Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking an
Android Software Engineer
to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade Android applications where AI is at the core of the user experience, ensuring performance, reliability, and usability across all mobile interactions.
Working closely with backend and machine learning teams, this position will focus on delivering scalable Android applications that integrate advanced AI capabilities while maintaining a seamless user experience.
Key Responsibilities
Build and maintain production Android applications using
Kotlin
.
Integrate AI-powered features such as chat, vision, voice, and recommendation systems through backend APIs.
Design intuitive user experiences for AI interactions, including streaming responses, retries, and partial results.
Optimize application performance, memory usage, and responsiveness for AI-intensive workflows.
Implement analytics, logging, and user feedback mechanisms to support continuous AI evaluation and product improvement.
Collaborate closely with backend and machine learning engineers to define API integrations and system behavior.
Ensure application stability, security, and scalability within production environments.
Requirements
Minimum
3 years of Android application development experience
using Kotlin.
Hands-on experience integrating AI-powered features, such as Large Language Models (LLMs), computer vision, or speech APIs.
Strong understanding of asynchronous programming using
Coroutines
and
Flow
.
Experience working with RESTful or gRPC APIs and structured data formats.
Strong debugging, troubleshooting, and performance profiling skills.
Experience developing applications that operate reliably under conditions involving latency, partial failures, and non-deterministic behavior.
Familiarity with
ML Kit
or lightweight on-device inference is an advantage.
Experience publishing and maintaining production applications on the
Google Play Store
.
Preferred Technical Skills
Experience with the following technologies is preferred:
Kotlin / Java
SQL and NoSQL databases
TensorFlow Lite (on-device inference)
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient.
Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms.
Key Responsibilities
Build, maintain, and operate backend systems that power AI-enabled features in production.
Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models.
Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems.
Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities.
Own production operations, including monitoring, logging, alerting, and incident response.
Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability.
Continuously improve backend architecture and production systems based on operational insights and real-world usage.
Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions.
Requirements
Strong backend engineering experience in production environments.
Proven experience building and operating high-throughput, low-latency backend services.
Experience designing scalable APIs and distributed systems.
Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems.
Strong debugging and troubleshooting skills within distributed production environments.
Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance.
Excellent analytical, problem-solving, and collaboration skills.
Technical Skills
Experience with the following technologies is preferred:
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
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.
Location: Pune, India
About Flosum
Flosum is at the forefront of innovation in the Salesforce DevOps ecosystem. Our comprehensive, Salesforce-native solution integrates version control, continuous deployment, automated merge tools, and deep code analysis—enabling development teams to move faster with confidence.
Beyond DevOps, Flosum offers enterprise-grade Disaster Recovery and a cybersecurity framework purpose-built for Salesforce, empowering organizations to fully embrace DevSecOps. Our platform is trusted by developers, architects, admins, and CIOs to meet both technical and compliance demands—all within the Salesforce ecosystem.
If you’re excited by the idea of contributing to a high-growth SaaS company with proven impact and powerful technology, we’d love to meet you.
About You
You’re an energetic, curious, and results-oriented individual eager to grow your career in tech sales. You’ve had early success in prospecting or sales development and are already used to carrying a quota and exceeding targets, now is the time to take your game to the next level. You thrive in fast-paced environments, are highly coachable, and bring both grit and empathy to your work.
You are:
Driven, self-motivated, and excited to learn.
Organized and detail-oriented—able to manage your time and leads effectively.
Collaborative and team-minded, with strong interpersonal skills.
Comfortable with ambiguity and resourceful when facing challenges.
Passionate about starting a career in SaaS or the Salesforce ecosystem.
Bonus Points If You Have:
Salesforce certifications or admin experience
Familiarity with tools like Outreach, Cognism, Lusha, or Qualified
Exposure to DevOps, cybersecurity, or Salesforce development environments
Multilingual proficiency to support global outreach
Requirements
What You’ll Be Doing
We’re growing our in-office team in Pune and we are building the sales team who will work closely with peers and sales leaders to build a qualified pipeline for our global sales teams. This role is Office based in Pune and the customers we are targeting will be largely in North American Time zones therefore you will need to be flexible to cover these hours.
