Location: Toronto; Canada; United States
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ROLE OVERVIEW
We're seeking a senior product leader to own Cohere's Inference as a Service business end to end. The product is sovereign, self-serve inference: a mid-market or enterprise buyer picks a model, a region and a GPU size, and is running the same afternoon with no procurement cycle and no infrastructure of their own. You'll decide which open-weights and first-party models we serve, in which regions and on which hardware, set the rate card they sell at, and carry the revenue and margin that follow from those calls. You own the platform around that endpoint as well, from the console and dashboards a customer administers their deployment through to the catalog of first-party and third-party models behind it.
You'll set the strategy and run the execution, which means choosing where to spend across serving efficiency, the self-serve console and regional capacity when all three want the same budget, and shipping the deployment framework that removes infrastructure barriers while holding the line on data residency, compliance and operational confidence. You'll do that across engineering, serving, finance, legal and GTM without formal authority over most of it, and you'll be accountable for the outcome rather than for the roadmap.
The timing is most of the opportunity. Every serious company is deciding where its models will run and what it costs to keep them running, serving demand is climbing faster than anyone can rack hardware for it, and very few of those buyers are willing to hand their data to an operator who can read it. We are starting this business from a standing start, with the models, the silicon and the encryption already in place and almost no one else able to offer the combination. You would be taking a product to market in the window where that advantage is still ours, building one of Cohere's major revenue lines from its first customer onward, and shaping how a generation of companies buys AI it can actually trust.
RESPONSIBILITIES
- Own the P&L for Inference as a Service: carry the revenue number, set the rate card, and keep blended margin above the floor as the catalog and the fleet grow.
- Own the inference platform itself: the console and dashboards where customers see usage, spend, API keys, access control and attestation, and the value-add tooling that makes a managed endpoint worth more than a raw one.
- Own the model inventory across first-party and third-party models: what enters the catalog, how it is grouped by provenance, what it is priced at, and when something is quantised, replaced or retired.
- Set the roadmap and the investment case across serving efficiency, the self-serve surface and regional capacity, and make the call when those three compete for the same budget.
- Build the commercial motion with GTM from the ground up: self-serve acquisition for the mid-market, a sales-led motion for enterprise, and the partnerships that monetise capacity we would otherwise leave idle.
- Stay close to the market: talk to customers and developers about integration friction and unmet needs, track competitor pricing, catalogs and launches, and follow where models and hardware are heading, then turn that into a clear view of where we should place our bets and what it would take to win.
- Define the metrics that tell us whether this is a business, including revenue, margin, win rate, time to first token and self-serve share, and lead the work that moves them.
- Partner with engineering, research, legal, finance, technical writing and developer relations to ship the platform and clear the licensing, pricing and capacity decisions behind it.
- Represent the business to the executive team with a recommendation, the evidence behind it and the trade-off it implies.
REQUIREMENTS
- 10+ years of product management experience, including meaningful time owning a B2B infrastructure or platform product at the scope of a business rather than a feature area.
- Experience operating in a GM-like capacity: you have carried a revenue line or a P&L, set pricing, and been held to margin as well as to shipping.
- Background at a neocloud such as Together AI, Baseten or Fireworks, or at a hyperscaler such as AWS, Azure, OCI or Google Cloud, with a working view of how inference capacity is priced, packaged and sold, and a point of view on where the segment goes next.
- A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features.
- Entrepreneurial, with experience taking a new product to market and building the commercial motion around it rather than inheriting one.
- Experience with deployment models such as multi-tenant and dedicated infrastructure, and ownership across the full product lifecycle, from problem definition through launch, iteration and eventual migration or deprecation.
- Analytical by default: you define success metrics before you build, instrument thoughtfully, and use data alongside qualitative feedback to make decisions.
- Able to set direction and earn alignment across engineering, infrastructure, finance, legal and GTM without formal authority, and to put a clear recommendation and its trade-offs in front of an executive audience.
NICE-TO-HAVES
- Experience owning a model serving or inference platform, including self-serve infrastructure and metered inference offerings.
- Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products, particularly in the inference-as-a-service context.
- Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption and integration patterns for inference workloads.
