Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, Texas; Lisbon, Portugal; London, UK
About the role
The Network Platforms team was formed to build and extend network software infrastructure responsible for delivery of traffic through critical paths of Cloudflare's global network. These systems directly impact traffic across Cloudflare's network infrastructure, across numerous products and millions of customers. They are key to Cloudflare's mission to make the internet faster, safer, and more reliable.
What you’ll do
As a member of the team you will build and extend various software systems that carry traffic on critical paths of Cloudflare's network: from the host server linux kernel, to the network hardware dataplane, to the physical interconnect at an adjacent network. You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will collaborate with engineers across the company, from operations teams to the teams building customer-facing products, ensuring these capabilities match business needs.
Our team at Cloudflare operates under a "Run What You Build" model. This means we are responsible for the health of our systems and actively participate in our team's on-call rotation as part of our operational duties.
What we are looking for
We are looking for smart, innovative team players that have experience in covering Linux kernel network stack development (particularly with eBPF), complex distributed systems, and understanding of internet protocols and technologies. As you’ll be solving problems of massive scale and significance, you are a growth-oriented individual who enjoys being outside of your comfort zone. You are comfortable in a fast-paced but sensible work environment. You value curiosity and empathy and lead with these values.
Role requirements
Systems-level programming experience in Go, Python, Rust, C, or C++
A solid grasp of BGP and internet routing
Relish opportunities to dive into new technologies, and a demonstrated ability to do so
Experience in implementing, deploying, and debugging mission-critical distributed systems
Strong collaboration and communication skills
Willingness to adopt and integrate AI tools and systems into your engineering workflow
Bonus Points
Familiarity vendor switching SDKs
Familiarity with SR-MPLS and sFlow, BGP-LS & PCE protocols
Experience writing packet-processing software (eg, eBPF at TC or XDP, DPDK)
Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting
Experience participating in an on-call rotation
Compensation
● For Portugal based hires: Estimated annual salary is between €68,000-91,000€,
The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: New York, NY
Workplace: OnSite
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
Operating at the epicenter of stablecoin innovation means moving fast and thinking globally. Our team reflects the diverse, international audiences we serve. We hire people who stay agile as the tide ebbs and flows, fix what’s broken without waiting, chase trends before they peak, and remember to have fun through it all.
ABOUT THE ROLE
A highly skilled Solutions Engineer to join our team and help customers, partners, and institutional clients successfully integrate and scale with our stablecoin and blockchain infrastructure. As a key technical liaison between our product, engineering, and business teams, you will design and deliver solutions that demonstrate the reliability, security, and utility of our technology across diverse use cases—including payments, remittances, DeFi, treasury automation, and enterprise blockchain integrations.
This is a hybrid role that blends technical expertise with customer-facing communication. You will act as a trusted advisor, guiding clients from initial discovery through implementation and long-term success.
WHAT YOU'LL DO
- Understand client technical requirements and architect integrations using our APIs, SDKs, wallets, and blockchain infrastructure
- Scope and design end-to-end solutions for stablecoin issuance, transfers, treasury operations, and blockchain connectivity
- Create integration plans, technical diagrams, and deployment recommendations tailored to each client’s environment
- Serve as the primary technical point of contact during pre-sales, onboarding, and early adoption phases
- Run technical workshops, demos, and Proofs of Concept (POCs) to showcase product capabilities
- Collaborate with enterprise customers, fintechs, exchanges, and ecosystem partners to ensure successful implementation
- Provide hands-on guidance during integration, working closely with developers, DevOps teams, and security stakeholders
- Diagnose and resolve API, blockchain, and infrastructure-level issues, escalating to engineering when needed
- Advocate for best practices around operational security, key management, transaction monitoring, and compliance-friendly architecture
- Gather customer insights to influence product roadmaps and feature prioritization
- Partner with Sales, Product, and Engineering to deliver scalable and repeatable technical solutions
- Contribute to technical documentation, integration guides, and internal playbooks
WHAT WE'RE LOOKING FOR
- 3–7+ years of experience in Solutions Engineering, Sales Engineering, Technical Consulting, or similar roles
- Strong understanding of blockchain fundamentals, distributed systems, and crypto payment flows
- Experience working with REST APIs, Webhooks, SDKs, and backend integration patterns
- Hands-on coding ability in at least one language (e.g., JavaScript/TypeScript, Python, Go, Rust)
- Ability to simplify complex technical concepts for both technical and non-technical audiences
- Excellent communication, client-facing, and project management skills
NICE TO HAVE, BUT NOT MANDATORY
- Experience with stablecoins, custody systems, digital wallets, or payment rails
- Familiarity with blockchain protocols such as Ethereum, Solana, or Layer-2 scaling networks
- Knowledge of compliance-relevant concepts such as KYC/AML workflows, transaction screening, or on-chain analytics
- Prior experience supporting enterprise or fintech integrations
THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: Berlin, Germany
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What’s the opportunity?
