Location: London, UK; Remote (UK)
Workplace: Remote
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
Ramp is scaling fast in the UK. Our European operations team (Europs) onboards UK and EU businesses across Ramp’s own regulated entities and our card-issuing and payments partners. We’re a small team of specialists that runs on frontier AI tooling. Everyone builds and maintains their own automations and apps, and we’ve taken daily processes from hours to minutes. We’re hiring a senior UK KYB expert to raise the bar on how we onboard UK businesses. You’ll work the hardest cases and make the final first-line call, own escalations with our partners, keep the UK queue moving, and build the fixes that stop the same problems coming back. This is a hands-on role for someone who would rather redesign a broken requirement than work around it, and who is as comfortable in a difficult ownership structure as in the data on why cases get stuck.
WHAT YOU'LL DO
- Work the hardest UK onboarding cases yourself and make the final first-line (1LoD) call: complex ownership structures, EDD, PEP and adverse-media outcomes, and anything that needs judgement rather than a checklist
- Keep the UK queue moving: spot what’s stuck, decide what matters most, and pick up cases yourself through leave and spikes in volume
- Be the senior expert the UK team leans on: share your reasoning on hard cases, raise the bar on decisions, and help everyone get better at building as well as reviewing
- Own escalations with our card-issuing and payments partners, including recurring failures, disputed or unnecessary requirements, and turning each fix into a repeatable playbook
- Set the standard for customer-facing onboarding communications: clear requests, fast follow-ups, no avoidable back-and-forth
- Build fixes, not workarounds: automate your own work with AI, and work with Product and Engineering to remove requirements customers shouldn’t have to meet twice
- Define and track operational metrics (caseload by provider, time to close, handling time) and use them to decide what to fix next
- Write consistent, evidenced 1LoD decision standards that hold up to partner sample reviews and second-line scrutiny
WHAT YOU NEED
- 5+ years in KYB / onboarding / financial-crime operations at a UK fintech, EMI, PI or bank
- Practical working knowledge of the UK regulatory framework for EMIs/PIs: MLRs 2017, JMLSG guidance, and FCA expectations for customer due diligence
- Strong judgement on complex business customers: multi-layer ownership, overseas parents, trusts, PEPs, and knowing when to escalate
- Clear written communication, both with customers and in documented case decisions
- Demonstrated use of AI tools in your day-to-day work to go faster or do better work, with concrete examples
- A bias to fix the process rather than just work the queue
NICE-TO-HAVES
- Line management of operators or analysts (strongly preferred)
- Experience working with card-issuing, BaaS or payments partners on onboarding (e.g. partner due-diligence requests, sample reviews)
- Safeguarding / client-money reconciliation experience
- Writing requirements for Product and Engineering teams
- EU onboarding experience or a second European language
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
УдалённоleadLondon, UK; Remote (UK); Relocation expense coverage to NYC or SF (if needed)
Location: London, United Kingdom
About the company
Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.”
Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications.
We have raised over $37M from top-tier investors including
Consensys, Tether, and Animoca Brands
About the role
Transak's Fiat/Payments team builds and operates the rails that move money between traditional banking systems and crypto — ACH, SEPA, Faster Payments, wires, virtual accounts, and card rails. As an SDE 3, you will own critical, high-throughput payment microservices end-to-end: design, build, scale, and operate systems that move real money for users across multiple currencies and jurisdictions, with US,UK/EU regulatory and global banking-partner requirements as a core part of the job.
This is a senior individual-contributor role calibrated against SDE 3 / Senior Engineer, driving architecture decisions, mentoring engineers, and being the go-to owner for a payments domain, while staying hands-on in code daily.
Key Responsibilities
Payment Systems Ownership & Architecture
Own payment microservices end-to-end — design, build, deploy, and operate Node.js services (orders, payment, reconciliation, virtual accounts, payout orchestration) handling real-time financial transactions at scale.
Design for correctness and failure: idempotent, retry-safe, reconciliable systems where every transaction is traceable, auditable, and recoverable (partial failures, webhook replays, duplicate detection, distributed state machines).
Architect for scale and resilience across a distributed microservices architecture; make service-boundary and build-vs-buy decisions; address root causes rather than symptoms.
Banking & Partner Integrations
Drive integrations with banking and payment partners (e.g. banking and card providers / risk providers) — API contracts, webhook handling, sandbox-to-production rollout, and reconciliation logic across multiple rails (ACH, SEPA, Faster Payments, wires).
Work with Risk, Compliance on KYC, AML, and fraud-control touchpoints in the payment flow.
Infrastructure, CI/CD & Operations
Build and maintain CI/CD pipelines (Jenkins) — automated testing, blue/green or canary deployments, and rollback strategies for services that cannot tolerate downtime or data loss.
Operate infrastructure on AWS (ECS/EKS, Lambda, SQS/SNS, RDS, CloudWatch); contribute to infra-as-code, monitoring, alerting, and on-call runbooks for payment-critical systems.
Optimize the data layer: schema design and query performance in MongoDB, caching and rate-limiting strategies with Redis, and safe migration patterns for high-volume transactional collections.
Participate in on-call for payment-critical services, including incident response and postmortems.
Technical Leadership & Collaboration
Lead technical roadmaps — break down large, ambiguous payments initiatives into shippable milestones; write design docs/RFCs; drive consensus across Engineering, Product, Risk, and Operations.
Mentor and raise the bar — review code and designs, coach mid-level engineers, and help hire and grow the team.
Uphold security and compliance best practices for handling PII/financial data in a regulated, PCI-DSS-adjacent environment.
What We're Looking For
6+ years
of professional software engineering experience, with a significant portion building backend/distributed systems; prior experience in
fintech, payments, on-and-offramp provider, or banking infrastructure strongly preferred
.
Strong hands-on expertise in
Node.js
(TypeScript preferred) for performant, production-grade backend services.
Deep experience with
MongoDB
— schema design, aggregation pipelines, indexing strategy, and performance tuning at scale.
Proficiency with
Redis
— caching, distributed locks, rate limiting, and pub/sub patterns.
Proven experience designing and operating
microservices architectures
, including inter-service communication (REST/gRPC/event-driven via SQS/Kafka,ELK,New relic, Mixpanel), service discovery, and API contract design.
Solid understanding of
CI/CD pipelines
, with hands-on experience using
Jenkins
(pipeline-as-code, multi-stage builds, automated test gates).
Working knowledge of
AWS infrastructure
— ECS/EKS/Lambda, VPC networking basics, IAM, S3, RDS, CloudWatch; infra-as-code (Terraform/CloudFormation) is a plus.
Strong grasp of distributed systems fundamentals: idempotency, eventual consistency, retries/backoff, circuit breaking, and failure isolation.
Track record of owning a service or domain end-to-end in production, including on-call responsibility.
Excellent written communication — comfortable authoring design docs/RFCs and explaining trade-offs to engineers and non-technical stakeholders (Risk, Ops, external partners).
Nice-To-Haves
Experience with payment rails (ACH, SEPA, Faster Payments, SWIFT/wires) or card processing.