In this role, you will:
Prospect into Salesforce customers via phone, email, and LinkedIn
Respond quickly and professionally to inbound leads
Qualify prospects by understanding their current challenges, goals, and fit
Schedule discovery calls and demos for Account Executives
Deliver the Flosum value prop clearly and creatively
Keep Salesforce CRM up to date with clean, accurate activity and notes
Follow internal processes and campaign playbooks to ensure visibility and reporting
Stay current on the Salesforce ecosystem, Flosum’s product roadmap, and industry trends
Work from our Pune office daily, collaborating with your manager and team
Career Growth Path
This role is built for ambitious professionals. High-performing BDRs will be considered for growth opportunities, such as Senior BDR or SMB Account Executive role, typically within 9-12 months. Promotions are based on demonstrated readiness for the next role and business needs, with clear coaching and development support provided along the way.
Benefits
Competitive compensation & incentive structure
Daily coaching, mentorship, and growth opportunity
Be part of a global, mission-driven team
Learn from top leaders in Salesforce DevOps and SaaS sales
Work on exciting challenges in a rapidly growing industry
Location: India; Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Nebius is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As an Electrical Design Engineer, you will support the design, review, and technical development of electrical systems for data centers across the APAC portfolio.
This role is ideal for a
Data Center Electrical Design Engineer
with hands-on
data center design
experience who can work across conceptual design, design reviews, partner coordination, and technical decision-making. You should be comfortable evaluating
both low-voltage and medium/high-voltage electrical systems
and helping ensure designs meet Nebius standards, local regulations, and operational requirements.
Responsibilities
Review electrical design packages for data center projects, including internal concepts and third-party partner designs.
Support development of electrical design concepts for high-density data center environments.
Evaluate UPS, LV, MV, and HV electrical infrastructure, including systems up to 400V and MV/HV systems around 11kV and above.
Review cable distribution, electrical pathways, and design coordination with data hall layouts.
Partner with mechanical, construction, commissioning, and operations stakeholders to ensure designs are buildable, maintainable, and aligned with business needs.
Assess designs for concurrently maintainable data center operations and high power-density environments.
Help identify alternative design solutions, product options, and technical tradeoffs.
Requirements
Data center electrical design experience.
Strong understanding of electrical systems used in mission-critical or data center environments.
Experience with LV and/or MV/HV electrical infrastructure.
Ability to review design documents, technical proposals, and partner deliverables.
Ability to read and interpret contracts, design requirements, and technical standards.
Strong communication skills with internal stakeholders, external design partners, and construction teams.
Practical engineering mindset with ability to think beyond narrow specialization.
Nice to Have
Experience with hyperscale, neocloud, GPU, or AI infrastructure data centers.
Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms.
Familiarity with high-density rack environments, including 50kW to 200kW per rack.
Experience supporting design reviews through commissioning or operational turnover.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hyderabad, India; Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Nebius is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the APAC portfolio.
This role is ideal for a
Mechanical Engineer
who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments.
Responsibilities
Review mechanical design packages for data center projects, including internal concepts and third-party partner designs.
Support mechanical design development for high-density data center environments.
Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures.
Coordinate closely with electrical design, construction, commissioning, and operations stakeholders.
Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards.
Help assess technical tradeoffs, alternative solutions, product options, and design risks.
Support design reviews tied to power density, airflow, cooling capacity, and operational readiness.
Requirements
Data center mechanical design experience.
Strong understanding of mechanical systems in mission-critical or data center environments.
Experience with air-cooled data center design.
Ability to evaluate mechanical capacity, flows, and design assumptions.
Ability to review design documents, technical proposals, and partner deliverables.
Ability to read and interpret contracts, design requirements, and technical standards.
Strong communication skills with internal stakeholders, external design partners, and construction teams.
Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty.
Nice to Have
Experience with liquid-cooled data center technologies.
