Location: Tbilisi, Georgia; Astana, Kazakhstan; Belgrade, Serbia; Yerevan, Armenia; Almaty, Kazakhstan; Warsaw, Poland
Join COLIBRIX ONE – Innovating the Future of Payments
At
COLIBRIX ONE*
, we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include:
Global card processing
Digital wallet infrastructure
Cross-border merchant accounts
Alternative payment methods (APMs)
Corporate accounts for legal entities
We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech.
At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you.
About The role:
We’re looking for a technically skilled
Technical Support Specialist
to join our growing L2 support team. This role is ideal for someone with a solid background in Linux administration, system monitoring, and hands-on troubleshooting. The ideal candidate is passionate about system reliability, enjoys automating routine tasks, and is comfortable working in a shift-based schedule. Experience in IT operations, FinTech, or payments infrastructure is a strong advantage.
Responsibilities:
Provide timely
technical support
to internal teams and partners regarding system monitoring and service stability
Maintain and use tools like
Prometheus
,
Grafana
,
Loki
, and
Alertmanager
Log, analyze, and categorize
incidents
in
Jira Service Management
, and escalate issues when needed
Develop and maintain small automation tools (e.g., Python scripts,
Telegram/Slack/Jira bots
)
Administer
Linux servers
: logs, access control, services, cronjobs
Document recurring issues and solutions in
Confluence
Work with
REST APIs
to integrate with third-party systems
Participate in a
24/7 shift rotation
, including nights and weekends
Requirements:
1+ years of experience in technical support
Strong command of the
Linux CLI
, logs, services, file permissions, and networking
Experience working with monitoring and alerting systems
Understanding of
incident and problem management
(ITIL or Jira workflows)
Basic skills in
Python scripting
Experience with
Telegram, Slack, or Jira bots
is a strong plus
Understanding of
REST APIs
Excellent written and verbal communication skills in English and Russian
Willingness to work in a
shift-based environment
(including on-call)
Attention to detail, excellent communication skills and ability to explain complex technical concepts in simple terms
Nice to Have:
Experience in
FinTech, acquiring, or payment systems
Familiarity with Docker, CI/CD, or centralized logging systems (e.g., ELK, Jaeger)
Hands-on contributions to automation or monitoring in production environments
What we offer:
Opportunity to shape the future of fintech solutions within a growing company
Collaborative, horizontal team structure that values your expertise and ideas
Continuous learning and development opportunities to enhance your skills and career growth
Competitive salary and benefits package
Flexible work arrangements to support work-life balance
* Please note that this position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.
Location: Stockholm
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity.
WHAT YOU’LL WORK ON:
- Improve the developer and agent experience of our SDK and CLI
- Develop new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation
YOU MAY BE A FIT IF:
- You have 5+ years of experience developing high-quality Python, JavaScript, or Go applications or libraries where the code is used or interacted with by other developers
- You have a strong code-as-product sense that manifests as a focus on developer ergonomics and productivity
- You understand async programming, concurrency management, and their pitfalls
- You have a high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems
- You’re able to participate in our on-call rotation and respond to production incidents
- You’re able to work in person in our Stockholm office
NICE-TO-HAVE:
- Experience building developer tools or SDKs
- Experience maintaining open-source software
- Good understanding of agentic development workflows
- Familiarity with modern data, ML, and AI tools and workflows
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:
As a Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts.
This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with sales leaders and work as one team to support your customers.
Responsibilities:
Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution
Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development
Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team
Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives
Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem
Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering
Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities
Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content
Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier
You may be a good fit if you:
Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams
Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work
Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey
Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title
Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system
Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks
Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly
Have a genuine passion for making powerful technology safe and societally beneficial
Strong candidates may have:
Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating
A track record of winning competitive technical evaluations against other LLM providers
Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment
Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly
A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions
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:
$315,000
—
$380,000 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.
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: Remote - Canada
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 Twilio as a Program Manager, Carrier Operations & Governance — a tech-forward business analyst and program manager within a brand-new function built from the ground up to reshape how Twilio manages, governs, and optimizes its global telecom carrier and wholesale supplier ecosystem.