We’re hiring an
Engineering Manager
for our
Product Workstreams
in the
AI Group
. The AI Group’s product workstreams, partner with the wider product org to build the AI capabilities that underpin Fin. These workstreams do not act as ‘AI services’ for the wider org; they are instrumental in shaping AI products from the earliest stages and owning their ongoing development. Product workstreams are composed of EMs, PMs, Engineers, AI Designers, and Machine Learning Scientists.
You will lead our Berlin-based product engineers in the AI Group and will be a key leader of our Berlin hub, helping it grow. You will also work across Fin's core capabilities, such as Skills, Personalisation, Procedures and Safety, and contribute directly to delivering new Fin products from inception.
This is a
hands-on
EM role. You will lead a senior team of engineers and stay hands-on in the codebase. An EM who regularly works alongside ICs builds the context to make good strategic decisions and to support engineers well. Contributing to Fin’s central AI system, architecture and experimentation are core to the job.
Learn more about Fin's AI engineering and research at
Fin
/research
, and more about Fin at
fin.ai
.
What will I be doing?
As a hands-on leader, you will:
Lead and grow a high-performing engineering team
based primarily in Berlin, with members across our European offices.
Incubate and deliver AI products
from ideation through to success, leveraging backtests, evals and A/B tests to inform what ships.
Contribute directly to our production systems
so you keep first-hand context.
Own operational health
for your workstreams: SLOs, alarms, and proactive management of our most critical systems.
Plan, prioritise and deliver
best-in-class AI products with your most senior engineers, ML Scientists, PMs and AI Designers.
Make AI-first the team default.
Build shared skills, agents, and automations that raise the bar for the team’s output and ambition.
Hire and onboard
great engineers, and help them build the Berlin office.
What skills do I need?
Must-haves:
Strong prior experience as an engineer, with recent hands-on technical contributions.
Strong technical judgement, and the ability to coach senior engineers through complex architecture and product trade-offs.
Strong product sense: you can weigh AI product opportunities and decide what matters most.
A data-driven approach: you use experiments and metrics to make decisions.
Strong ownership of production quality and reliability.
An adaptable leadership style for a group and environment that will grow fast and change shape.
Nice to haves:
Experience leading engineering teams that build and operate generative AI systems in production.
Experience with AI evaluation, backtesting or experiment design at scale.
Experience managing AI costs and how product choices affect it.
Experience in a hands-on EM role, or alternating between EM and IC roles.
Experience helping build or grow a new engineering site.
How will I be supported?
You’ll have a structured onboarding experience to help you get up to speed quickly in Berlin and across Intercom.
You’ll have a close group of management peers to collaborate with and learn from.
We invest in our managers, supporting individual career development through training, coaching and regular feedback.
You’ll have opportunities to contribute to and learn from our wider engineering community.
Benefits
We’re a well-treated bunch, with awesome benefits. If there’s something important to you that’s not on this list, talk to us.
Competitive salary and equity in a fast-growing company.
A flexible, hybrid way of working from our Berlin location.
Regular compensation reviews—we reward great work.
Health, wellbeing and insurance benefits designed for our employees in Germany.
Family-friendly leave and support in line with local requirements and company policy.
Flexible time off so you can take a break when you need it.
A well-equipped Berlin office, including lunch and kitchen provisions.
A MacBook as standard, with flexibility to choose the equipment that helps you do your best work.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: France
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Canada; Remote; Shanghai
Workplace: remote
ABOUT YOU
We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
1. Architecture & Development
Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe.
Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs.
Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway.
Implement CI/CD for data pipelines using Git, dbt, and automated testing.
Define data quality checks and auditing pipelines for ingestion and transformation layers.
2. Leadership & Collaboration
Mentor and guide junior data engineers on data modeling, performance tuning, and Snowflake best practices.
Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake.
Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII).
Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications.
3. Performance & Scalability
Tune algorithm performance.
Establish data partitioning, clustering, and materialized views for fast query execution.
Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight).
4. Governance & Best Practices
Establish and enforce naming conventions, data lineage, and metadata standards across schemas.
Lead code reviews, enforce documentation standards, and manage schema versioning.
Contribute to the company’s evolving data mesh and streaming architecture vision.
Qualification & Skills:
5+ years of experience in Data Scientist, with
3+ years in Spark framework
.
Strong SQL and Python skills, with proven experience building
ETL/ELT
at scale.
Deep understanding of algorithm
performance tuning
,
query optimization
, and
warehouse orchestration
.
Experience with
data pipeline orchestration
(Airflow, Prefect, dbt, or similar).
Solid understanding of
data modeling
(Kimball, Data Vault, or hybrid).
Proficiency in
Kafka
,
GCP
, or
AWS
for real-time or batch ingestion.
Familiarity with
API-based data integration
and
microservice architectures
.
Preferred
Experience lead
machine learning teams
or/and deploying
ML feature pipelines
.
Background in
ad-tech, gaming, or e-commerce
recommendation systems.
Familiarity with
data contracts
and
feature stores
(Feast, Tecton, or custom-built).
Experience managing small data engineering teams and setting technical direction
Strong ownership and ability to work autonomously in a fast-paced environment.
Excellent cross-functional communication — can translate between engineering and business.
Hands-on problem solver who balances velocity with reliability.
Collaborative mentor who raises the bar for team quality and discipline
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Data Scientist, we will conduct a background check that may include the following
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Beograd, Serbia
Workplace: remote
Novakid is on a mission to build the best online education platform for kids worldwide. We've already got over 90,000 students and 3,500 teachers making learning awesome in over 30 countries in Europe and Asia. But we're not stopping there—we need your help to take things to the next level!
We're searching for a senior backend developer who's brilliant with Python, PostgreSQL, and REST APIs, and who's also got a solid understanding of cutting-edge AI models. You'll be joining a small, super-effective team focused on developing the AI magic that powers our language learning platform.
What we offer
Fully remote work (core hours GMT+3).
A chance to shape the future of AI-driven education.
A fun, dynamic team that loves building innovative products.
Unlimited holidays – because we trust you to deliver.
Bonuses and stock options – we grow together.
What you'll bring
A degree in Computer Science, Engineering, or something similar.
5+ years of hands-on experience as a Python Developer. You should be comfortable working with Python 3.8+
Deep experience in designing and building scalable backends and REST APIs. Our stack includes PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery, and pydantic.
A strong grasp of modern LLMs (like OpenAI, Anthropic, Gemini), agentic tools (like Claude Code, OpenAI Codex CLI, Amp) and real experience building solutions that use them.
AI-Native Engineering Workflow
Hands-on experience with AI coding agents in CLI environments: Claude Code, OpenAI Codex CLI, Amp, or similar tools for backend development. You should understand how to orchestrate multi-step engineering tasks—breaking down complex features into agent-executable chunks, reviewing AI-generated code critically, and maintaining architectural integrity. Familiarity with plan-execute-review workflows where AI agents propose implementation strategies before coding. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow.
Proficiency in context engineering for team collaboration: setting up and maintaining shared configuration files (agents.md, CLAUDE.md, custom skills/plugins) that encode team conventions, API patterns, and deployment practices. Experience sharing these configurations across teams to ensure consistent AI-assisted development. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow.
Experience with microservice architecture and the AWS serverless stack.
You should be fluent in English.
Bonus points if
You've worked in startups or small teams.
You're a self-starter who also thrives as part of a team.
You're all about solving business problems, not just writing code.
You can use AI tools to create solutions quickly, in days or hours, not weeks or months.
You have experience with e-commerce or e-learning projects.
You've led teams or mentored other developers.
You've deployed applications on AWS.
You know your stuff when it comes to modern software architecture.
You've worked with no/low-code workflow automation.