Familiarity with banking partner integrations, webhook-driven reconciliation, or ledger/double-entry accounting systems.
Exposure to KYC/AML/fraud tooling.
Experience at a fintech/crypto-native company, payments processor, or Big Tech payments org.
Prior experience operating in a regulated environment (FCA, EMI/PI licensing context), given the UK/EU banking scope of this role.
Location: Houston, TX, United States
Position Summary
The Electronics Technician - ILI Systems & Equipment owns the full lifecycle of PIPECARE Western Hemisphere’s electronics assets - bench-level preparation, testing, calibration, repair, and reliability support across the region’s inspection technologies (Caliper, MFL, UTWM/UTCD, and EMAT), the tracking and locating equipment that supports every mobilization (AGM units, toolmounted transmitters, and pig locators) - together with management of the electronics store, tool inventory, consumables, and the component requisitioning that ties it all together.
Given the size of WH’s tool fleet and its annual tool-prep volume, this is designed and resourced as a single-incumbent role covering both functions. It shall be noted that PIPECARE has subsidiaries around the world and, although the Electronics Technician reports to the Shop Supervisor, the responsibility of the Electronics Technician is to ensure that all tasks related to the Western Hemisphere are executed according to the plan, corporate standards, and policy approved by the Corporate Office.
Job Functions, Responsibilities & Authorities
A. Tool Preparation, Testing & Calibration
• Follow approved written instructions, schematics, and design specifications to assemble and prepare Caliper, MFL, UTWM/UTCD, and EMAT tools, using test equipment, hand tools, and precision soldering techniques.
• Perform electronic assembly, soldering, rework, and inspection in accordance with approved workmanship procedures, ESD-control requirements, and applicable IPC standards.
• Perform bench and pull-rig/test-loop calibration of sensors, magnetizers, transducers, odometer wheels, and IMUs against reference standards ahead of every mobilization, in accordance with approved procedures and calibration requirements.
• Execute dry-run and pull-test acceptance procedures; a tool is not released until every acceptance criterion is met and signed off.
• Conduct pressure testing of external electronics and containers.
• Perform final check, calibration, and sign-off on tools prior to mobilization.
• Assemble experimental circuitry or prototype builds per engineering instructions for R&D and internal projects.
B. Battery & Power Systems
• Build, test, and capacity-verify battery packs against run-duration requirements, with margin for delays
• Rebuild, rewire, and replace battery packs and individual cells only in accordance with approved procedures, applicable safety requirements, and authorized competency limits.
• Monitor pack health and flag batteries approaching end-of-life before they cause a field failure.
• Ensure battery packs are handled, packaged, labeled, and documented correctly for every shipment, domestic and cross-border, in accordance with applicable DOT/IATA lithiumbattery transportation requirements and company procedures.
C. Tracking & Locating Equipment (AGM, Transmitters & Pig Locators)
• Prepare, install, and battery-test tool-mounted tracking transmitters (electromagnetic, acoustic, or magnetic) ahead of every mobilization, confirming signal strength and battery life cover the full expected run duration.
• Maintain and pre-run test Above Ground Marker (AGM) units: battery and solar power systems, antenna and geophone accessories, GPS time synchronization, and onboard data storage.
• Maintain and battery-test handheld and vehicle-mounted pig locators/receivers used by field crews to track tool progress and pinpoint a stopped or stuck tool.
Maintain pig signallers and passing indicators at launch, receive, and key trap locations, including mechanical trigger, battery, and alarm function checks.
• Retrieve and back up AGM passage data after each run and provide it promptly to the Data Analysis team in the required format for odometer/IMU correlation.
• Troubleshoot and repair faulty tracking equipment returned from the field; hold any unit that fails pre-run acceptance out of service until repaired and re-tested.
• Maintain a dedicated inventory of spare transmitters, AGM units, locators, batteries,and antennas sized to WH’s mobilization schedule, so a failed unit never delays a launch.
D. Repair, Troubleshooting & Continuous Improvement
• Test, troubleshoot, and repair completed tools, field returns, and incoming PCBs in accordance with approved procedures and electronic workmanship requirements.
• Perform component-level fault diagnosis using multimeter, oscilloscope, and related diagnostic equipment
• Operate drills and other machine tools to fabricate or repair tool components (flaps, connectors, etc.)
• Lead or support root-cause analysis on any tool that underperforms or fails in the field, and close out the resulting corrective actions.
• Proactively propose improvements to tool-prep processes, test procedures, and store operations.
• Maintain failure, repair, and component-replacement history for critical electronic assemblies and use recurring failure data to support preventive maintenance and reliability improvements.
E. Electronics Store & Inventory Management
• Own the electronics store: components, spares, consumables, tool accessories, small tools, and tracking/locating equipment (transmitters, AGM units, locators).
• Receive, inspect, and verify incoming components and materials against purchase orders and packing lists.
• Maintain accurate, current inventory records in the company’s ERP or an equivalent tracking system sized to the store.
• Organize, label, and store all inventory in a safe, systematic, and easily auditable manner.
• Set and monitor minimum/maximum stock levels sized to WH’s actual tool-prep volume, avoiding both stockouts and excess/obsolete stock.
• Conduct periodic physical counts and reconcile discrepancies.
• Perform cycle counts at the frequency established by company inventory procedures and reconcile discrepancies promptly.
• Maintain serial/lot traceability and shelf-life or expiry controls where applicable, and classify critical spares according to their potential impact on mobilization readiness.
• Issue components and consumables against tool-prep and repair jobs.
• Identify slow-moving, obsolete, or damaged stock and recommend disposition.
F. Procurement & Ordering
• Identify component, material, and consumable needs proactively – ahead of tool-prep schedules, not reactively.
• Source suppliers and obtain quotations for components, spares, and consumables.
• Prepare and submit purchase requisitions in line with PIPECARE procurement policy and approved budget; the position does not have independent purchasing or supplier-approval authority unless formally delegated.
• Track order status and coordinate delivery timing against tool-prep and mobilization schedules.
• Maintain basic supplier records and flag recurring quality, pricing, or lead-time issues.
G. Documentation & Reporting
• Enter daily activity into the ERP / Tool Prep Report / Activity Register the same day
• Maintain calibration certificates and measurement-traceability records for tools, sensors, reference standards, and test instruments; identify and quarantine equipment that is overdue or out of tolerance and escalate any potential impact on completed work in accordance with the applicable procedure.
• Download, verify, and back up tool data promptly after every run
• Maintain work areas in a neat, tidy, and HSE-compliant manner
H. Other
• Execute other reasonable tasks in support of Shop/Workshop priorities as they arise.
Skills/Experience
• College education in Electronics, or equivalent hands-on/apprenticeship experience
• Minimum 3–5 years of relevant work experience; prior exposure to in-line inspection (ILI) tools (Caliper, MFL, UTWM/UTCD, EMAT) is a strong plus.
• Solid knowledge of electronic instrumentation and measurement.
