQL, BigQuery
Bazel, BuildKite
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems
Demonstrated ability to write well-structured and performant code
Ability to lead software design to satisfy project requirements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like Buidkite
Bonus Skills
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of AI tools and usage is a plus
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
УдалённоseniorNew York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
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Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоUnited States; Phoenix; Seattle; California; Denver; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Yerevan, Armenia
seniorLagos, Nigeria
seniorLagos, Nigeria
Lagos, Nigeria
Lagos, Nigeria
San Francisco, CA | Seattle, WA
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
San Francisco, CA; Maintain a regular on-site presence in San Francisco
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