Location: Singapore
Workplace: OnSite
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We’re looking for a highly motivated, self-starter founding Account Executive in Singapore who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will:
1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals
2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency
3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends
4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more
Requirements
- 7-10 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms
- Experience selling technical solutions to product, engineering, or innovation teams is a strong plus
- Proven track record of meeting & exceeding sales targets in a fast-paced environment
- Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects
- Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization
- A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale
- Fluency in English and one of the SEA languages (e.g. Bahasa Melayu, Thai, or Tagalog) and a deep understanding of business, cultural, and buying nuances across Southeast Asia
- Experience selling across multiple Asian markets (Southeast Asia/ASEAN ) is strongly preferred.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: South Africa
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the Site Reliability Engineering Team
The Site Reliability Engineering (SRE) team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance. Our team works across the stack and collaborates closely with infrastructure and product engineering teams. We embed reliability into everything we do—whether it’s designing scalable systems, improving observability, or leading incident response. If you’re motivated by complex systems, passionate about uptime and performance, and excited to make reliability a first-class concern—this role offers the opportunity to make a lasting impact.
Who we’re looking for
We’re looking for engineers who are excited to improve the reliability of complex systems and enjoy digging into how things work. As an early member of the SRE team, you’ll help shape our approach to reliability at scale and collaborate closely across the company. You might be a great fit if you:
- Bring a generalist mindset and are comfortable working across infrastructure layers—from compute and networking to storage, databases, and app runtime environments
- Are curious and proactive, with a strong desire to understand systems end-to-end and uncover hidden failure modes
- Care deeply about uptime, observability, and performance, and see reliability as a product feature
- Think through architectural trade-offs with reliability, simplicity, and maintainability in mind
- Take initiative, work independently, and follow through—from identifying reliability risks to driving improvements
- Collaborate well with engineers across disciplines and enjoy supporting teams through production readiness, incident response, and postmortem reviews
Responsibilities ✔️
- Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOS
- Collaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failure
- Define and measure SLIs/SLOs to guide reliability improvements
- Write and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradation
- Improve our incident response process, lead postmortems, and drive follow-through on reliability risks
- Develop internal tools and automations that make it easier to operate and scale our systems
- Participate in our on-call rotation—responding to, resolving, and learning from production incidents
- Contribute to design and architecture discussions with a focus on operability and long-term sustainability
- Document systems, share learnings, and help grow a reliability-minded engineering culture
Qualifications 🌟
- Based in PST/PDT timezone
- Experience operating and scaling production systems in cloud environments (we use AWS)
- Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysis
- Comfort working across infrastructure layers (e.g. compute, networking, storage, observability tooling)
- Strong debugging and systems thinking skills—you can follow problems across services and layers
- Ability to work independently, take ownership, and drive projects from problem discovery through resolution
Nice to have
- Familiarity with Kubernetes or similar orchestration systems
- Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry)
- Exposure to TypeScript or interest in working in a TypeScript-based codebase
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: San Francisco; New York City
Workplace: Hybrid
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role 💭
We’re looking for a commercially minded, AI-native BDR who enjoys understanding what technical teams are building and finding thoughtful ways to start conversations with them. You’ll combine account research, AI-assisted prospecting and engagement with the startup community to create qualified opportunities for our sales team. This is a hands-on outbound role: researching accounts, reaching out, following up and qualifying prospects are central to the job.
Responsibilities ✔️
- Creative Outbound Prospecting: Generate new leads through targeted outbound activities, including cold calls, emails, LinkedIn outreach, events and other channels. We are looking for resourcefulness and innovation crafting new outbound strategies.
- AI-Powered Workflows: Build and improve lightweight AI-assisted workflows for account research, identifying relevant buying signals and preparing outreach. Validate sources, review messages before sending and use results to refine your approach. The goal is more relevant conversations and qualified opportunities, not automation or message volume for its own sake.
- Account Research: Research and identify key prospects, decision-makers, and stakeholders within target accounts to tailor your outreach efforts. Understand what a company is actually building — their stack, their auth setup, their scaling problems.
- Lead Qualification: Engage with prospects to understand their pain points, business needs, and how WorkOS can help solve their challenges, qualifying them for the sales team.
- Pipeline Development: Set up high-quality meetings and demos for Account Executives by nurturing leads through the sales funnel.
- CRM Hygiene: Diligently log all prospecting activities, conversations, and pipeline data in Salesforce (or other CRM systems) to maintain accurate records and forecast pipeline health.
- Metrics-Driven: Meet and exceed monthly quotas for outbound activities, including the number of meetings set, emails sent, calls made, and qualified opportunities created.