• Good experience in soldering, calibration, and testing of electronic PCBs and equipment.
• Working knowledge of inventory/stock management; experience maintaining stock records or running a parts store is a plus - formal supply-chain credentials are not required at this store’s scale.
• Comfortable handling basic procurement/requisitioning tasks: obtaining quotations, raising requisitions, and tracking deliveries.
• Proficient in Microsoft Excel; comfortable learning the company’s ERP/inventory-tracking system.
• Attention to detail, quality focus.
• Ability to work effectively under time pressure and changing mobilization priorities while maintaining quality and safety standards.
• Familiarity with pipeline pig tracking/locating equipment (EM/acoustic transmitters, AGM units, handheld locators) is a plus – not required to start, but expected to be picked up quickly.
• Self-motivated, creative, critical, and curious – genuinely engaged with the work, not just executing instructions.
• Valid driver’s license (local supplier pickups / parts runs).
• Ability to handle inspection-tool components within company-defined limits; work in a workshop environment; stand/walk for extended periods; use required PPE; and work safely around machinery, batteries, and electrical/electronic equipment.
Location: Sharjah, United Arab Emirates
PipeCare Group
is looking for an experienc
Mechanical Design Engineer
to join our team.
By providing technology and service focused solutions to the international arena of the oil and gas industry, the PipeCare Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 20 years.
Key Responsibilities:
Design inline inspection tools and robotic systems from concept through detailed design and production release.
Conduct analyses using FEM/CAE tools (including ANSYS) to validate performance, strength, and reliability.
Execute component and material selection based on mechanical performance, environmental conditions, and lifecycle requirements.
Develop complete engineering documentation including manufacturing drawings, assembly drawings, specifications, and technical reports.
Support prototype fabrication, functional testing, qualification, and iterative design improvements.
Define and prepare assembly procedures and maintenance documentation.
Support production startup, root-cause failure analysis, and continuous design optimization.
Ensure compliance with applicable engineering standards, codes, and regulatory requirements.
Qualifications & Technical Skills:
Bachelor’s degree in Mechanical or Mechatronics Engineering.
Minimum 3 years’ experience in mechanical and/or robotic system design using SOLIDWORKS.
Proficient in detailed mechanical design, 2D/3D drawings, BOM preparation, design calculations, computer simulations, validation, and optimization.
Strong experience in ANSYS for structural, thermal, and mechanical analyses.
Experience in the design and analysis of pigging tools, pipeline inspection crawlers, robotic inspection mechanisms, and in-pipe mobility systems is highly desirable.
Strong exposure to design for manufacture (DFM/DFA) and production engineering environments.
Location: Mexico
AI Product Builder
Improvado
is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.
About the role
As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing.
Responsibilities
Own the product area end to end, from idea to delivery, and define how the roadmap evolves
Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time
Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people
Run customer discovery yourself and turn it into roadmap decisions
Define and measure the metrics that prove the product caused someone to act
Build and maintain automated workflows using AI tools, scripting and the modern data stack
Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements
Qualifications
Product ownership experience
- able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use
Demonstrated use of
AI tools
in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate
Experience
building an AI agent
and making it reliable in production
Marketing or revenue data domain
experience, and you have computed those metrics yourself rather than receiving them from an analyst
Comfortable working with engineers as a peer rather than across a handoff
Strong
SQL
;
Python
for data processing and automation
Fluent English
- there are customer calls and escalations in this role
Availability to overlap
US Pacific
business hours (or at least East)
Nice to have
Hands-on
ETL/ELT pipeline
experience (BigQuery, Snowflake, Redshift, or ClickHouse)
Experience working directly with clients on technical requirements
BI tools (e.g. Superset) for operational reporting
Process
A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
Modern AI tech stack and freedom to experiment
High-velocity team where you will constantly learn and scale your skills
High autonomy and ownership - we care about outcomes, not hours
AI-first, collaborative, no-bureaucracy culture with a technically strong, international team
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Argentina
AI Product Builder
Improvado
is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.
About the role
As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing.
Responsibilities
Own the product area end to end, from idea to delivery, and define how the roadmap evolves
Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time
Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people
Run customer discovery yourself and turn it into roadmap decisions
Define and measure the metrics that prove the product caused someone to act
Build and maintain automated workflows using AI tools, scripting and the modern data stack
Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements
Qualifications
Product ownership experience
- able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use
Demonstrated use of
AI tools
in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate
Experience
building an AI agent
and making it reliable in production
Marketing or revenue data domain
experience, and you have computed those metrics yourself rather than receiving them from an analyst
Comfortable working with engineers as a peer rather than across a handoff
Strong
SQL
;
Python
for data processing and automation
Fluent English
- there are customer calls and escalations in this role
Availability to overlap
US Pacific
business hours (or at least East)
Nice to have
Hands-on
ETL/ELT pipeline
experience (BigQuery, Snowflake, Redshift, or ClickHouse)
Experience working directly with clients on technical requirements
BI tools (e.g. Superset) for operational reporting
Process
A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers.
What We Offer
Remote-first environment
Optional relocation assistance to Latin America after your trial period
Strong product/market fit: marketing data product for US-based enterprises
Modern AI tech stack and freedom to experiment
High-velocity team where you will constantly learn and scale your skills
High autonomy and ownership - we care about outcomes, not hours
AI-first, collaborative, no-bureaucracy culture with a technically strong, international team
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Uruguay
AI Product Builder
Improvado
is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.
About the role
As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing.
Responsibilities
Own the product area end to end, from idea to delivery, and define how the roadmap evolves
Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time
Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people
Run customer discovery yourself and turn it into roadmap decisions
Define and measure the metrics that prove the product caused someone to act
Build and maintain automated workflows using AI tools, scripting and the modern data stack
Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements
Qualifications
Product ownership experience
- able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use
Demonstrated use of
AI tools
in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate
Experience
building an AI agent
and making it reliable in production
Marketing or revenue data domain
experience, and you have computed those metrics yourself rather than receiving them from an analyst
Comfortable working with engineers as a peer rather than across a handoff
Strong
SQL
;
Python
for data processing and automation
Fluent English
- there are customer calls and escalations in this role
Availability to overlap
US Pacific
business hours (or at least East)
Nice to have
Hands-on
ETL/ELT pipeline
experience (BigQuery, Snowflake, Redshift, or ClickHouse)
Experience working directly with clients on technical requirements
BI tools (e.g. Superset) for operational reporting
Process
A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
Modern AI tech stack and freedom to experiment
High-velocity team where you will constantly learn and scale your skills
High autonomy and ownership - we care about outcomes, not hours
AI-first, collaborative, no-bureaucracy culture with a technically strong, international team
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Brazil
AI Product Builder
Improvado
is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.
About the role
As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing.