About the job
This isn't a role that inherits an existing playbook — it's a role that writes one. Twilio is building a highly visible, cross-functional operations & governance team dedicated to optimizing its telecom carrier and wholesale supplier ecosystem. Reporting into leadership that maintains regular cadences with Twilio's CEO, CFO, CRO, and Audit Committee, you will serve as the primary owner of critical end-to-end improvements spanning multiple areas of the business, and build internal operating models that unlock new levels of operational maturity and rigor.
In this role, you will bring together, understand, and implement the policies, processes, systems, tools, and controls necessary to build a world-class operating environment. You will own the creation and stand-up of the team operating model, cadences, and runbooks while taking direct ownership of the team's internal Run-the-Business (RTB) engine.
If you thrive in high-visibility environments, love designing systems from first principles, and want to own program execution end-to-end, this opportunity is built for you.
Responsibilities
In this role, you will lead program execution across four core pillars:
Cross-Functional Governance & Leadership
Drive Visible Governance Programs:
Serve as the core Program Manager for a highly visible, cross-functional governance initiative spanning multiple areas of the business - including building and operationalizing programs from diagnosis, design, implementation, and change management
Maintain Executive Visibility:
Package and present operational narratives, risks, and performance metrics to cross-functional leadership, feeding into C-suite and Audit Committee reviews.
Implement Core Infrastructure:
Lead end-to-end process improvements across carrier operations — understanding, synthesizing, and deploying cohesive policies, workflows, systems/tools, and data-driven controls.
Operating Model, Enablement & Team Infrastructure
Build Team Foundations:
Design and stand up the new Carrier Operations & Governance operating model, operational cadences, and internal team structures.
Author Runbooks & Standards:
Author, maintain, and roll out standard operational runbooks, supply policies, and Rules of Engagement (ROEs) for internal stakeholders and carrier partners.
Design Enablement & Change Management:
Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model.
Insights & Reporting
Business Intelligence:
Leverage quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound insights.
Data & Reporting Quality:
Execute analytical requests from IRSG, Legal, Finance, and GTM stakeholders, delivering accurate data pulls, ad-hoc analyses, and structured summaries. Perform data quality checks and validation to ensure accuracy and consistency across reporting pipelines.
Design Enablement & Change Management:
Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model.
Drive Team RTB Engine:
Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability.
Facilitate Operational Rhythms:
Facilitate regular operational forums, including team OKR tracking, and deal approval workflows.
Run-the-Business (RTB) Ownership
Drive Team RTB Engine:
Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability.
Facilitate Operational Rhythms:
Facilitate regular operational forums, including team OKR tracking, and deal approval workflows.
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:
5+ years of experience in management consulting or as a Program Manager or Chief of Staff in telecom, RevOps, or strategy and operations.
Proven track record leading highly visible, cross-functional programs across business, technical, legal, and financial stakeholders.
Demonstrated expertise driving end-to-end process improvements by integrating policies, business processes, IT/systems tools, and operational controls.
Direct experience standing up operating models, team cadences, and operational documentation (runbooks, frameworks, ROEs).
Proven track record in designing enablement content and driving organizational change.
Experience driving Run-the-Business (RTB) cadences, OKR tracking, and operational reporting.
Strong capability in process mapping, business case writing, and translating complex operational needs into IT system specs.
Sharp written and verbal communication skills with experience presenting to executive leadership.
Strong analytical proficiency using data tools (Excel/Google Sheets, SQL, or Looker) to measure performance and policy compliance.
Team player who thrives in a fast-paced environment.
Desired:
Background in management consulting, high-growth tech, or global telecom environments.
Six Sigma or formal Program / Process Management / Prosci Change Management certification.
Operational experience within commercial Deal Desks, supplier QBR management, or revenue assurance.
Domain knowledge of A2P SMS, international voice/messaging, carrier billing, or AIT/IRSF fraud frameworks.
Familiarity with workflow and dashboarding tools (Airtable, Jira, Confluence) and operational automation (Python, Coefficient, AI tooling).
Location
This role will be remote and based in Ontario, British Columbia or Alberta, Canada.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
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. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.