- Continuous Learning: Stay up-to-date on industry trends, WorkOS product developments, competitor offerings, and what's changing in AI and developer tooling — so you can position yourself as a trusted advisor to technical buyers.
Qualifications 🌟
- Experience: You have experience creating opportunities for a product, business or community. That could come from sales development, growth, partnerships, community building, a startup or your own project. A BDR title isn’t required, but you should be able to explain how you identified an audience, earned their attention, followed up and turned interest into a meaningful next step.
- Target Personas: Experience outbounding to cofounders and CTOs.
- AI-Native: You have personally built or materially improved an AI-assisted workflow and used it in practice. You can explain the problem, how the workflow works, what you contributed and how you checked its output. You know where automation helps and where human judgment is essential, and can describe what improved or what you changed when it failed.
- Community Engagement: You actively engage with startup or technical communities and can share how you have contributed, learned from others or built useful relationships. This might happen through your work, online discussions, events, customer communities or a project. We value curiosity, consistent contribution and thoughtful follow-through, not the size of your network or who you know.
- Writing Skills: Able to independently craft messages and campaigns to technical leaders. You use AI to draft and scale, but you have the judgment to know when the output isn't good enough to send.
- Communication Skills: Excellent verbal and written communication skills, with the ability to craft personalized messages that resonate with different audiences.
- Technical Aptitude: Comfort with understanding technical products and effectively communicating the value of WorkOS to both technical and non-technical stakeholders. Bonus if you can read API docs, poke at a codebase, or have shipped something yourself.
- Tools: Experience with a modern sales stack and AI tools. Examples include Salesforce, Gong, Loom, Outreach, Claude, ChatGPT and Clay; experience with these specific tools is not required.
- Curiosity & Adaptability: Willingness to learn, adapt quickly to new strategies, and stay curious about the industry and your prospects' needs.
- Self-Starter: Highly motivated, self-sufficient, and able to manage your time effectively.
- You are located in the greater San Francisco Bay Area, able to work locally, available for in-person meetings with clients and customers, and able to attend in-person events as needed.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE 💭
The Platform team builds the shared backend components and development systems that every WorkOS product, workflow, and team member depends on.
On the platform side, we build common backend capabilities used across WorkOS, including our events infrastructure, webhooks, email delivery, outbox-pattern queues, and more. These systems allow product teams to scale without rebuilding the same critical primitives. Because they sit on critical paths across our products, scalability, latency, consistency, reliability, and operational simplicity matter deeply.
On the productivity side, we build the systems that take code from an idea to production, including CI/CD, build and test infrastructure, deployment workflows, and internal tooling. As agents play a larger role in software development and increase the volume of code and concurrent changes, we are rethinking this platform to scale with that volume through safe execution, fast feedback, relevant context, and verifiable outcomes.
Our internal teams are our customers. Success means they can build and operate products faster, adopt shared capabilities instead of creating one-off solutions, and confidently delegate more work to agents.
WHAT YOU’LL WORK ON ✔️
- Design, build, and operate high-throughput, low-latency shared backend systems that preserve consistency and durability through retries, duplicates, reordering, partial failures, and high concurrency
- Create platform interfaces, abstractions, and paved paths with a clean developer experience that makes shared capabilities easy for product teams to adopt
- Rotate across and embed with product teams to experience their workflows directly, understand their friction, and use those insights to shape platform investments
- Map evolving product-team needs and collaborate with the Foundations team to introduce new systems and primitives, such as scalable search, database partitioning, and archival strategies
- Own and evolve our CI/CD, build, test, deployment, and release infrastructure to shorten feedback loops and make production changes safer
- Reimagine CI/CD for an agentic software development lifecycle by building isolated, reproducible, and verifiable execution environments, along with automated loops that allow agents to diagnose failures, update changes, rerun validation, and safely move work through review, deployment, and production verification
- Instrument the entire software development lifecycle and use metrics such as feedback time, CI reliability, deployment frequency, lead time, and change failure rate to identify bottlenecks and verify that platform investments improve engineering outcomes
- Own platform reliability end to end, including observability, capacity planning, incident response, root-cause analysis, and prevention
- Shape the long-term platform strategy with a high bar for introducing new infrastructure. Thoroughly evaluate vendors and existing solutions, make deliberate build-versus-buy decisions, and account for operational complexity, lock-in, migration cost, reversibility, and long-term ownership