Responsibilities
Own the product area end to end, from idea to delivery, and define how the roadmap evolves
Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time
Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people
Run customer discovery yourself and turn it into roadmap decisions
Define and measure the metrics that prove the product caused someone to act
Build and maintain automated workflows using AI tools, scripting and the modern data stack
Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements
Qualifications
Product ownership experience
- able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use
Demonstrated use of
AI tools
in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate
Experience
building an AI agent
and making it reliable in production
Marketing or revenue data domain
experience, and you have computed those metrics yourself rather than receiving them from an analyst
Comfortable working with engineers as a peer rather than across a handoff
Strong
SQL
;
Python
for data processing and automation
Fluent English
- there are customer calls and escalations in this role
Availability to overlap
US Pacific
business hours (or at least East)
Nice to have
Hands-on
ETL/ELT pipeline
experience (BigQuery, Snowflake, Redshift, or ClickHouse)
Experience working directly with clients on technical requirements
BI tools (e.g. Superset) for operational reporting
Process
A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers.
What We Offer
Remote-first environment
Optional relocation assistance to Latin America after your trial period
Strong product/market fit: marketing data product for US-based enterprises
Modern AI tech stack and freedom to experiment
High-velocity team where you will constantly learn and scale your skills
High autonomy and ownership - we care about outcomes, not hours
AI-first, collaborative, no-bureaucracy culture with a technically strong, international team
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Gurgaon, India
NEOLYTIX
Assistant Manager, RCM Business Excellence
Revenue Cycle Management | Governance & Performance | Gurugram
DEPARTMENT
RCM Business Excellence
EXPERIENCE
6–8 Years
LOCATION
Gurugram (Onsite)
SHIFT
India Hours | US AM Overlap
REPORTS INTO
President & COO
⚠ This is not a delivery role. You will not run RCM accounts, manage billing teams, or handle client escalations. You will own the independent measurement layer that tells leadership whether delivery is doing what it committed to do. If you want to go deeper into governance and analytics rather than climb an operations delivery ladder, read on.
About the Role
Neolytix is a US-headquartered healthcare managed services organization running RCM, credentialing, and provider services for 270+ provider organizations across the US. Our delivery teams operate from Gurugram, Manila, and Chicago.
We are creating a new seat: Assistant Manager, RCM Business Excellence. This is the founding role of an independent governance function. You will sit alongside delivery, not inside it: your mandate is to define what good process looks like for every RCM account, measure whether it actually happens, and give leadership numbers they can act on. Quality assurance reports to you. You define the metrics, own the cadence, and build the function as it scales.
The shift is India business hours with overlap into the US morning for leadership reviews. This is not a night shift role. If you have spent your RCM career on a night shift at a BPO, that changes here.
What You Will Own
1. Process SLA Conformance
Define the committed process standard per RCM account: charge lag, posting turnaround, AR touch cadence, denial resolution timelines, and aging thresholds.
Track actual performance against committed standards at a granular level. Strategic accounts reviewed weekly, the rest monthly.
Flag risks proactively with proposed solutions before they breach SLAs.
2. Monthly Performance Insight
Build the monthly performance pack from daily productivity and quality data. The standard: a reader can act on it without asking a follow-up question.
Breaches carry a named owner and a resolution date. Last month's breaches are re-checked before new ones are raised.
Contribute to weekly and monthly dashboards shared with delivery leadership and, where relevant, clients.
3. Quarterly Financial Review
Analyse financial performance across all RCM accounts: charges, collections, AR aging, denial rate, net collection rate, and cost to collect.
Present trends to senior leadership each quarter. You will be supported in building this, and expected to stand behind your conclusions when challenged.
4. Quality Function Ownership
Line management of the Quality Lead and QA analysts. You own the sampling plan, audit calendar, scoring consistency, and auditor calibration.
Ensure QA findings reach the floor and drive change, rather than living in a report.
Audit team output for accuracy; identify recurring error patterns and drive corrective action.
5. Process Change Measurement
When a new coding guideline, SOP, or process rule goes out, measure whether it was adopted and what it did to denials or rework.
Rule issued, adoption measured, impact quantified, result fed back. Close the loop, do not just report the issuance.
What You Bring
Must-Have
6 to 8 years in US healthcare RCM operations, with hands-on exposure to AR and denials and a working understanding of how process failure shows up in revenue.
Experience building a reporting, MIS, or business excellence function from scratch: defining the metrics, sourcing the data, establishing the cadence. Inheriting and running a function is not the same thing.
Fluency in RCM financial metrics: net collection rate, AR aging distribution, denial rate, first-pass yield, cost to collect. You can explain what moves each one, not just report the number.
Advanced Excel and working SQL. You use SQL to validate data, not to list it as a skill.
Confidence presenting findings to senior leadership and holding a position when challenged. This means publishing numbers that make delivery look bad when the numbers say so.
Strong Preference
Six Sigma Green Belt or equivalent process excellence training you have actually applied to a live project, not just certified.
Experience across multiple billing platforms (AdvancedMD, Athenahealth, Kareo, Epic, Centricity, or similar) and the data normalisation that comes with it.
Prior management of a small quality or audit team.
Power BI familiarity, though the analytics team owns the front end.
Nice-to-Have
Healthcare analytics firm or BPO process excellence background.
Experience designing and running an MIS reporting function in a US RCM environment.
Exposure to SSAE-18 or SOC 2 audit readiness in an RCM context.
Who You Are
You publish findings that make the delivery team look bad, and you sleep fine afterward. If you soften conclusions to keep the peace, this is the wrong seat.
You build something and then measure whether it worked. The artifact is not the point; the change it produced is.
You ask what a number means before you report it. A chart that describes what happened is the beginning of the work, not the end.
You would rather be right and uncomfortable than comfortable and wrong.
Eligibility Criteria
Education: Graduate degree, any discipline. An analytical or healthcare-adjacent background is preferred.
Communication: Excellent spoken and written English. You will present to the COO and CEO quarterly. Communication below this standard will not progress past the screening stage.
Shift: India business hours with US morning overlap for leadership reviews. Onsite, Gurugram.
Notice Period: Up to 60 days preferred. Beyond 60 days considered only for an exceptional profile.
Performance Expectations
What success looks like across the first year:
Day 30: a current-state assessment published that honestly names what can and cannot be measured today. No softening.
Day 60: SLA conformance tracking live for strategic accounts.
Day 90: SLA conformance extended to the full RCM book.
Month 3 onward: monthly performance pack running reliably. Leadership reads it and acts on it.
Year 1: four quarterly financial reviews delivered and defended, MIS Analyst hired and producing independently, at least one process change closed end to end with adoption measured and impact quantified.
End of year 1: the business argues from your numbers rather than about them.
Career Path
This is the founding seat of a function, not a standalone role. Business excellence and governance are established career tracks in RCM that run to Director and VP level at the large players. We are building ours from its first hire.
Now
AM, RCM Business Excellence
RCM book: quality and MIS
12–18 Months
Manager
Team of 3–5; governance across RCM
Next
Senior Manager / AD
Governance across service lines
Beyond
Director / VP, Business Excellence
The function at company scale
The move to Manager is earned against stated milestones, not time served. The rungs beyond it describe where the function is heading as the business grows.
Hiring Process
Stage 1: TA screening call (30 minutes). Role fit, domain depth check, and shift confirmation.