- Experience with GPU infrastructure and cloud deployment models across both neocloud and hyperscaler environments.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
УдалённоToronto; Canada; United States; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Location: Jakarta; Surabaya; Bandung; Medan; Tangerang; Bekasi; Depok; Semarang; Palembang; Pontianak; Pekanbaru; Malang; Bogor; Makassar; Yogyakarta
Workplace: remote
We are looking for AIVoice Recording Contributors to join a Simplified Chinese voice evaluation project and help support the development of the next generation of AI technologies.
Job Type: Freelance
Location: Work from home
Work Schedule:Flexible, task-based work (approximately 4–6 hours per day)
Project Duration: Approximately 1 month
Start Date: Immediately
Rate: 5 USD/hour
Help Shape the Future of AI
This short project offers an opportunity to contribute to the development and improvement of speech and language AI technologies by providing high-quality voice recordings in your native language and dialect.
You will complete recording tasks using our internal platform by reading provided text prompts aloud. The goal is to capture natural speech from native speakers of specific language variants to help improve AI systems' ability to understand diverse languages, dialects, and accents.
How Your Recordings Will Be Used
Your recordings will be used to evaluate how agents respond to spoken instructions and to compare that evaluation with an evaluation of text-based instructions. The collected audio may be reviewed for quality and incorporated into datasets used for research, development, testing, and improvement of AI systems.
What You’ll Do
Read provided text cards aloud and record them exactly as written (there approximately 640 cards per person).
Produce clear, natural, and high-quality speech recordings following the guidelines and instructions provided.
Speak using your natural dialect and accent.
Ensure no words are added, omitted, or altered.
Re-record submissions if requested to meet quality standards.
Complete tasks using our internal recording platform.
What We’re Looking For
Native-level fluency
in
Simplified
Chinese.
Authentic pronunciation and strong familiarity with the target dialect or accent through everyday use.
Advanced level of
English
to understand written instructions.
Ability to complete a
trial voice recording
to verify language variant and accent.
Contributors must not imitate dialects or accents that are not their own.
Experience with speech recording projects is an advantage, but not required.
Strong communication skills and attention to detail.
Ability to follow detailed instructions and maintain recording accuracy.
Technical Requirements
Quiet room or recording space with minimal background noise.
Computer microphone or headset with microphone.
Reliable internet connection.
Ability to access and use an online recording platform.
What We Offer
Flexible, remote work.
Timely and reliable payments.
Opportunity to contribute to cutting-edge AI technology.
Access to future language and AI-related projects.
A flexible engagement ideal for gaining experience with AI data collection projects.
#LI-CAN17
Vendor Type
When applying, please select the option that best describes your working status.
Are you a Freelancer or Private Individual?
A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to a registered business in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
Requirements:
— Minimum 7 years of experience in the banking sector with deep expertise in AML / AFC, Financial Crime Risk Management, Transaction Monitoring.
— Development of business rules and client risk assessment models.
— Experience with Investigation Workflows, Business Analysis, Process Mining, Change Management.
— Proficiency in SQL (complex queries and optimization on large data volumes), Python, ETL, Data Analysis.
— Familiarity with Jira, Confluence, Agile methodologies (Scrum / Kanban / SAFe).
— Ability to produce technical documentation and manage stakeholders.
Advantages:
— Knowledge of Bridger XG, Siron Suite, Compliance Lens, AML Analytics, Power BI, Tableau, AWS, Kafka, Kubernetes.
Conditions:
— Predominantly remote work format with paid business trips once a month to Baltic countries.
— Fluent English required.
— Only freelancers, outstaff, and recruiting companies are not considered.
Location: Montreal; Quebec City; Laval; Gatineau; Longueuil; Sherbrooke; Trois-Rivières; Saguenay; Lévis; Terrebonne; Repentigny; Drummondville; St-Jérôme; Granby; Edmonton
Workplace: remote
We are looking for AIVoice Recording Contributors to join a French (Canada) voice evaluation project and help support the development of the next generation of AI technologies.
Job Type: Freelance
Location: Work from home
Work Schedule:Flexible, task-based work (approximately 4–6 hours per day)
Project Duration: Approximately 1 month
Start Date: Immediately
Rate: 16 USD/hour
Help Shape the Future of AI
This short project offers an opportunity to contribute to the development and improvement of speech and language AI technologies by providing high-quality voice recordings in your native language and dialect.