WHAT WE’RE LOOKING FOR 🌟
- 8+ years of software development experience, with a track record of owning high-impact technical projects
- Experience building and operating distributed systems or platform services at scale, with a strong understanding of event-driven systems, queues, concurrency, idempotency, consistency, backpressure, retries, and failure recovery
- Experience building or operating CI/CD, build systems, test infrastructure, deployment platforms, or similar developer tooling
- A track record of designing platforms, frameworks, and tooling with a clean developer experience that makes complex capabilities easy for other engineers to adopt and operate
- Strong operational instincts across observability, capacity planning, incident response, and reliability
- Hands-on experience with AI coding agents, or a strong interest in building agentic CI/CD systems, verifiable execution environments, automated feedback loops, evaluations, and verification
- Exceptional pragmatism and technical judgment. You treat major infrastructure changes with the gravity they deserve and make deliberate, evidence-based decisions about when to build, buy, or improve an existing system
- Ability to move between long-term architecture and hands-on implementation while making thoughtful tradeoffs in an ambiguous environment
- Strong written and verbal communication skills, including experience documenting systems and influencing technical direction across teams
- Familiarity with TypeScript, Node.js, React, Postgres, AWS, Terraform, and queueing or streaming systems such as SQS and Kinesis is helpful, but not required
We expect strong depth in either distributed platform systems or developer infrastructure, along with an interest in working across both.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Ukraine
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
BSc in Computer Science, Mathematics, or related field.
5+ years of professional experience working on AI/ML projects.
Good command of English (written and spoken).
Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
Good grasp of software-engineering best practices: Git, code reviews, testing, CI.
Preferred Qualifications
Knowledge of C++ or C# for performance-critical modules.
Experience deploying models via Docker, Kubernetes, or cloud AI services.
Exposure to vector databases and RAG workflows.
Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
Familiarity with modern data lake architectures and scalable data storage concepts.
Location: London, England, United Kingdom
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About the Role
Over the past few years, we have rebuilt our infrastructure almost from scratch. And now we are expanding the infrastructure team.
As a part of the team, you will work to minimize the number of incidents (availability, performance, security), speed up time-to-delivery of new features to customers, building flexible, high availability, and protected infrastructure to ensure every customer’s journey or request runs smoothly.
Responsibilities
Work with alerts and incidents that arise in the system
Assist development teams with emerging issues
Automate work and write documentation
Participate in the creation of application pipelines
Participate in the migration of infrastructure and application services
Develop, maintain and ensure system resilience
Develop dynamic environments
Requirements
Tech stack:
AWS, Kubernetes, MongoDB, PostgreSQL, RabbitMQ, Redis, Ansible, Terraform, Grafana, Prometheus, Sentry, Loki, Jenkins, Github Actions.
Proven experience with cloud-based solutions (AWS/GCP)
Knowledge of Linux troubleshooting, including networking and file systems
Experience in infrastructure automation using Ansible, Terraform, Bash, Python, etc.
Experience with containers and platforms such as Docker, Kubernetes, etc.
Experience with administration RabbitMQ/Kafka
Experience with administration of SQL/NoSQL databases
Good writing and verbal communication skills to ensure efficient communication within and outside the team and to explain your decisions
Ability to focus on what matters most, manage your time, and get things done
To be a team player, ready to help engineers investigate issues or teach them new things
Love to automate manual work and try new modern technology/approaches
What we Offer
Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
Salary: £90,000 – £120,000
Employee stock options plan
Private medical and dental insurance
Life and critical illness cover
Latest-generation MacBook Pro and 4k display
Monthly credit towards Wheely journeys
Cycle to Work scheme
Professional development stipend
Relocation support, including visa sponsorship and allowance
All of your personal information will be collected stored and processed in accordance with
Wheely’s Candidate Privacy Notice
Location: Berlin, Germany
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an
Senior Product Manager
specialist
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Responsibilities
Develop a clear vision and prioritized roadmap for the Claims area and drive product success as a key contributor — from First Notice of Loss (FNOL) through to payout.
Shape the automation of the claims process: rule-based and AI-supported claims assessment, straight-through processing, and efficient workflows through to settlement and payout.
Drive structured discovery processes and write precise requirements so that, together with Engineering & QA, we can ship quickly and with high quality.
Actively integrate AI into your daily work to operate at a higher level, e.g. using structured prompts for rapid prototyping, automated pipelines for user feedback, or data-driven specifications.