Experience with hyper-scale, neocloud, GPU, or AI infrastructure data centers.
Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms.
Familiarity with high-density rack environments, including 50kW to 200kW per rack.
Experience supporting design reviews through commissioning or operational turnover.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Tbilisi, Georgia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you an experienced customer experience professional with leadership skills and a strong passion for being strategic and using insights to deliver exceptional service?
#WOLT-GEO-SA
Does leading support within one of Europe’s fastest-growing tech companies sound like your next adventure? If the answers to the questions are "yes" then keep reading!
Wolt is a Finnish technology company and we're best known for our delivery platform. On our mobile apps or website, customers can order their favorite meals from our restaurant partners. We launched in Georgia in April 2018 and have since then started conquering the food delivery scene in Tbilisi, Batumi, Rustavi and Kutaisi and other cities in Georgia.
As our team is growing, we're looking for a Support Manager to join our Shared Service Center team in Georgia! In our Support team there is no typical day. To be successful in this role you will need to be independent, customer-oriented, and have excellent interpersonal and relationship-building skills to provide best support to our Customers, Restaurants and Courier Partners. We are looking for someone who takes ownership beyond the obvious and who can take that extra step to support the team.
As our Support Manager you will lead our Shared Service Center team and inspire the high-quality standard of service that we provide to our customers and partners. With their excellent management skills, our Support Managers ensure that our Support Leads are running the operations between customers, restaurant partners and courier partners smoothly.
What you’ll be doing
Work together with the Head of Support and take full ownership of the experience and satisfaction of the customers and partners
Contribute to strategic initiatives and their execution in order to constantly improve the service proposition
Guide and coach the team in order to improve the associate’s performance, personal development and happiness
Implement new work procedures and features and encourage feedback around these
Analyze and optimize customer and partner touchpoints and look for patterns in incoming requests and workforce management to then put them into actions and improvements.
Together with the Content, Training and Quality team, develop the quality and content processes within the Support operations in line with the training operations
Collaborate closely with other teams to meet the needs of the customers and improve overall level of service.
Lead by example and show what customer-obsessed means: At Wolt, the Support Team knows that customer interactions serve a larger purpose than simply fixing problems. The Support Manager will lead by example and raise the bar for the way support is provided at Wolt.
Our humble expectations
You can formulate yourself very well, both verbally as well as in written form in English and Georgian.
You are customer obsessed and have experience in Customer Support or Customer Service.
You have 3-5 years of experience in leading a team, preferably leading a leadership team or other more senior team
You enjoy working together and leading a growing team, and making sure your colleagues always understand the purpose of what they do and what defines a great performance.
Multitasking is your strong suit and you’re prepared to manage multiple incoming interactions simultaneously, and effortlessly determine which to prioritise.
You are able to translate data into actions and make the rest of the core team understand how Customer Support is progressing, so you need to have good Excel skills.
You have a can-do attitude and are ready to roll up your sleeves and get to work in a fast-paced startup environment.
You have strong presentational skills and proficiency in Office tools
Any trainings or experience in people or project management are an advantage
A degree in Business Administration is a strong plus!
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!
We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today!
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
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: Canada; United States
Role:
We are is looking for qualified
Payload System Verification and Validation Engineers
to join our advanced satellite payload development team. This role focuses on system-level engineering of next-generation digital communications payloads, with a strong emphasis on
requirements verification through test
.
The selected candidate will contribute to the entire payload lifecycle — from architecture definition and requirement specification to integration, verification, and in-orbit validation. The role requires good understanding of both
digital signal processing
and
RF payload architectures
, especially involving
Software Defined Radio (SDR)
and
Direct Radiating Array (DRA)
systems.
Tasks
Define, analyze, and validate system and subsystem requirements for digital telecommunications payloads.
Develop and execute
verification plans
, including defining test strategies, writing test procedures, and analyzing results.
Lead or support system-level payload test campaigns, both at equipment and spacecraft level.