The estimated pay ranges for this role are as follows:
$
90,800.00
- $
113,500.00
Target Bonus Percentage 12.5%
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 November 1, 2026 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: San Francisco, CA
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Team
Localization is where the map meets the moment. Our localization team builds the living geospatial world model and the centimeter-level Visual Positioning System (VPS) that lets people and robots know exactly where they are, from any camera, almost anywhere on Earth.
That system is learned, not hand-built. Our localization stack has moved from classical geometry to visual models trained on billions of posed images — models that have to be accurate to the centimeter, robust to lighting and seasons and clutter, and fast enough to run in production for every query. This team sits at the junction of research and production: we take what works in a paper, make it work on our data, and make it work for customers.
About the Role
We're hiring an AI Engineer, Computer Vision, to contribute to the deep learning models at the heart of our localization system. Working alongside experienced researchers and engineers, you'll help train and iterate on the visual models — feature extractors, matchers, pose regressors, and retrieval models — that turn a single image into a precise position in the world.
This is a full-loop environment. You'll get exposure to the entire pipeline: the data the model learns on, training, evaluation, and the service that runs it in production. You'll be surrounded by people who care deeply about correctness — where a loss curve going down is not the same as a system getting better — and you'll grow into that rigor quickly.
What You'll Do
- Train and Evaluate Models — Implement, train, and evaluate visual localization models in PyTorch: local feature extraction and matching, image retrieval, pose regression, and scene-coordinate regression. Iterate on architectures, loss functions, and training loops to improve accuracy on real production captures.
- Build Data Pipelines — Contribute to high-throughput ingestion and preprocessing pipelines that turn raw imagery, poses, and 3D point clouds into training-ready datasets, including curation, sampling, and augmentation.
- Run Experiments at Scale — Run training jobs across GPU environments on our 30-billion-image corpus, working with senior engineers and ML Infrastructure to keep experiments reproducible and results interpretable.
- Extend the Benchmark — Help build and maintain the evaluation suite for localization — pose accuracy, recall across lighting and season changes, and latency under production load — so results are comparable across model versions.
- Support Production Deployment — Work with senior engineers to take models from checkpoint toward serving: export, inference optimization, and monitoring once live. Learn what it means to own a model end-to-end, not just hand off a checkpoint.
- Bridge Research and Product — Work with the Research team and Real-World Test Lab to understand how field failures translate into training data and benchmark improvements.
What You'll Bring
- Experience training deep learning models for computer vision tasks in PyTorch — through coursework, research, internships, or early industry work.
- Foundational understanding of at least one of: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, and the 3D geometry underneath them (camera models, epipolar geometry, pose parameterizations).
- Comfort working with large image or 3D datasets — preprocessing, curation, and understanding how data quality affects model behavior.
- Familiarity with GPU-based training and the ability to read and reason about training runs — identifying whether a bottleneck is in data loading, compute, or model architecture.
- Strong Python skills and a habit of writing code that others can rerun and build on.
- A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience.
Nice to Have
- Published or contributed to work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models (CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent).
- Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks.
- Exposure to inference optimization for edge or mobile hardware (TensorRT, ONNX, CoreML, or similar).
- Experience with petabyte-scale spatial data: point clouds, meshes, posed image collections, or geospatial indexing.
- Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems.
- Prior industry or research internship experience shipping or contributing to a production CV system.
Compensation & Benefits
The expected salary range for this role is $165,600 - $221,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
Location & Work Model
This role is based in our San Francisco, CA office on a hybrid schedule with a minimum of 3 days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As the Solutions Consultant, Enterprise Team Manager at Ramp, you will lead and develop a high-performing team of Solutions Consultants supporting Enterprise prospects. You will set the operating rhythm for complex pre-sales work, coach the team on discovery, solution design, demos, technical deal strategy, and partner closely with Sales, Product, Engineering, Customer Success, Account Management to deliver a cohesive customer experience.