Stage 2: Functional interview with the COO (45 to 60 minutes). Process knowledge, multi-account RCM experience, measurement approach, and how you handle findings that are unwelcome.
Stage 3: Analytical exercise. A take-home case using real account data with a genuine deterioration in it. You have 3 days to complete it. We are watching whether you reach for root cause or describe the chart.
Stage 4: Conversation with the CEO (45 minutes). Scope discussion, career trajectory, and how you think about building a governance function.
Stage 5: Reference checks (minimum 2 calls). Specifically: an occasion when this person delivered findings that were unwelcome, and what happened next.
Stage 6: Offer.
Why Join Neolytix
Founding Seat of a Function
You own this from its first hire. The metrics, the cadence, the standard: none of it exists yet. That is rare at this level and reads strongly on a CV.
Scope from Day One
The whole RCM book, not one account or one process. At AM level in most RCM organisations you own a slice. Here you own the view across all of it.
Day Shift, Not Night
India business hours with US morning overlap. Not a night shift role. If you have spent your career on a night shift, this changes here.
AI Makes This More Important
As automation absorbs transactional delivery work, the measurement and governance layer becomes a larger share of the organisation. We are building an RCM platform now, and its analyst roles report into this function.
Location: Gurugram, Haryana, India
NEOLYTIX · INCREDIBLY
Platform Configuration Analyst
InCredibly Platform Configuration | Non-Ops | Gurugram
DEPARTMENT
Non-Ops
EXPERIENCE
2–5 Years
LOCATION
Gurugram (Onsite)
SHIFT
US Shift
REPORTS INTO
Manager
⚠ US Shift: This role operates on a US-aligned shift from our Gurugram office. Consistent availability during US business hours is required. Apply only if you can commit to this onsite.
About the Role
Neolytix is a US-headquartered healthcare managed services organization serving 270+ provider organizations across the United States, with delivery operations in Gurugram, Manila, and Chicago. InCredibly is the platform we built to run our credentialing, enrollment, and licensing operations: a rules-driven system that manages workflows, documents, timelines, and payer requirements across thousands of providers.
The platform is configurable by design. Payer requirements, document checklists, follow-up protocols, and workflow variants live in a rules layer and knowledge base, not in code. When the rules are right, the platform does the work. When they are missing or wrong, people do it by hand. This role owns that rules layer.
This is not a delivery role and not a development role. You are the person who decides how the platform thinks. Half the job is keeping the knowledge base accurate. The other half is turning what our operations team knows into configuration the platform can execute: workflow rules, stage templates, gate conditions, validation rules, and defaults that reduce manual work for analysts on the floor.
What You Will Do
1. Knowledge Base & Rules Management
Build and maintain the platform knowledge base: document checklists, validation rules, follow-up protocols, and workflow defaults, structured so the system acts on them rather than as prose for a human to read.
Author configuration rules by work type, category, and variant. Keep them current as operational requirements evolve.
Own the flag queue: triage issues raised by analysts, fix them, and route changes through the change-request approval workflow.
2. Workflow Configuration
Translate operational patterns into workflow configuration: stage sequences, variant rules, SLA adjustments, gate requirements, and follow-up cadences.
Design and test configuration changes before they go live. Version your changes, document why you made them, and maintain a clean audit trail.
Coordinate with operations leads to understand process changes and translate them into updated configuration.
3. Schema & Data Model Partnership
Work with the engineering team when a real-world rule does not fit the existing schema. Spot the mismatch, articulate why, and propose the change with enough context for a developer to act on it.
Use SQL to validate your own work and verify data accuracy before changes hit production.
4. Measurement & Training
Track what your rules do: reductions in manual touches, rework, and first-pass failures. Propose the next configuration improvement candidates from this data.
Write SOPs by work type and brief analysts on how configuration changes affect their workflows. You write for people who will run the process, not for a file.
What You Bring
Must-Have
2 to 5 years configuring rules, data, or workflows in an enterprise platform. Backgrounds that translate well: benefit or provider configuration in payer systems (Facets, QNXT, HealthRules, Amisys), EHR application analysis (Epic, Oracle Health, Meditech), enterprise SaaS administration (Salesforce, ServiceNow, Workday, Pega), or business rules engine configuration.
A demonstrated ability to take an unstructured source document, a policy, a set of requirements, an email thread, and decompose it into fields, conditions, exceptions, and checklists. You will be asked to show this in a work sample.
Version control and change discipline: you document why you made a change, test before you push, and own the outcome when something breaks downstream.
Clear written English. Other people will run the SOPs and playbooks you write.
Strong Preference
Experience with configurable workflow engines, BPM platforms, or business rules engines where you designed the rules, not just executed them.
JIRA: used for managing configuration change requests, flag queues, and work tracking alongside engineering and operations teams.
BPMN 2.0 awareness: ability to read and interpret process flow diagrams and translate them into platform workflow configuration.
Prior experience working with US clients or in a US time-zone overlap model.
Experience across more than one platform or system type: the ability to map a rule from one configuration environment to another.
Nice-to-Have
Exposure to US healthcare operations, RCM workflows, or provider credentialing and enrollment.
Familiarity with credentialing technology platforms such as symplr, Modio Health, Medallion, or similar.
Salesforce, ServiceNow, or Workday administration certification.
Epic certification or formal Facets/QNXT training.
Who You Are
You see structure in a document that most people read as prose. A requirements page is a schema to you before it is a process.
You break things before calling a configuration complete, because you have actually tested it.
You write documentation that the person after you can follow without asking questions.
You push back on vague requirements because you know what happens when a rule is ambiguous and live.
Eligibility Criteria
Education: Graduate degree in any discipline. Computer science, information systems, or a business-adjacent field is an advantage but not required.
Shift: US-aligned shift, onsite in Gurugram. Consistent availability during US business hours is required from day one.
Notice Period: 60 to 90 days is typical for this profile. Please state your notice period clearly.
Performance Expectations
What success looks like:
First 90 days: domain immersion complete. Playbooks, checklists, and follow-up defaults are live for the highest-volume work types. You own the flag queue and the change-request workflow.
6 months: your first configuration improvements are in production and measured. Analysts treat the knowledge base as the source of truth rather than their own notes.
12 months: the rules layer, not analyst memory, drives most routine work. You are defining the next configuration roadmap with the Manager.
Hiring Process
Stage 1: Application review. Include a short note with your CV (150 to 200 words): describe one rule, template, or configuration you built that removed manual work. What was the source? How did you structure it? What happened after it went live? Applications with the note are reviewed first.
Stage 2: TA screening call (20 minutes). Role fit & configuration background.
Stage 3: Work sample (90-minute take-home, mandatory). You receive a business rules document and structure it into fields, conditions, checklists, and gate conditions. Skippable by nothing.
Stage 4: Hiring manager interview with the Product Owner covering your work sample output and configuration approach.
Stage 5: Domain and technical interview with Operations Leadership and Engineering.
Stage 6: Offer.