Communicate priorities clearly to leadership and customers and measure the success of your features based on data, always keeping the user's voice in mind.
Design seamless collaboration throughout the claims process for all stakeholders, from status communication and task management to dynamic document templates.
7+ years of product management experience
in a B2B SaaS, InsurTech, or FinTech environment; experience with claims processes or insurance core systems is a strong plus.
Strong operational drive and a clear focus on outcomes: you take real ownership from day one and drive initiatives through to successful implementation.
AI fluency:
You can clearly demonstrate how AI has made your work measurably faster or better in recent months (e.g. reusable prompts, AI-supported data analysis, automated workflows).
Solid knowledge of agile frameworks and requirements engineering, as well as confident use of common PM tools such as
Jira, Figma, and analytics platforms
.
Excellent analytical skills and
business-fluent German and English (C1)
, enabling you to confidently bridge the gap between technology and business.
Location: Λευκωσία, Nicosia, Cyprus
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About the Role
Over the past few years, we have rebuilt our infrastructure almost from scratch. And now we are expanding the infrastructure team.
As a part of the team, you will work to minimize the number of incidents (availability, performance, security), speed up time-to-delivery of new features to customers, building flexible, high availability, and protected infrastructure to ensure every customer’s journey or request runs smoothly.
Responsibilities
Work with alerts and incidents that arise in the system
Assist development teams with emerging issues
Automate work and write documentation
Participate in the creation of application pipelines
Participate in the migration of infrastructure and application services
Develop, maintain and ensure system resilience
Develop dynamic environments
Requirements
Tech stack:
AWS, Kubernetes, MongoDB, PostgreSQL, RabbitMQ, Redis, Ansible, Terraform, Grafana, Prometheus, Sentry, Loki, Jenkins, Github Actions.
Proven experience with cloud-based solutions (AWS/GCP)
Knowledge of Linux troubleshooting, including networking and file systems
Experience in infrastructure automation using Ansible, Terraform, Bash, Python, etc.
Experience with containers and platforms such as Docker, Kubernetes, etc.
Experience with administration RabbitMQ/Kafka
Experience with administration of SQL/NoSQL databases
Good writing and verbal communication skills to ensure efficient communication within and outside the team and to explain your decisions
Ability to focus on what matters most, manage your time, and get things done
To be a team player, ready to help engineers investigate issues or teach them new things
Love to automate manual work and try new modern technology/approaches
What we Offer
Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
Competitive salary
Employee stock options plan
Private medical and dental insurance
Daily lunch allowance
Latest-generation MacBook Pro and 4k display
Professional development stipend
Relocation support, including visa sponsorship and allowance
All of your personal information will be collected stored and processed in accordance with
Wheely’s Candidate Privacy Notice
Location: Singapore
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!
We are looking for a Enterprise Account Executive to join our dynamic team of creatives, engineers, marketers, and brilliant business folks. You aren’t the typical salesperson, and we aren’t the typical design tool company.
At Figma, we think outside the box, lift constraints that block our imagination everyday, and we expect you to do the same. With this role you’ll get in at the ground floor in a fast growing sales org. You’ll consult with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line.
This is a full time role that will be held from our Singapore hub.
What you'll do at Figma:
Develop executive-level relationships across our most strategic customers
Build a strong sales pipeline and exceed annual sales targets
Navigate complex sales processes through applying Command of the Message and MEDDIC
Create compelling and sophisticated business cases to effectively influence senior stakeholders and showcase the value of new products
Work closely with cross functional teams to ensure sales effectiveness
Establish and maintain relationships with key stakeholders within Strategic accounts
Be part of a team dedicated to promoting Figma to existing and new customers
Help build the foundation and processes for all customer-facing teams at Figma
We’d love to hear from you if you have:
8+ years of sales experience in a SaaS business, ideally focused on Enterprise
Experience in selling to technical audiences
Ability to close complex sales cycles and multi-thread across multiple departments
Ability to prioritize competing demands from customers and balance their needs against those of the business
Problem solving skills, a great attitude, and a resilient mindset
While it’s not required, it’s an added plus if you also have:
Experience with UX/UI design principles
Experience selling collaboration tools
Proficiency with sales and marketing automation tools
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.
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.