You will remain close to high-impact opportunities while scaling the team’s technical ownership financial fluency, and executive presence. This is a player-coach leadership role: you will improve how the team qualifies and advances complex opportunities, create repeatable practices and assets, and use customer insight to shape Ramp’s go-to-market and product priorities.
WHAT YOU'LL DO
- Lead, coach, and develop a team of Enterprise Solutions Consultants; set clear expectations, provide regular feedback, and support career growth.
- Establish a high-quality operating cadence for pipeline reviews, deal strategy, forecasting, staffing, and performance management.
- Partner with Enterprise Sales leadership to shape account strategy, qualify complex opportunities, and deploy the right solutions resources at the right moments.
- Coach the team to lead discovery, deliver tailored demos, and architect solutions that connect Ramp’s platform, financial workflows, ERP systems, and integrations to customer priorities.
- Engage directly in the most strategic or complex customer situations, including executive conversations, technical validation, RFPs, and escalations.
- Build scalable playbooks, technical assets, demo standards, and knowledge-sharing practices that improve quality and consistency across the team.
- Partner with Product, Engineering, Product Marketing, Customer Success, and Services to translate recurring customer needs into actionable feedback, roadmap context, and strong handoffs.
- Define and inspect team health metrics such as coverage, conversion, cycle efficiency, solution quality, customer outcomes, and talent development.
- Foster an inclusive, high-accountability culture grounded in customer empathy, strong collaboration, speed, and continuous improvement.
- Identify practical ways for the team to use AI to improve preparation, documentation, solutioning, and customer-facing work while maintaining quality and good judgment.
WHAT YOU NEED
- 8+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, Professional Services, or a related customer-facing technical role, including 3+ years of people management or demonstrated player-coach leadership.
- Proven success leading teams through complex enterprise sales cycles involving multiple stakeholders, technical requirements, and long decision processes.
- Strong understanding of enterprise financial operations, controllership priorities, and accounting workflows.
- Working fluency with enterprise systems and integrations, including ERP platforms such as NetSuite, Sage Intacct, or Microsoft Dynamics; APIs; SFTP; and adjacent HRIS, identity, and security systems.
- Demonstrated ability to coach others on discovery, solution design, executive storytelling, technical communication, and consultative selling.
- Strong operating judgment: able to prioritize limited resources, inspect pipeline health, make trade-offs, and drive execution in a fast-moving environment.
- Executive presence and ability to influence senior internal and external stakeholders by translating technical complexity into business value.
- Track record of building repeatable processes, assets, and team rituals that elevate performance beyond individual contributions.
- Experience building AI-assisted workflows for solutions, sales, or customer-facing teams.
- Excellent communication, organizational, and change-management skills.
NICE TO HAVE
- Experience supporting fintech, spend management, accounting automation, or other financial software products.
- Familiarity with government or public-sector selling.
- Familiarity with Python, Java, or SQL; data integration and ETL platforms; cloud infrastructure; or enterprise authentication and security protocols.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role:
We are looking for an IT Systems Engineer to build and secure the identity and access management (IAM) and mobile device management (MDM) systems for employees who build agents and internal tools every day. You will design access and device policies that let them ship quickly without exposing company data, and automate the work with scripts, API integrations, and AI tooling alongside our IT and Security engineers. This is a hybrid role based in San Francisco, New York City, or Austin, with three days a week in the office.
What you’ll do:
Configure Okta, including application integrations, single sign-on (SSO), multi-factor authentication (MFA), groups, access policies, and automated provisioning
Build onboarding, role-change, and offboarding automation that keeps employee access current
Configure and maintain MDM for device enrollment, software deployment, patching, encryption, and compliance controls
Build scripts, API integrations, and automation across Okta, MDM, Google Workspace, Slack, and IT service management systems, using AI to write and troubleshoot code and reviewing its output before it ships
Partner with Security on least-privilege access that lets employees connect agents and internal tools to company systems safely, along with device security standards and access reviews, and serve as the escalation point for complex identity and device issues
What you need:
7+ years of hands-on IT systems engineering experience, with deep expertise in either IAM or MDM and working knowledge of the other
Administered Okta and integrated applications using Security Assertion Markup Language (SAML), OpenID Connect (OIDC), and System for Cross-domain Identity Management (SCIM)
Configured and operated an MDM platform such as Jamf, Kandji/Iru, or Intune
Wrote automation in Python or Bash against APIs, and used AI to build and troubleshoot it, reviewing generated code before deploying
Bonus if you:
Managed Okta or other IT systems as code with Terraform, including version-controlled configurations, code review, and configuration drift management
Supported AWS identity and access configurations
Built or hosted a project on Vercel
Benefits:
Competitive salary and meaningful equity
Comprehensive health, dental, and vision coverage
Generous paid time off and parental leave
Professional development stipend
Daily lunch and commuter benefits (SF office)
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $180,000.00 - $288,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $185,000–$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Norwalk, Connecticut, United States
Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies.
The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
Description
Graham is seeking an early-career developer to join our Quantitative Trading and Research Operations team, which sits within our broader Quantitative Strategies department. The successful candidate will support the Quantitative Strategies department by developing, maintaining, and refactoring code used in research and trading, with a particular focus on improving the reliability and maintainability of existing programs. This individual will work closely with researchers and follow established development and code review processes, including regular interaction with the firm’s Quality Assurance Committee. The ideal candidate enjoys hands-on development, troubleshooting, and improving existing systems within an evolving production environment.
Responsibilities
Partner with the Quantitative Strategies department to develop, maintain, and improve code supporting research and trading activities
Review, refactor, and update legacy programs to meet established coding standards and improve reliability, maintainability, and computational performance
Provide ongoing maintenance and support for both existing systems and newly developed tools
Develop and maintain test cases to validate code changes and help prevent errors and system failures
Follow established development and code review processes, working regularly with the Quality Assurance Committee and incorporating feedback from senior leaders across Technology and Data
Analyze system financial and computational performance and execute trades
Support engineering initiatives related to trading system implementation, computational resource utilization, build and deployment processes, containerization, and evaluation of cloud computing
Requirements
Bachelor's degree in computer science or a related field
Strong Python skills
Strong program design fundamentals and refactoring experience
Knowledge of CI/CD process
Comfortable working in the command line on Unix
Comfortable using version control, such as Git
General familiarity with PowerShell
Familiarity with SQL and other enterprise database structures
Excellent interpersonal and communication skills
Coursework in cybersecurity is a plus
Familiarity with cloud compute and general infrastructure design is a plus
Knowledge of R and MATLAB and familiarity with writing test cases is a plus
Ability to work independently and collaboratively in a dynamic, fast-paced environment
This role requires commuting into our Rowayton, CT office Mondays through Fridays.
Base Salary Range
The anticipated salary range for this position is $90,000 to $125,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications. This wage range may be modified in the future.
In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.
Notes:
No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.
Other
Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan. All employees also receive paid vacation and sick leave. Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods. Benefits are subject to change and may differ for non-U.S. roles.
pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
SOFTWARE DEVELOPMENT ENGINEER in TEST
Contract role, 12 months
Hybrid status
Open in San Mateo and San Diego
We are looking for a Software Development Engineer in Test to join our System Integration Team at Sony Interactive Entertainment. In this role, you will support quality engineering for customer-facing applications in a fast-paced, dynamic environment, helping ensure that new and existing features meet a high bar for reliability, usability, and overall player experience.
Responsibilities
Review product requirements and design documents to create effective testing strategies
Build concrete test plans, write test cases and execute them to ensure quality of features
Implement and maintain test automation scripts to increase test coverage and stability
Develop, maintain and improve test automation framework
Report, track and verify defects as well as monitor Automation jobs
Provide status reports to Leadership and other key partners
Work with the infrastructure team to maintain common services such as CI test pipelines
Required Qualifications
Bachelor’s degree in Computer Science or related field, or ability to demonstrate equivalent knowledge
3+ years experience in UI automation for web or native applications
Validated experience in Software testing life cycle
Experience with version control solutions (both centralized and distributed)
Experience maintaining CI systems (Jenkins preferred)
Experience with Selenium or Appium
Experience in one or more Programming/Scripting Languages, preferably Python.