Why Join Neolytix
Greenfield Ownership
You define the rules layer of a live platform used in production every day. Not maintaining someone else's configuration. Not a ticket queue.
Direct Access
You work with the Product Owner and Operations Leadership directly. No multi-layer hierarchy between you and the decision.
Domain You Can Learn
US healthcare and credentialing operations are taught by the team. The configuration aptitude is what we hire for.
Product Trajectory
InCredibly is moving toward standalone software licensing. The person who defines how the platform encodes rules grows with it.
Location: Riyadh, KSA
Workplace: onsite
BNPL businesses don't run on a single core system — they run on a chain of vendors: KYC providers doing identity
checks in milliseconds, bureau data feeding underwriting decisions, processors moving money at checkout, and
collections agencies chasing missed payments on our behalf. When any link in that chain fails, it isn't an internal
inconvenience — it's a customer who can't check out, a credit decision made on bad data, or a regulator asking why
a critical service went down with no warning.
As Vendor Risk Manager, you will own our third-party risk program end to end, from the first due diligence
questionnaire to the day a vendor is offboarded. You will be the person who can tell leadership, in plain terms,
which vendors carry the most risk and why, and you will make sure vendor failures never become customer failures.
Key Responsibilities
Due Diligence & Onboarding
Run due diligence on new vendors before contracts are signed, including financial health checks, SOC 2 / ISO 27001 review, breach history, and subprocessor mapping.
Issue a clear risk rating for every prospective vendor, with conditions attached rather than a simple pass or
fail, covering KYC, identity verification, fraud detection, credit bureau, payment processing, card issuing,
banking, and collections partners.
Sit inside the contracting process with Legal and Procurement to secure the terms that matter: audit rights,
breach notification windows, data localization commitments, exit assistance clauses, and SLAs tied to real penalties.
Risk Assessment & Ongoing Monitoring
Own vendor risk assessments across our active third-party portfolio, prioritizing critical and high-risk vendors for annual deep-dive reviews.
Build and run tiered monitoring cadences — quarterly for critical vendors such as KYC, payment processing, and banking partners, annual for the rest — tracking control drift, subprocessor changes, and
adverse media.
Maintain the concentration risk and critical-vendor register, and be ready to explain single points of failure, such as one bureau covering the majority of underwriting volume, and what the contingency plan actually
is.
Cross-Functional Partnership
Work with Product before new vendor integrations go live — you're in the room when a new checkout partner or fraud model vendor is being evaluated, not brought in after the contract is signed.
• Prepare vendor risk reporting for the Risk Committee and Board, translating control gaps and incident
trends into decisions leadership can act on.
Offboarding & Exit Management
Manage the offboarding process for exited vendors, confirming data deletion, access revocation, and transition continuity for anything customer-facing.
Ensure regulatory and contractual exit obligations are met and documented, particularly for vendors
classified as critical or important.
Skills, Knowledge & Expertise
3–4 years in third-party risk management, vendor risk, or operational risk, ideally at a payments company, lender, bank, or fintech where vendor failure has direct customer or regulatory consequences.
Working knowledge of NIST CSF, ISO 27001, SOC 2, and standardized assessment tools like SIG or
CAIQ — you know how to read a SOC 2 report and spot what's missing, not just file it away.
Familiarity with the regulatory landscape vendors sit inside: consumer credit rules, data privacy obligations
(GDPR/CCPA depending on footprint), PCI-DSS for anything touching card data, and
outsourcing/operational resilience expectations for critical third parties.
Comfort negotiating directly with vendors — you've pushed back on a processor's standard MSA, gotten a
fraud vendor to commit to a real SLA, and know when “our legal team will follow up” means the deal
needs to walk.
Ability to translate risk findings for people who don't think in risk terms, including explaining to a
commercial lead why a cheaper KYC vendor isn't worth the onboarding delay it will cause six months later.
Strong analytical skills with the ability to interpret vendor performance and control data to support
operational decisions.
Excellent communication and interpersonal skills, with the ability to interact effectively across all levels of
the organization.
Full professional proficiency in English required; Arabic is a plus.
Nice to have:
Direct BNPL or consumer credit experience — you've worked with bureau data, alternative credit scoring
vendors, or collections agencies specifically.
Hands-on experience with a GRC platform such as OneTrust, ProcessUnity, or Archer for assessment
workflows and vendor inventory.
CTPRP, CRISC, CISA, or CISM certification.
Location: Thailand - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
WHY YOU SHOULD JOIN OUR TEAM
You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive.
MISSION
Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour.
OUTCOMES
Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each
Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly
Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate
Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier
Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration
Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution
Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI
Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn
Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap
Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current
Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities
How the tiers differ:
On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution.
HOW YOU’LL RAMP
By Day 30:
Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape
Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack
Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals
By Day 60:
Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed
Lead technical onboarding or integration work for at least one account
Monitor health signals across your accounts and flag at least one emerging risk to the account team
By Day 90:
Carry your full account portfolio, including your share of 24/7 coverage
Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders
Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering
WHAT YOU’VE ACCOMPLISHED
Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers
An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster
Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution
A genuine love of helping and teaching people, and excellent written communication skills in English
Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus
Experience with ticketing systems such as Zendesk and YouTrack
The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP
Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation
Experience working on remote, globally distributed teams
Openness to feedback and to others’ opinions and ideas, and eagerness to grow
Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Serbia - Remote; Spain - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
WHY YOU SHOULD JOIN OUR TEAM
You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive.
MISSION
Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour.
OUTCOMES
Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each
Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly
Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate
Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier
Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration
Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution
Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI
Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn
Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap
Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current
Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities
How the tiers differ:
On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution.
HOW YOU’LL RAMP
By Day 30:
Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape
Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack
Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals
By Day 60:
Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed
Lead technical onboarding or integration work for at least one account
Monitor health signals across your accounts and flag at least one emerging risk to the account team
By Day 90:
Carry your full account portfolio, including your share of 24/7 coverage
Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders
Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering
WHAT YOU’VE ACCOMPLISHED
Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers
An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster
Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution
A genuine love of helping and teaching people, and excellent written communication skills in English
Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus
Experience with ticketing systems such as Zendesk and YouTrack
The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP
Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation
Experience working on remote, globally distributed teams
Openness to feedback and to others’ opinions and ideas, and eagerness to grow
Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Costa Rica - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
WHY YOU SHOULD JOIN OUR TEAM
You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive.
MISSION
Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour.
OUTCOMES
Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each
Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly
Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate
Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier
Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration
Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution
Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI
Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn
Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap
Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current
Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities
How the tiers differ:
On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution.
HOW YOU’LL RAMP
By Day 30:
Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape
Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack
Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals
By Day 60:
Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed
Lead technical onboarding or integration work for at least one account
Monitor health signals across your accounts and flag at least one emerging risk to the account team
By Day 90:
Carry your full account portfolio, including your share of 24/7 coverage
Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders
Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering
WHAT YOU’VE ACCOMPLISHED
Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers
An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster
Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution
A genuine love of helping and teaching people, and excellent written communication skills in English
Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus
Experience with ticketing systems such as Zendesk and YouTrack
The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP
Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation
Experience working on remote, globally distributed teams
Openness to feedback and to others’ opinions and ideas, and eagerness to grow
Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Tbilisi, Georgia
On behalf of
FinTech Client #1
, SD Solutions is looking for a talented
Global Payment Operations Manager
to lead our Payment Operations function from Tbilisi, Georgia.
This is a critical leadership role responsible for ensuring the smooth execution of global payment operations, maintaining operational excellence, and driving continuous improvements across processes, systems, and team performance.
The ideal candidate combines strong payment operations expertise with a strategic mindset, excellent leadership skills, and a passion for automation and operational efficiency.
You will lead a globally distributed team and work closely with Engineering, Product, Compliance, Customer Support, Customer Success, and external banking and payment partners.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Global Payment Operations Leadership
Lead and develop the global Payment Operations team across multiple locations and time zones.
Oversee daily payment operations, including payment monitoring, investigations, exceptions, rejections, returns, recalls, and reconciliation-related activities.
Ensure timely resolution of payment-related issues while minimizing customer and business impact.
Establish clear ownership, accountability, and performance expectations across the team.
Manage operational escalations and coordinate effective resolution of high-priority payment incidents.
Operational Excellence & Process Improvement
Identify operational inefficiencies, recurring issues, and opportunities to simplify workflows.
Build and maintain standardized processes, SOPs, documentation, and knowledge-sharing practices.
Establish operational controls to reduce errors, improve consistency, and minimize risks.
Drive root cause analysis and sustainable corrective actions for recurring payment issues.
Continuously improve operational quality, productivity, and service delivery.
Automation & AI-Driven Transformation
Partner with Engineering, Product, and automation teams to reduce manual operational work.
Identify and prioritize opportunities for AI, workflow automation, and self-service capabilities.
Drive adoption of automation solutions while maintaining appropriate operational controls.
Measure the effectiveness of automation initiatives and their impact on efficiency, quality, and scalability.
Performance Management & Accountability
Define, track, and improve operational KPIs, including resolution time, SLA performance, backlog, quality, and productivity.
Establish clear performance reporting and operational visibility for leadership.
Implement quality assurance practices and structured performance reviews.
Foster a culture of ownership, accountability, proactive communication, and continuous improvement.
Ensure effective workload distribution and resource planning.
Cross-Functional Collaboration & Stakeholder Management
Work closely with Product and Engineering to address payment-related technical issues and systemic gaps.
Partner with Compliance and banking providers to resolve operational challenges and ensure adherence to relevant controls.
Collaborate with Customer Support and Customer Success to improve the customer experience.
Provide clear, timely, and actionable updates during escalations and critical incidents.
Represent Payment Operations in cross-functional initiatives and strategic discussions.
Requirements:
5+ years of experience in Payment Operations, Banking Operations, Fintech Operations, or a related field.
2+ years of experience managing operational teams, preferably across multiple locations.
Strong understanding of payment processing, banking workflows, payment failures, investigations, and exception handling.
Proven experience driving process improvements, operational efficiency, and measurable performance improvements.
Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
Demonstrated ability to lead through operational complexity and changing business priorities.
Excellent stakeholder management, communication, and escalation management skills.
High level of ownership, accountability, and attention to detail.
Excellent written and spoken English.
Advantages:
Experience in a global fintech or payments SaaS environment.
Familiarity with payment networks and methods such as ACH, Wire, SWIFT, SEPA, and local payment rails.
Experience working with global banking partners and payment service providers.
Hands-on experience implementing automation, AI-powered workflows, or operational transformation initiatives.
Familiarity with Zendesk, Jira, Salesforce, BI tools, or similar operational platforms.
Experience managing operational risk, reconciliation, and financial controls.
About the company:
A well-funded fintech unicorn operating a cloud-based global payables automation platform. Enterprises use it to streamline supplier payments, mass payouts, and AP operations across international markets — replacing manual finance processes with automated, audit-ready workflows.
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Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. More than 9 million developers and 250,000+ customers now build on Supabase, and the majority of new databases on the platform are created by AI app builders — so the systems underneath have to stay reliable while they grow fast.
ABOUT THE ROLE
Container Engineering (ConEng) owns the internal container platform that runs Supabase's multi-tenant, multi-region services — the managed Kubernetes platform that other engineering teams build and deploy on top of. We own cluster lifecycle and cluster classes, multi-cluster and multi-region topology, capacity, scheduling, isolation and runtime safety, the higher-level platform APIs, the Kubernetes deployment contract and Argo semantics, rollout primitives, and runtime configuration and secret injection.
Your job is to make the platform itself trustworthy, observable, and cheap to operate at scale — and to raise the reliability bar for everyone who depends on it. This is not a gatekeeper role. You'll make the reliable path the easy path: building the automation and platform APIs that let product teams run safely by default, instrumenting what we operate, and making sure that when something breaks we detect it and recover fast.
The work spans three strength areas:
Tooling & ecosystem — deep knowledge of the container and orchestration landscape (Kubernetes, containerd/OCI, the CNCF ecosystem) and a clear point of view on how to compose it.
Software engineering — designing and building the platform's automation, controllers, and internal tooling as production code, including solutions that don't come pre-shaped by an existing tool.
Operational / SRE practice — the discipline (SLOs, error budgets, incident response, ORRs) that runs the platform at scale as a predictable one.
We expect you to be genuinely deep in at least one of these, and many of our strongest candidates are deep in two (usually leaning toward one). Bringing real strength across all three is rare and exceptional — and even then, no one is equally strong in all three at once, so you'd focus where you're most needed at any given time. Different profiles are welcome here; tell us which of these is your center of gravity.
WHAT YOU'LL BE RESPONSIBLE FOR
Regardless of the skill set, all team members carry a share of the team's on-call rota, responding to platform incidents and driving them to resolution and follow-up.
Platform reliability & operations
- Define SLIs/SLOs and error budgets for the container platform itself, and build error-budget policies that actually gate platform changes.
- Own the Operational Readiness Review (ORR) process for new platform capabilities and major changes.
- Design and track metrics for platform uptime, and increase observability into the platform by capturing the right metrics, logs, and traces across the platform layers.
- Drive the incident-to-improvement pipeline: facilitate blameless postmortems, connect findings to readiness gaps, spot repeat failure patterns, and push through systemic fixes.
Software engineering
- Build and maintain the platform's automation, controllers, operators, and internal tooling — writing production code and shipping it, not just wiring together existing tools.
- Design and implement the platform-side CI/CD and rollout primitives that speed up platform deployments while working within proper change and release management.
- Implement and maintain security automation for the platform: intrusion detection, automated remediation, and patch management.
- Identify and quantify operational toil, and build the automation that removes it rather than just documenting it.
- Contribute to the platform's continual testing automation — the test suites and pipelines that validate platform releases are fit for purpose before they reach tenants.
Tooling, ecosystem & architecture
- Act as a platform reliability and architecture expert — contribute to failure-mode analysis, dependency mapping, and resilience design for multi-tenant container workloads.