You will complete recording tasks using our internal platform by reading provided text prompts aloud. The goal is to capture natural speech from native speakers of specific language variants to help improve AI systems' ability to understand diverse languages, dialects, and accents.
How Your Recordings Will Be Used
Your recordings will be used to evaluate how agents respond to spoken instructions and to compare that evaluation with an evaluation of text-based instructions. The collected audio may be reviewed for quality and incorporated into datasets used for research, development, testing, and improvement of AI systems.
What You’ll Do
Read provided text cards aloud and record them exactly as written (there approximately 640 cards per person).
Produce clear, natural, and high-quality speech recordings following the guidelines and instructions provided.
Speak using your natural dialect and accent.
Ensure no words are added, omitted, or altered.
Re-record submissions if requested to meet quality standards.
Complete tasks using our internal recording platform.
What We’re Looking For
Native-level fluency
in
French (Canada).
Authentic pronunciation and strong familiarity with the target dialect or accent through everyday use.
Advanced level of
English
to understand written instructions.
Ability to complete a
trial voice recording
to verify language variant and accent.
Contributors must not imitate dialects or accents that are not their own.
Experience with speech recording projects is an advantage, but not required.
Strong communication skills and attention to detail.
Ability to follow detailed instructions and maintain recording accuracy.
Technical Requirements
Quiet room or recording space with minimal background noise.
Computer microphone or headset with microphone.
Reliable internet connection.
Ability to access and use an online recording platform.
What We Offer
Flexible, remote work.
Timely and reliable payments.
Opportunity to contribute to cutting-edge AI technology.
Access to future language and AI-related projects.
A flexible engagement ideal for gaining experience with AI data collection projects.
#LI-CAN17
Vendor Type
When applying, please select the option that best describes your working status.
Are you a Freelancer or Private Individual?
A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to a registered business in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
Location: Spain, Remote/Spain
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Portugal, Remote/Portugal
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Belgrade, Remote/Serbia
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Armenia, Remote/Armenia
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Tbilisi, Remote/Georgia
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Belgrade, Remote
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLang is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: GE
Workplace: remote
Overview:
SOFTSWISS is hiring a Promo Manager Assistant to join our Game Aggregator team. You’ll support promotional activities across the Game Aggregator platform, working closely with game providers, operators, and internal teams to ensure well-coordinated campaigns and smooth promo launches.
About Product:
The SOFTSWISS Game Aggregator is a high-load casino games API platform that connects operator platforms to multiple remote game servers via a single integration.
Behind the product is a team of engineers, DevOps specialists, integration experts, account managers, and partnership professionals who ensure reliable, secure, and scalable operations for operators worldwide. You’ll solve complex technical challenges and help power one of the industry’s leading aggregation platforms.
Purpose of the Role:
You’ll coordinate promotional activities across the Game Aggregator platform to support timely launches and effective collaboration with partners. Your work will help maintain accurate partner data, streamline communication, and ensure promotional opportunities reach the right stakeholders.
Key Responsibilities:
Maintain and update the partner marketing activities calendar in Confluence and Telegram.
Support the Promo Manager in coordinating Tournament Tool integrations with clients / operators.
Facilitate communication between the Promo Manager, game providers, and operators on promotional activities.
Review and maintain client-submitted forms, identifying inconsistencies and flagging them to Account Managers / Business Account Managers of the operator / client.
Share information on promotional discounts with Partnership Reconciliation Managers to support accurate reconciliation.
Coordinate exclusive game releases and pre-releases, including internal announcements, client registrations, and communication with game providers.
Required Experience:
English proficiency at Intermediate level or higher.
Strong analytical thinking and attention to detail.
Good knowledge of Excel and Google Sheets.
Good organisational skills, with the ability to manage multiple tasks and keep information up to date.
Clear communication skills and the ability to work with different teams and stakeholders.
Nice to Have:
Experience as an Account Manager assistant, in marketing or advertisement.
Familiarity with analytics and reporting tools, such as Power BI or Tableau.
Russian proficiency at Upper-Intermediate level or higher.
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
Location: Germany
Workplace: Remote
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s Legal Engineers are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Legal Engineers build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective.
Similar to how Solutions Architects secure the “technical win” in the sales process, Legal Engineers secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.
Legal Engineers utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.
WHAT YOU’LL DO
- Engage with English- and German-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them.
- Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).
- Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.
- Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types.
- Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.
- Tailor the introduction of new solutions to specific customer needs.
- Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs.
- Conduct research and analysis on customers and competitors.
WHAT YOU HAVE
- JD or equivalent legal qualification.
- Fluent in German and English.
- At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a transactional, in-house or transformation experience.
- Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.
- Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Strong understanding of legal processes and challenges faced by legal professionals.
- Curiosity about AI’s potential to transform the legal industry.
- Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.
ADDITIONAL INFORMATION FOR POSTINGS
- Location: Germany
- Work eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this role
WHAT WE OFFER
- Be part of building something special as a founding member of our Germany team
- Opportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growth
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-RC1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: GE; PL
Workplace: remote
Overview:
SOFTSWISS continues to expand its team and is looking for a Senior Ruby on Rails Developer. We need a skilled, proactive and accomplished professional who shares our culture and values and is ready to contribute to the development of cutting-edge gaming solutions.
About Product:
SOFTSWISS Casino Platform
Full-service modular software platform to manage online casino operations
Learn More
Purpose of the role:
We’re looking for an engineer who treats AI as a force multiplier rather than a shortcut: someone who ships fast with modern tooling, but still owns the architecture, the edge cases and the production behaviour of everything they deliver. If you share our culture and values and want to build high-load gaming solutions used by millions of players, we’d love to talk.
Key responsibilities:
You’ll do design, build and evolve Ruby on Rails services that power our iGaming platform: high-throughput APIs, payment and wallet flows, real-time game integrations and back-office tooling.
Work in an AI-augmented workflow: use coding assistants and agents (Cursor, Claude Code, GitHub Copilot or similar) for scaffolding, refactoring, test generation and code review and take full responsibility for the quality of what gets merged.
Integrate LLM-based features into the product where they create real value: [fraud and risk signals, player-support automation, content generation, internal analytics copilots].
Own performance and reliability: profile hot paths, tune PostgreSQL queries, design caching and background-processing strategies, and drive incidents to root cause.
Review code (human- and AI-written alike), mentor mid-level engineers and help set the team’s standards for how we use AI responsibly and effectively.
Take part in architecture discussions, technical planning and cross-team initiatives.
Required Experience:
4+ years of commercial Ruby on Rails experience; deep understanding of Ruby internals, Rails conventions and where to break them.
Strong SQL and PostgreSQL skills: indexing, query planning, migrations on large tables without downtime.
Solid grasp of distributed-system fundamentals: message queues, idempotency, eventual consistency, background jobs (Sidekiq or similar), caching (Redis).
Hands-on experience with AI coding tools in day-to-day work, and a clear opinion on when they help and when they hurt.
You can spot a plausible-looking hallucinated API in review.
Ability to evaluate and verify AI-generated code: you write and read tests critically, understand what the code actually does, and never merge what you can’t explain.
Experience designing and consuming REST and/or gRPC APIs; familiarity with OpenAPI.
Confident with Git, CI/CD pipelines, Docker; comfortable reading Kubernetes manifests and logs.
Experience with observability tooling (Prometheus/Grafana, Sentry, OpenTelemetry or similar).
Upper-Intermediate or higher English and Russian level.
Nice to have:
Experience integrating LLM APIs (OpenAI, Anthropic, open-weight models) into production Ruby applications – prompt design, structured outputs, evaluation, cost and latency control.
Familiarity with RAG pipelines, vector databases (pgvector, Qdrant) or agent frameworks.
Understanding of security and data-privacy implications of AI features (PII handling, prompt injection, model output validation).
Experience in fintech, payments or iGaming; knowledge of regulatory and responsible-gaming requirements.
Contributions to open-source Ruby projects, talks or technical writing.
Working knowledge of Go, Elixir or TypeScript for cross-service work.
Our stack:
Ruby 3.x, Rails 7/8, PostgreSQL, Redis, Sidekiq, Kafka [/RabbitMQ], Docker, Kubernetes, GitLab CI, Grafana, Sentry.
AI tooling: [Cursor / Claude Code / Copilot] with team-wide guidelines on usage, review and security.
LLM integrations via [provider APIs and self-hosted models]
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events