Preferred Qualifications
Experience with at least one modern web application framework such as Angular/Ember.js/React
Experience developing or testing a non-PC device (phone/game console/set-top box, etc.)
Experience with Agile methodologies
Significant experience with Python
Experience with Node.js, React Native
Experience developing or writing test code for a game console
About You
You have a strong drive and passion for quality and can help inspire, motivate, and influence team members toward better engineering outcomes.
You communicate clearly and professionally with partners at all levels, including technical teams, product stakeholders, and project leads.
You are effective at working with geographically distributed and culturally diverse teams.
You are curious, proactive, and willing to go beyond immediate assignments to deeply understand the systems you support.
You are comfortable asking questions, identifying risks early, and helping the team make informed quality and release decisions.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: United Kingdom; Dublin; United States; New York; Sofia; Germany; Portugal; Poland; Madrid; Boston; Amsterdam; Bulgaria
Workplace: Remote
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 are looking for back-end engineers to expand the functionality of our system. There is flexibility in staffing engineers on projects across the company, depending on the project, your specific responsibilities might include:
- Building and maintaining our platform on top of our cutting-edge voice models, which are used by millions of users.
- Improving our existing products to ensure that they’re intuitive, powerful and make innovative use of our research team’s latest break-throughs. This could involve adding significant functionality, or building integrations with other common consumer/enterprise solutions.
- Maintaining and strengthening our internal infrastructure as we scale and grow to ensure that our products remain live, performant and secure.
- Collaborating closely with engineers and others from the Frontend, Growth and Sales teams to understand, and design solutions for our customers.
REQUIREMENTS
We do not require any formal experience, certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, or GitHub contributions. We do require:
- Expertise in Python.
- A strong background in backend development.
- Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc.
- Knowledge about test design and security fundamentals.
- Bonus:
- Experience with Kubernetes.
- Experience with Stripe or other payment processing providers.
- Basics about how AI models work.
LOCATION
This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.
#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.
Задачи:
— проведение функционального, регрессионного и интеграционного тестирования веб-версии, а также мобильных приложений на iOS и Android
— составление и поддержка тестовой документации и тестирование AI-сервисов
— участие в подготовке релизов и обеспечение стабильности продукта
— проверка автопротокола: распознавание договорённостей, автоматизация задач и назначение ответственных
— тестирование API (REST, WebSocket) для корректного обмена данными между фронтендом и бэкендом
— участие в приемо-сдаточных испытаниях и подготовке демо для заказчиков.
Требования:
— опыт функционального и регрессионного тестирования веб-приложений от 3 лет
— опыт автоматизации тестирования на Python от 2 лет
— навыки работы с DevTools, Postman (или аналогами) для тестирования API
— знание SQL для проверки данных в БД и первичной диагностики
— знание Python (core, Pytest, Selenium, Selenoid, requests, allure)
— опыт применения CI/CD (Jenkins, GitLab CI/CD) для запуска тестов
— будет плюсом опыт создания AI-агентов и использования их в работе
— опыт анализа логов (Openshift, Kubernetes, Elastic)
— опыт тестирования сложных аналитических систем (дашборды, прогнозные модели)
— опыт тестирования и автоматизации тестирования мобильных приложений на iOS и Android (Python + Appium)
— опыт или интерес к тестированию AI-систем.
Условия:
— гибридный формат работы из офиса в г. Москва
— годовой бонус и ежегодный пересмотр
— расширенный ДМС с первого дня + стоматология и льготное страхование для семьи
— корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях
— офис на Ленинском проспекте с зонами отдыха и спортзалом
— льготная ипотека в Сбере, корпоративная пенсионная программа
— подписка СберПрайм с возможностью совместного использования на трёх близких
— скидки от партнеров и сервисов группы компаний.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams and customers
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Build and run tailored demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
WHAT YOU’LL BRING
- 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
- Strong Python, JavaScript and systems fundamentals
- Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
- Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about shipping AI agents in production
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $160,000-185,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for an experienced
Product Manager to develop and maintain our core API trading products. This includes managing internal and external stakeholders, developing product iteration plans, establishing and maintaining standards, translating user stories into an API specification, completing competitor analysis, and more.
What You’ll Be Doing
Gather business requirements and API feedback from both internal and external sources, such as feedback from institutional customers, and continuously improve the API product through effective iterative mechanisms.
Study the competitive landscape and industry trends, transforming this information into actionable API product iteration plans that align with the company's actual needs.
Utilize data analytics to create data-driven insights to understand client behaviour.
Cultivate and maintain robust relationships with customers and strategic partners, using their feedback to guide product enhancements and future development.
What We Look For In You
Demonstrates a strong interest in both the blockchain and finance industries.
Minimum
5
years of experience in Product Management or Engineering, preferably related to trading or technology platforms.
Bachelor's or Master's degree in Engineering, Mathematics, or Finance.
Proactive and self-driven, with a logical and data-driven mindset, strong team collaboration skills, and effective communication abilities.
Proficiency in English & Conversational Mandarin (preferred to cross functionally communicate with non-english speaking engineers).
Nice-To-Haves
Experience in crypto, blockchain, building businesses, fintech, and/or financial markets.
Experience in trading financial products, such as stocks, funds, forex, futures, options.
Knowledge in data analytical tools like Python and SQL.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for an experienced
Product Manager to develop and maintain our core API trading products. This includes managing internal and external stakeholders, developing product iteration plans, establishing and maintaining standards, translating user stories into an API specification, completing competitor analysis, and more.
What You’ll Be Doing
Gather business requirements and API feedback from both internal and external sources, such as feedback from institutional customers, and continuously improve the API product through effective iterative mechanisms.
Study the competitive landscape and industry trends, transforming this information into actionable API product iteration plans that align with the company's actual needs.
Utilize data analytics to create data-driven insights to understand client behaviour.
Cultivate and maintain robust relationships with customers and strategic partners, using their feedback to guide product enhancements and future development.
What We Look For In You
Demonstrates a strong interest in both the blockchain and finance industries.
Minimum
5
years of experience in Product Management or Engineering, preferably related to trading or technology platforms.
Bachelor's or Master's degree in Engineering, Mathematics, or Finance.
Proactive and self-driven, with a logical and data-driven mindset, strong team collaboration skills, and effective communication abilities.
Proficiency in English & Conversational Mandarin (preferred to cross functionally communicate with non-english speaking engineers).
Nice-To-Haves
Experience in crypto, blockchain, building businesses, fintech, and/or financial markets.
Experience in trading financial products, such as stocks, funds, forex, futures, options.
Knowledge in data analytical tools like Python and SQL.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Требования:
— Коммерческий опыт работы DevOps Engineer — от 4 лет;
— Сильные знания Linux и системного администрирования;
— Опыт эксплуатации production-систем и решения инфраструктурных проблем;
— Практический опыт сопровождения Go-сервисов в production (deployment, мониторинг, troubleshooting);
— Разработка на Go не требуется;
— Коммерческий опыт работы с blockchain-инфраструктурой, желательно с blockchain nodes;
— Опыт работы с Docker, Kubernetes, CI/CD и Infrastructure as Code;
— Знание сетевых протоколов TCP/IP, DNS, HTTP/HTTPS, TLS;
— Опыт настройки мониторинга и логирования (Grafana, Kibana);
— Навыки Bash или Python.
Будет плюсом: PostgreSQL, Redis, NATS, Vault, KMS/HSM, Helm, Terraform, Ansible, fintech.
Задачи:
— Поддержка production-, staging- и development-инфраструктуры;
— Администрирование Kubernetes-кластеров и контейнеризированных приложений;
— Развитие CI/CD и Infrastructure as Code;
— Настройка мониторинга, логирования и алертинга;
— Сопровождение Go-сервисов и blockchain-инфраструктуры;
— Расследование production-инцидентов и устранение неисправностей;
— Обеспечение отказоустойчивости, backup/restore и безопасности;
— Документирование изменений и эксплуатационных процедур.
Условия:
— Гибридный формат работы в Минске;
— Полная занятость;
— Оформление напрямую в штат;
— Долгосрочный проект.