- Evaluate and evolve the platform's tooling ecosystem (orchestration, runtime, networking, isolation, and observability stack) with a clear, opinionated view on trade-offs.
- Improve system architecture to reduce infrastructure cost while balancing security, reliability, and performance across tenants.
- Guide teams building on the platform to design sustainable on-call practices for their own services: alert quality, escalation paths, runbook coverage, and noise reduction.
YOU MIGHT BE A GOOD FIT IF YOU
- Have 5+ years in platform engineering, container/Kubernetes platform operations, SRE, or production infrastructure, and have operated production systems at scale and carried on-call for them.
- Are genuinely deep in at least one — ideally two — of the three strength areas below (and tell us which is your center of gravity):
- Tooling & ecosystem — know the container/orchestration landscape well: Kubernetes, containerd and the OCI/CRI standards, and the surrounding CNCF ecosystem (e.g. Argo CD/Argo Rollouts for GitOps and progressive delivery; Cilium/eBPF networking and the Gateway API; Karpenter/KEDA-style autoscaling; and workload-isolation runtimes such as gVisor or Kata Containers). You reason about trade-offs rather than reaching for defaults.
- Software engineering — write real production code (Go and/or a comparable systems language) and can build controllers, operators, and platform APIs — stepping back to the underlying problem and building the right solution when no off-the-shelf tool fits.
- Operational / SRE practice — are fluent in SLOs, error budgets, and operational KPIs; have led incident response and blameless postmortems; and have driven down MTTD/MTTR for systems you operated.
- Have worked with large-scale multi-tenant systems and understand isolation as a spectrum — from namespaces, RBAC, network policies, and resource quotas through to stronger primitives such as virtual clusters (e.g. vCluster) or VM-class runtimes.
- Operate confidently on AWS (multiple accounts, IAM, VPC) and are comfortable with infrastructure-as-code (Pulumi preferred; Terraform/CDK also fine) and Kubernetes.
- Script and automate to eliminate toil rather than absorb it.
- Communicate clearly with both infrastructure specialists and product engineers, and thrive in async, globally distributed teams.
- Are comfortable navigating ambiguity and iterating toward better systems over time.
Nice to Have
- Experience building and operating a multi-tenant Kubernetes platform that internal teams deploy onto.
- Familiarity with policy engines (Kyverno, or OPA/Gatekeeper) and cost-attribution tooling (OpenCost/Kubecost) for per-tenant chargeback/showback.
- Experience with managed database platforms or Postgres.
- Familiarity with OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, or similar observability tooling.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
本职位需在马来西亚吉隆坡(KL)办公室现场办公,欢迎愿意搬迁至吉隆坡的候选人投递
Responsibilities
1. System Reliability
Ensure the stability, availability, and performance of the company's core business infrastructure across AWS and Tencent Cloud globally; accountable for production environment SLAs.
Maintain stable operation and troubleshooting of the service mesh based on Kubernetes + Envoy/Istio architecture; drive gateway-layer governance standards.
Define and implement SLO/SLI/Error Budget frameworks to continuously improve service reliability.
Identify system bottlenecks and single points of failure; drive architectural improvements.
2. Automation & Engineering Efficiency
Develop operations automation tools: capacity assessment, auto-scaling, self-healing, and change automation.
Build SRE platforms: lead or contribute to building SRE platforms (capacity management, cost analysis, service health dashboards) and iterate continuously with the team.
API integration: interface with monitoring systems, cloud platforms, and Kubernetes APIs to enable automated data workflows.
Chaos Engineering: design and implement chaos engineering practices to proactively validate system fault tolerance.
IaC & CI/CD: advance Infrastructure as Code (Terraform / Helm / GitOps) and CI/CD pipeline optimization to improve release safety and reduce manual operations.
3. Capacity Planning & Performance Optimization
Establish and continuously iterate capacity assessment frameworks; develop scaling plans aligned with business growth projections.
Identify performance bottlenecks; drive architectural optimization and cost efficiency (redundancy optimization, cost reduction).
Participate in capacity estimation and scaling plans for major promotions and high-traffic events.
Build cost-efficiency metrics; track and optimize per-unit business cost
Requirements
Development Skills
Proficient in at least one programming language: Python / Go / Java / Node.js (Python or Go preferred).
Able to independently deliver end-to-end features: from requirements analysis → design → coding → testing → deployment.
Backend development experience: familiar with RESTful API design and databases (SQL/NoSQL).
Strong scripting skills: able to quickly write Shell/Python scripts to solve day-to-day operations issues.
SRE Fundamentals
3+ years of SRE/DevOps experience with large-scale distributed systems.
Linux expertise: solid understanding of Linux internals, performance tuning, and troubleshooting.
Container technologies: proficient in Docker and Kubernetes with production-level K8s management experience.
Monitoring & alerting: experienced with Prometheus / Grafana / ELK; able to design monitoring metrics and alerting strategies.
CI/CD: familiar with GitLab CI / Jenkins / ArgoCD with hands-on automated deployment experience.
Soft Skills
Data-driven mindset: make decisions backed by metrics and data.
Problem-solving: quickly identify root causes and drive cross-team collaboration to resolve issues.
Influence: able to evangelize SRE culture to development teams and drive reliability engineering practices (SLO, Postmortem, change management) across business teams.
Ownership: take full accountability for the reliability of owned services; proactively identify and optimize issues.
Fast learner: able to quickly ramp up on new technologies and tools.
Nice to Have
Experience building internal operations platforms from scratch, with full-stack development skills to independently deliver a complete platform.
Familiarity with cloud-native technologies (Istio, Service Mesh, Operator pattern) and service governance (rate limiting, degradation, circuit breaking).
Hands-on Chaos Engineering experience.
Practical experience in capacity planning and cost optimization (FinOps).
Operations experience in finance, trading systems, or high-concurrency scenarios, including capacity assurance for major promotions or high-traffic events.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage
Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners
Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams
Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next
Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry, computational chemistry, or a related field
Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth
Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
Experience with reinforcement learning, large language models, or building evaluations and benchmarks
Track record of supporting drug discovery programs alongside medicinal and synthetic chemists
Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data
Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry
Hands-on synthetic or medicinal chemistry experience at the bench
Publications, patents, or open-source software demonstrating scientific impact
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:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
London, United Kingdom
Houston, TX, United States; Rebuild, rewire, and replace battery packs and individual cells only in accordance with approved procedures, applicable safety requirements, and authorized competency limits
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Optional relocation assistance to Latin America after your trial period
Uruguay
Optional relocation assistance to Latin America after your trial period
Gurgaon, India
Gurugram, Haryana, India; Propose the next configuration improvement candidates from this data; Prior experience working with US clients or in a US time-zone overlap model
ОфисseniorRiyadh, KSA
Thailand - Remote
Serbia - Remote; Spain - Remote
Costa Rica - Remote
Tbilisi, Georgia; Lead and develop the global Payment Operations team across multiple locations and time zones