Interface with payload hardware and software teams to ensure correct implementation and traceability of requirements.
Participate in technical reviews and support anomaly investigation and resolution.
Work with multi-disciplinary teams including RF, digital, embedded software, FPGA, and systems engineering.
Contribute to technology evolution by identifying opportunities for design optimization and innovation.
Must haves
Bachelor’s degree in Electrical Engineering, Telecommunications, Aerospace Engineering, or a related field.
5 years+ of experience
in telecommunications systems, particularly in digital payloads. (experience outside of the Space industry will also be considered)
Strong expertise in requirements verification by test
, including practical experience in developing and executing test plans.
Solid understanding of
digital payload architectures
, including SDR-based flexible processors and beamforming using DRA.
Familiarity with
hardware and software tools
used in payload verification, such as:
Vector Network Analyzers (VNA)
and
Spectrum Analyzers
for RF testing
Baseband signal generators
,
Channel Emulators
, and
BER testers
Python
,
MATLAB
, or
LabVIEW
for test automation and data analysis
SCPI
,
VISA
, and similar interfaces for instrument control
Good understanding of FPGA-based systems and embedded software architectures is a plus.
Must be eligible to work in Canada, capable of obtaining necessary security clearance.
Complementary skills/knowledge
Previous experience in Space or Constellation Operations
Development and testing of new automated testing methodologies
Knowledge of requirements Management tools such as DOORS/Windchill/Jama
Demonstrated capability to efficiently work autonomously and with little to no supervision
Written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Canada; United States
The
Satellite-Level Verification and Validation (V&V) Engineer
focuses on the highest tier of spacecraft integration, ensuring the fully assembled satellite meets all mission, launch provider, and environmental requirements.
Role Overview
This role manages the end-to-end verification lifecycle at the highest tier of architecture. It starts at the beginning of the program with verification planning and test methodology design, continues through full-system functional and environmental validation, and concludes with final qualification sign-off and in-orbit initialization readiness.
Key Responsibilities & Tasks
Verification Architecture & Matrix Ownership: Define the global verification strategy; author the System Verification Plan (SVP) and own the master Verification Control Matrix (VCM) to prove 100% requirement compliance.
Method of Compliance (MoC) Definition: Determine the optimal, most cost-effective blend of Verification by Test, Analysis, Demonstration, and Inspection (TADI) for complex mission-level requirements.
End-to-End Mission Validation: Design and execute full-system functional tests, "Day-in-the-Life" (DITL) mission simulations, and complex Fault Detection, Isolation, and Recovery (FDIR) validation scenarios.
Environmental & Launch Qualification: Define test profiles, pass/fail criteria, and post-test correlation frameworks for full spacecraft environmental campaigns (Thermal Vacuum, Sine-Vibe, Acoustic, Shock).
Sign-off & Qualification Review: Lead Technical Review Boards, manage non-conformance reports (NCRs), present compliance evidence at Qualification Reviews (QR), and build the final Flight Readiness data package.
Candidate Prerequisites ("Must Haves")
Experience: 5+ years in aerospace systems engineering, systems V&V, or space mission qualification roles.
Systems Engineering Mastery: Deep understanding of how platform subsystems and digital/RF payloads interact to satisfy top-level mission performance metrics.
Requirements Management: Expert-level capability in tracing, decomposing, and closing out complex requirements using enterprise tools like DOORS, Jama, or Windchill.
Data Synthesis & Analysis: Advanced skills using Python or MATLAB to parse multi-subsystem telemetry, correlate test data with analytical models, and automate post-test verification reporting.
Canada; United States; [Fastwater Staffing] Satellite System V&V Engineer | Montreal, Canada (Full Relocation Package)
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio's next Senior Architect for Emerging Technologies Experimentation Team.
About the job
This position is needed to drive next-generation innovation by designing, prototyping, and implementing forward-looking technical solutions for Twilio’s innovation team.
As an Sr Architect, you’ll leverage your depth of technical knowledge, architectural vision, and leadership to pioneer transformative ideas. This high-impact, entrepreneurial role empowers you to shape the future of Twilio, experiment with emerging technologies, and directly influence our trajectory in a competitive tech landscape. You will be the bridge to guide technical decisions that ensure our experiments can be quickly moved to production, if successful. This role is accountable for ensuring they understand Twilio’s enterprise architecture and can help ensure scalability, extensibility in our technical design as well as call out one way door decisions when defining architectures.
Welcome to Twilio's
Experimentation Team
, the incubation lab where we push boundaries, unlock next-era growth, and turn the once-unimagined into reality.
As part of our Emerging Tech team, you will pioneer Horizon-3 initiatives that fundamentally redefine how humanity interacts with artificial intelligence.
From launching Ola, the world’s first agent-native communication channel, to engineering the ground-breaking Agent-to-Human (A2H) protocol, we are actively building the control room for the autonomous future. If you are a builder driven to disrupt the status quo, reimagine what’s possible, and engineer what comes next, your journey starts here.
Responsibilities
In this role, you'll:
Architect and prototype scalable, high-performance solutions using modern technologies.
Experiment and iterate on new product ideas, leveraging AI, machine learning, and emerging tech.
Lead technical direction, guiding and mentoring engineering teams throughout the development lifecycle.
Partner cross-functionally to align prototypes with business opportunities and strategic goals.
Mentor a group of software development engineers across US and India
Communicate technical vision and results clearly to stakeholders and executive leadership.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
15+ years in architecture or principal engineering roles within innovative, fast-paced environments.
Applied fraud detection and governance framework experience.
Familiarity with AI, machine learning, and LLMs with experience deploying models or AI-driven projects.
Demonstrated success designing large-scale, high-performance architectures across AWS & Azure.
Strong leadership and mentoring skills, with proven ability to drive technical direction.
Excellent communication skills for both technical and non-technical audiences.
Proficiency in multiple programming languages (e.g., JavaScript, Python, Java, Go).
Experience with both front-end (React, Angular) and back-end (Node.js, Spring, SpringBoot) development.
Deep understanding of database technologies (SQL and NoSQL) and their tradeoffs.
Desired:
Experience contributing to open source or tech innovation communities.
Track record of rapid prototyping and iterative product development.
Exposure to distributed systems and high-reliability platforms.
Knowledge of risk management best practices in experimental projects.
Experience working with global teams and remote-first environments.
Entrepreneurial mindset with a passion for emerging technologies.
Advanced problem-solving skills with ability to anticipate technology trends.
Background in engineering and technical architecture roles.
Location
This role will be remote and based in the United States.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $284,320 - $355,400.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $292,080 -- $365,100.
Based in the San Francisco Bay area, California: $324,480 - $405,600.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until January 1 2027 but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Montreal, Canada
Role Overview:
As a Senior PCB Design Engineer, you will take on a leadership position within our hardware design group. Your key duties will revolve around crafting, executing, and validating mixed-signal (Digital & RF) Printed Circuit Boards (PCBs) customized for application in satellite and other orbital systems. These applications encompass a diverse spectrum, encompassing digital control/processing, motor drive units, onboard processors, and mass-storage units, all of which utilize cutting-edge space technologies.
Key Responsibilities:
Lead the digital/analog PCB design for space environments.
Mentor and oversee junior team members and interns in PCB design.
Translate board-level requirements into a comprehensive design concept (incorporating architecture, I/Os, key components, power dissipation estimates, FPGA integration, software integration, etc.).
Collaborate closely with FPGA, software, and test designers to finalize functional concepts and streamline integration.
Complete or review the schematic capture level design.
Identify and manage technology and design risks.
Provide guidance to ensure Design for Manufacture/Test in space environments.
Supervise and review design layout constraints, parts placement, manufacturing, and assembly drawings.
Prepare or review lists of long lead items, bills of materials, and ensure parts qualifications for space.
Conduct and review circuit simulations (using tools like SPICE, Hyperlynx, ADS, etc.) and various design analyses (e.g., worst-case scenarios, FMECA).
Coordinate with various specialized teams (structural, thermal, packaging, manufacturing, quality assurance, etc.) to conduct necessary reviews for PCB component placement and layout.
Oversee board assembly and manufacturing tests.
Prepare and review various documents, including review presentations, test plans, test procedures, etc.
Lead and guide junior team members in testing, troubleshooting, and debugging complex mixed-signal boards.
Provide support for environmental and functional tests and validation for space missions.
Report progress and address issues to the program lead or manager.
Required Qualifications:
Bachelor’s degree in electrical engineering, computer engineering, or equivalent field.
Minimum of seven (7) years of experience in designing processor, digital, analog, high-speed, or mixed-signal PCBs.
Demonstrated expertise in at least one of these areas of competence.
Proficiency in coaching and supervising junior team members and interns.
Experience in design architecture and handling multidisciplinary specifications and reviews (FPGA, software, mechanical, etc.).
Proficiency in tools/software languages such as Excel spreadsheets, Python, MathCAD, Spice, Matlab, JIRA, etc.
Strong understanding of electronic circuits and communication protocols, coupled with extensive PCB design experience.
Knowledge of PCB manufacturing processes.
Exposure to mechanical packaging is a valuable asset.
Experience conducting analyses (FMECA, WCA, signal integrity, power integrity, etc.) using various tools like SPICE, ADS SiPro, Hyperlynx, etc.
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.
Location: New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
At Figma, we're building tools that help teams design, build, and ship better products together. Figma Make enables teams to go from prompt to production code, and the Figma agent is a purpose-built design agent that edits files directly on the Figma canvas.
We're looking for a deeply technical product leader to lead the four teams responsible for Figma's Roundtripping area: Code Context, Design to Code, Code to Design, and Code Platform. You'll manage and grow a team of Product Managers while partnering closely with engineering, design, data, and research leaders.
This team builds the products and platform capabilities that help design and code move fluently together. You'll set the strategy for improving connecting customer codebases to Figma.
This is a full-time role that can be held from our New York hub or remotely within the Eastern US time zone.
What you'll do at Figma:
Lead the product aspects of the four teams driving Figma's Roundtripping area - Code Context, Design to Code and Code to Design, and Code Platform
Set vision, strategy, and goals for how design and code stay in sync at Figma
Own Design to Code and Code to Design workflows end to end, including quality measurement, improvement, and discoverability
Guide the development of the code-context systems and translation primitives that power agentic workflows and round-tripping between design and code
Manage and develop three Product Managers, hire the team's open Product Manager role, and establish a high bar for product management craft
Partner with leaders across engineering, design, data, and research to make technical product decisions and serve needs across Figma's product suite
Establish a strong operating cadence across the area and own adoption goals for MCP and Design to Code/Code to Design workflows
We'd love to hear from you if you have:
3+ years of experience managing Product Managers, with a proven track record of hiring, calibrating, and developing talent
Deep experience shipping developer tools and AI products - has run evals, owned annotation pipelines, and made real ship/no-ship calls on model behavior
A track record of setting strategy and executing on major initiatives in environments with deep technical and product ambiguity - and rallying an org around a bold, unproven bet
Experience working with enterprise customers to understand their workflows and turn that into shipped product
Excellent cross-functional collaboration and written communication with technical depth; credible in engineering reviews and with senior stakeholders
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$204,000
—
$348,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
УдалённоSingapore
seniorLagos, Nigeria
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Pune, India; This role is Office based in Pune and the customers we are targeting will be largely in North American Time zones therefore you will need to be flexible to cover these hours
India; Singapore
Hyderabad, India; Singapore
Tbilisi, Georgia
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
Canada; United States; [Fastwater Staffing] Payload System V&V Engineer | Montreal, Canada (Full Relocation Package)
УдалённоseniorRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
seniorMontreal, Canada
Oakland, California, United States, AMER
New York, NY • United States; This is a full-time role that can be held from our New York hub or remotely within the Eastern US time zone
Автоотклики