Location: Riyadh, Saudi Arabia
As a Linux Engineer specializing in Red Hat Satellite at Müller's Solutions, you will play a crucial role in the management and maintenance of our Linux environments, focusing primarily on Red Hat Enterprise Linux systems. Your expertise will help optimize system performance, ensure seamless updates, and enhance overall efficiency through automation and effective management of configurations. You will work closely with development and operations teams to implement best practices and drive innovations in our infrastructure, ensuring security, scalability, and high availability.
Key Responsibilities:
Deploy, manage, and maintain Red Hat Satellite instances for systems provisioning, configuration management, patching and monitoring.
Automate repetitive tasks using scripting languages such as Bash or Python to enhance operational efficiency.
Monitor system performance, perform routine upgrades, and troubleshoot issues related to RHEL systems.
Implement and enforce best practices for security and compliance within Linux environments.
Collaborate with cross-functional teams to identify opportunities for process improvements and automation.
Document system configurations, procedures, and changes for future reference.
Provide technical support and troubleshooting for Linux servers and related applications.
Assist in the planning and execution of system upgrades, migrations, and new deployments.
Requirements
Requirements:
Degree:
Bachelor's degree in Computer Science, Information Technology, or a related discipline.
Experience:
4-6 years of experience in Linux System Administration, specifically with Red Hat Enterprise Linux.
Technical Skills:
Proficiency in Red Hat Satellite for systems management, configuration, and automation. Strong knowledge of RHEL (versions 7, 8) including installation, configuration, and maintenance. Experience with scripting (Bash, Python) for automation purposes.
Additional Skills:
Familiarity with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure). Knowledge of configuration management tools (e.g., Ansible, Puppet) is a plus.
Analytical Skills:
Strong problem-solving skills and the ability to troubleshoot complex issues in a timely manner.
Collaboration Skills:
Excellent communication skills for working with technical teams and presenting findings to stakeholders.
Preferred Qualifications:
Certifications such as Red Hat Certified Engineer (RHCE) or Red Hat Certified Specialist in Satellite Management are highly regarded.
Experience with ITIL processes and methodologies.
Familiarity with database management and monitoring tools.
Ability to work in a fast-paced, team-oriented environment.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Salt Lake City, Utah
Workplace: onsite
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
The Account Executive role will be a quota-carrying, territory-based individual contributor sales role, working with prospects who are evaluating case management software. Strong ability to work an end-to-end pipeline, guide prospective clients through their evaluation process, and close as much business as possible.
Responsibilities:
Sell Filevine to clients seeking case management solutions, particularly in the legal vertical.
Demonstrate ability to earn business by conveying the value props of Filevine
Share new insight that helps prospects properly evaluate different solutions
Prepare and tailor messaging for prospective clients
Help guide prospective clients through the purchasing process to meet agreed-upon timelines.
Accurately forecast your quarterly and annual performance
Be proficient in using a CRM to manage your pipeline.
Be willing to learn our sales process, and use it to manage your business, and increase your effectiveness as a rep
Develop sales strategies to increase client pipeline
Consistently meet/exceed sales quotas within a specified time frame
Partner with SDRs to effectively build a territory and identify qualified opportunities
Report on activity and performance metrics
Provide quarterly forecasts to senior sales management for various
Qualifications:
2-3+ years experience in Mid Market software sales
Consistent, demonstrable record of achieving quota
Desire to join an upstart company, working hard and doing great things
Strong track record of managing daily, weekly, monthly and quarterly objectives
Experience in lead qualification, advanced outbound prospecting, managing a pipeline, sales processes, and overcoming objections
Solid written and verbal communication, organizational and time management skills
Excellent presentation and listening skills
Proficiency in
Salesforce.com
or similar CRM
In office position
Compensation Information: OTE $217,000 with a 40/60 split with uncapped commissions and tiered accelerators.
The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com
ОфисNew York, NY
Berlin, Germany
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.
УдалённоBeograd, Serbia; Fully remote work (core hours GMT+3)
ОфисSingapore
South Africa
УдалённоUnited States & Canada; Based in PST/PDT timezone; Benefits and Perks (US Only) 💖
ГибридSan Francisco; New York City; Benefits and Perks (US Only) 💖
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
УдалённоseniorUkraine
London, England, United Kingdom; Relocation support, including visa sponsorship and allowance
Λευκωσία, Nicosia, Cyprus; Relocation support, including visa sponsorship and allowance
Singapore
Riyadh, Saudi Arabia
ОфисmiddleСША; Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite