Location: Remote, Canada
Who We Are
Join a Global Mining Solutions Leader with More Than 100 Years of Industry Excellence
At Bradken, we've been solving complex mining challenges for more than a century. Today, our products and solutions support some of the world's leading mining operations, helping customers improve safety, productivity, reliability, and operational performance.
As part of a global organization of more than 4,000 employees, you'll join a business built on engineering expertise, product quality, innovation, and long-term customer partnerships. Our strong reputation within the mining industry has been earned through decades of delivering trusted wear solutions, mill liners, fixed plant products, and mining consumables to customers worldwide.
Due to continued growth across North America, we're looking for a
Business Development Specialist
to help expand our presence within the Canadian mining market.
This is an excellent opportunity for a commercially minded mining professional who enjoys building relationships, identifying new business opportunities, and working closely with mine sites and key industry stakeholders. You'll have the support of a globally recognized brand while maintaining the autonomy to manage your territory and drive growth.
What Makes This Opportunity Different?
Represent a respected global mining solutions provider with more than 100 years of industry experience.
Join a stable and growing organization with a long-term commitment to the mining sector.
Work with established products trusted by mining operations around the world.
Enjoy the flexibility of a fully remote position while remaining closely connected to customers and colleagues.
Be part of a collaborative "One Team" culture that values knowledge sharing, safety, and continuous improvement.
Access long-term career development opportunities across a global organization.
About the Role
The successful candidate will focus on developing new business opportunities and expanding customer relationships across Canada's mining sector, particularly within:
Fixed Plant Solutions
Mill Liners
Wear Solutions and Wear Piping
Mineral Processing Applications
You will work closely with operations, maintenance, reliability, engineering, and procurement stakeholders to understand customer challenges and deliver value-driven solutions.
Important Considerations
To be successful in this role, candidates should be comfortable with:
Approximately
50-60% travel across Canada
, including regular visits to mining operations and customer sites.
A field-based sales environment requiring frequent travel and territory coverage.
Building new business opportunities while also developing long-term customer relationships with existing partners and network in mining and related relevant heavy industries.
Working independently in a remote environment while collaborating with internal stakeholders across multiple regions.
What We're Looking For
Degree in Engineering, Business Administration, or a related field.
Experience in technical sales, business development, or account management within the mining industry.
Knowledge of Fixed Plant, Mill Liners, Wear Solutions, Grinding Circuit Equipment, or related mining products.
An established network and existing relationships within mining companies, EPCM organisations, OEMs, engineering consultancies, or related industries.
Demonstrated ability to build customer relationships and identify growth opportunities.
Valid driver's license and willingness to travel extensively.
Strong communication and stakeholder management skills.
Experience using Salesforce CRM is advantageous but not required.
Why Bradken?
Competitive salary package.
Annual Performance bonus.
Sales Annual Performance bonus.
Health and wellness benefits from day one.
Employee Assistance Program and mental health support - Private Psychology for employee and family members.
Paid parental leave.
Learning and development opportunities.
Education assistance program.
Career progression within a global organization.
A Safety First culture where people genuinely matter.
This position is open to be fully remote in anywhere within Canada (Preferred Quebec, Edmonton and Toronto)
While a "remote" position, it will require substantial travel to mining locations.
We welcome any referrals attaching their resumes at
nchicoma@bradken.com
- Subject: Business Development Specialist Canad
a
Note: Pre-employment medical, including drug and alcohol testing, and a psychometric assessment are required.
Are you ready to accelerate your career with a global leader?
We are looking to move promptly to Interviews. Apply today!
Before commencing employment, you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing.
Bradken is an Equal Opportunity Employer and we are committed to providing a diverse, inclusive, engaging, and flexible environment for our people because great things happen when individuals are given the opportunity to bring themselves into their work. All employment will be based on merit, competence, performance, and business needs
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making.
You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics.
You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning.
RESPONSIBILITIES
- Design and maintain core data models and semantic layers
- Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks
- Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools
- Define and maintain company-wide metrics across product usage, performance, and customer lifecycle
- Enable self-service analytics through agents and tools, with well-structured semantic layers and context
- Ensure data reliability and quality through testing, documentation, and governance
PREFERRED QUALIFICATIONS
- Understanding of inference metrics such as latency, throughput, token usage, and model performance
- Experience supporting B2B SaaS and/or consumption-based platforms
- Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a
Staff
ML Infrastructure Engineer,
you will lead development of a platform for large scale ML models at Reddit.
Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges
Who You Might Be:
8+ years of experience in ML infrastructure, including model training and model deployments
Hands-on experience with ML optimization, including memory and GPU profiling
Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
Deep experience working with distributed training frameworks, including Ray and Kubernetes
Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
Strong organizational & communication skills
Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$230,000
—
$322,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a
Senior
ML Infrastructure Engineer,
you will lead development of a platform for large scale ML models at Reddit.
Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges
Who You Might Be:
5+ years of experience in ML infrastructure, including model training and model deployments
Hands-on experience with ML optimization, including memory and GPU profiling
Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
Deep experience working with distributed training frameworks, including Ray and Kubernetes
Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
Strong organizational & communication skills
Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$216,700
—
$303,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Consumer Growth Experience Engineering (CGX) builds the platforms and end-to-end experiences that power Affirm’s consumer growth across push, email, app, and web. We own the core engagement surfaces and systems that help customers discover value, onboard seamlessly, and take confident next steps by using personalization, segmentation, and experimentation to deliver the right experience at the right moment.
Our work sits at the intersection of product, analytics, design, platform, and growth. We focus on building scalable, reliable tooling and consumer experiences that enable rapid go-to-market, improve conversion and activation, and grow long-term customer value. If you’re excited about shaping high-impact consumer journeys, solving ambiguous growth problems, and turning strategy into measurable outcomes at scale, CGX is the team for you.
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have experience leading significant mobile initiatives (React Native or native), including defining architecture, coordinating cross-functional launches, and maintaining high reliability in production environments.
· You have experience working across the React Native and native boundaries (Swift/Kotlin), debugging platform-specific issues and improving developer tooling, CI/CD, and release processes for mobile apps.
- You have experience implementing experimentation, feature flagging, and analytics instrumentation in mobile applications, ensuring safe rollouts and measurable impact.
· You have experience shipping web apps using declarative UI frameworks like React or Vue.
· You are proficient in working with Javascript/Typescript.
· You have a total of 4+ years of experience as a software engineer.
· You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
MANAGERS DOT NOT DELETE OR FILL OUT THE INFORMATION BELOW:
[DELETE IF NOT APPLICABLE TO ROLE] For U.S. non-variable roles use the template below:
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $X - $X
USA base pay range (all other U.S. states) per year: $X - $X
[DELETE IF NOT APPLICABLE TO ROLE] For U.S. variable roles use the template below:
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA On Target Earnings (CA, WA, NY, NJ, CT) per year: $X - $X
USA On Target Earnings (all other U.S. states) per year: $X - $X
[DELETE IF NOT APPLICABLE TO ROLE] For CAN/GBR roles use the template below:
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. [IF APPLICABLE] For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
(CHOOSE ONE - CAN or GBR) base pay range per year: $X - $X
[DELETE IF NOT APPLICABLE TO ROLE] For POL roles use the template below:
Compensation & Benefits
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
POL base pay range per year: X zł - X zł
Additional benefits include:
• Type of employment: Contract of Employment
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups
• This role is eligible for creative tax benefits, subject to applicable law and company policy
[DELETE IF NOT APPLICABLE TO ROLE] For ESP roles use the template below:
Compensation & Benefits
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
ESP base pay range per year: €X - €X
Additional benefits include:
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups
[ONLY KEEP THIS IF WE DO NOT SPONSOR THE ROLE] Please note that visa sponsorship is not available for this position.
[REMOVE IF POSTING IS NOT REMOTE] LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Consumer Growth Experience Engineering (CGX) builds the platforms and end-to-end experiences that power Affirm’s consumer growth across push, email, app, and web. We own the core engagement surfaces and systems that help customers discover value, onboard seamlessly, and take confident next steps by using personalization, segmentation, and experimentation to deliver the right experience at the right moment.
Our work sits at the intersection of product, analytics, design, platform, and growth. We focus on building scalable, reliable tooling and consumer experiences that enable rapid go-to-market, improve conversion and activation, and grow long-term customer value. If you’re excited about shaping high-impact consumer journeys, solving ambiguous growth problems, and turning strategy into measurable outcomes at scale, CGX is the team for you.
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have experience leading significant mobile initiatives (React Native or native), including defining architecture, coordinating cross-functional launches, and maintaining high reliability in production environments.
· You have experience working across the React Native and native boundaries (Swift/Kotlin), debugging platform-specific issues and improving developer tooling, CI/CD, and release processes for mobile apps.
- You have experience implementing experimentation, feature flagging, and analytics instrumentation in mobile applications, ensuring safe rollouts and measurable impact.
· You have experience shipping web apps using declarative UI frameworks like React or Vue.
· You are proficient in working with Javascript/Typescript.
· You have a total of 4+ years of experience as a software engineer.
· You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
MANAGERS DOT NOT DELETE OR FILL OUT THE INFORMATION BELOW:
[DELETE IF NOT APPLICABLE TO ROLE] For U.S. non-variable roles use the template below:
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $X - $X
USA base pay range (all other U.S. states) per year: $X - $X
[DELETE IF NOT APPLICABLE TO ROLE] For U.S. variable roles use the template below:
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA On Target Earnings (CA, WA, NY, NJ, CT) per year: $X - $X
USA On Target Earnings (all other U.S. states) per year: $X - $X
[DELETE IF NOT APPLICABLE TO ROLE] For CAN/GBR roles use the template below:
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. [IF APPLICABLE] For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
(CHOOSE ONE - CAN or GBR) base pay range per year: $X - $X
[DELETE IF NOT APPLICABLE TO ROLE] For POL roles use the template below:
Compensation & Benefits
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
POL base pay range per year: X zł - X zł
Additional benefits include:
• Type of employment: Contract of Employment
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups
• This role is eligible for creative tax benefits, subject to applicable law and company policy
[DELETE IF NOT APPLICABLE TO ROLE] For ESP roles use the template below:
Compensation & Benefits
Pay Grade - 00
Equity Grade - 00
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
ESP base pay range per year: €X - €X
Additional benefits include:
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups
[ONLY KEEP THIS IF WE DO NOT SPONSOR THE ROLE] Please note that visa sponsorship is not available for this position.
[REMOVE IF POSTING IS NOT REMOTE] LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
DRW is seeking a
Senior Quantitative Trader (Delta One)
to join the FICCO options trading business. This individual will operate as an embedded quantitative research and trading lead within an established discretionary and systematic options platform, with a mandate to design, deploy, and scale futures-driven systematic strategies that complement and enhance the broader FICCO options franchise.
This role focuses on
delta-one strategy development
, systematic futures execution, portfolio hedging, and quantitative signal generation across global futures markets. The individual will partner closely with options traders to integrate futures-based signals, directional overlays, and risk-efficient hedging frameworks into the broader derivatives platform.
This position is suited for someone with demonstrated PnL ownership, deep quantitative expertise, and experience building scalable, systematic trading frameworks within derivatives markets.
Key Responsibilities
Design, develop, and deploy systematic
delta-one futures trading strategies
across global markets (rates, FX, commodities, equities)
Build and refine
delta-driven signal generation frameworks
to support both standalone futures strategies and options portfolios
Implement robust
futures-based hedging methodologies
to optimize portfolio risk across the FICCO options business
Develop and execute
directional options overlays
grounded in quantitative futures signals
Understand and manage risk across live strategies, including exposure, volatility, liquidity, and cross-asset correlations
Partner closely with developers and trading infrastructure teams to productionize models and optimize execution
Conduct rigorous research, backtesting, and performance attribution analysis
Continuously iterate on models to improve signal quality, scalability, and capital efficiency
Contribute to portfolio construction and capital allocation decisions within the FICCO platform
Qualifications
7+ years of experience in systematic trading, preferably in futures and listed derivatives
Proven track record of direct PnL ownership in a quant-driven trading environment
Strong understanding of derivatives pricing, volatility dynamics, and risk modeling
Deep experience in signal research, statistical modeling, and alpha generation
Fluency in Python and experience working with large-scale datasets
Strong knowledge of market microstructure and execution optimization
Ability to independently drive research while collaborating effectively within a trading team
Preferred Background
Experience trading across global futures markets (equities, rates, commodities, FX)
Experience integrating options strategies within systematic futures frameworks
Familiarity with portfolio construction, capital allocation, and risk budgeting models
Experience working within or alongside an options trading desk
Advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, or related field
The annual base salary range for this position is $150,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-JW1
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems.
A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion.
We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second.
The Manifesto: https://labs.baseten.co/manifesto
RECENT RESEARCH
- Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
RESPONSIBILITIES
- Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs.
- Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models).
- Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda.
- Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence.
- Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems.
- Mentor junior researchers and shape the technical direction of the research organization as it grows.
PREFERRED QUALIFICATIONS
- Master’s or PhD research depth in machine learning, with first-author publications at top venues
- Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work
- Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built
- Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years
- Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology)
- Track record of open-source contributions or community building in ML research
OUR VIEW ON TALENT
Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: New York City
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
About the Team
DRW C/Options Front Office Systems team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems.
We embed deeply with our customers to solve high-impact, complex problems.
We move quickly when we prototype, and we tread lightly when we ship to production.
We operate at the intersection of ensuring customer success and creating quality products that stand the test of time.
We work closely with Data Engineering, Research Engineering, and Execution Engineering.
About the Role
Software Engineers in Front Office Systems operate in two very distinct but organically interconnected modes.
During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge.
After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks.
In this role you will:
Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks
Take full ownership of the products you create, from prototype to stable production
Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions
Build, maintain and extend the central trading platform
Work with both greenfield and legacy systems across multiple languages (C++, Python, Typescript)
Provide on-call support as needed
Qualifications:
Up to 7 years of experience using C++ and Python and can work comfortably in multiple programming languages
A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments
Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity
Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment.
Experience in the financial markets, especially in delta one store of value and/or FICC options trading
Experience with linux-based, concurrent, high-throughput, low-latency software systems
Experience with functional programming is a plus
Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience
The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-BL1
Location: Greenwich
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
About the Team
DRW C/FICCO Front Office Systems team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems.
We embed deeply with our customers to solve high-impact, complex problems.
We move quickly when we prototype, and we tread lightly when we ship to production.
We operate at the intersection of ensuring customer success and creating quality products that stand the test of time.
We work closely with Data Engineering, Research Engineering, and Execution Engineering.
About the Role
Software Engineers in Front Office Systems operate in two very distinct but organically interconnected modes.
During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge.
After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks.
In this role you will:
Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks
Take full ownership of the products you create, from prototype to stable production
Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions
Build, maintain and extend the central trading platform
Work with both greenfield and legacy systems across multiple languages (C++, Python, Typescript)
Provide on-call support as needed
Qualifications:
Up to 7 years of experience using C++ and Python and can work comfortably in multiple programming languages
A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments
Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity
Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment.
Experience in the financial markets, especially in delta one store of value and/or FICC options trading
Experience with linux-based, concurrent, high-throughput, low-latency software systems
Experience with functional programming is a plus
Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience
The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-BL1
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location: US remote-friendly
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.
This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.
Responsibilities:
Design the Future of Ads Identity:
Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
Advance Lift Methodologies & Experimentation:
Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
Maximize Signal for Predictive Performance:
Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
Define Ground Truth & Evaluation Frameworks:
Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
Lead Through Cross-Functional and Technical Influence:
Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.
Qualifications:
Required:
Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
For M.S. holders: 10+ years of industry experience in applied science or data science roles
For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
Deep understanding of the ads ecosystem
Demonstrated expertise in at least one of the following areas:
Measurement & Experimentation at Scale (with focus on lift and attribution)
Identity Graph Creation & Resolution Methodology and Infrastructure
Predictive Modeling with Signal Loss
Advanced proficiency in statistical programming (Python or R) and SQL
Experience with machine learning or optimization techniques
Strong understanding of experimental design, causal inference, or A/B testing methodologies
Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
Experience working in fast-paced, ambiguous environments with cross-functional teams
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$217,000
—
$303,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - Ontario, Canada
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.
This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.
Responsibilities:
Design the Future of Ads Identity:
Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
Advance Lift Methodologies & Experimentation:
Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
Maximize Signal for Predictive Performance:
Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
Define Ground Truth & Evaluation Frameworks:
Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
Lead Through Cross-Functional and Technical Influence:
Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.
Qualifications:
Required:
Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
For M.S. holders: 10+ years of industry experience in applied science or data science roles
For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
Deep understanding of the ads ecosystem
Demonstrated expertise in at least one of the following areas:
Measurement & Experimentation at Scale (with focus on lift and attribution)
Identity Graph Creation & Resolution Methodology and Infrastructure
Predictive Modeling with Signal Loss
Advanced proficiency in statistical programming (Python or R) and SQL
Experience with machine learning or optimization techniques
Strong understanding of experimental design, causal inference, or A/B testing methodologies
Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
Experience working in fast-paced, ambiguous environments with cross-functional teams
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Comprehensive Medical Benefits & Health Care Spending Account
Registered Retirement Savings Plan with matching contributions
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Act as a primary point of accountability for customer trust enablement, including participation in customer meetings, security reviews and AI governance.
- Contribute to AI Governance including building guardrails to align with AI regulations (EU AI Act, ISO 42001, NIST AI RMF and local EU laws).
- Partner closely with Legal and Privacy to interpret regulatory requirements and support complex, security-sensitive contractual discussions, escalating risks and tradeoffs appropriately.
- Collaborate with Engineering and Product to ensure expectations are reflected in system design and operational effectiveness.
- Translate regulatory and privacy expectations into scalable, region-aware technical controls across model governance, agent security and safety, and data handling.
- Own and evolve customer-facing trust materials and narratives related to AI, privacy, and security.
- Represent Sierra in customer audits and formal assessments, clearly explaining security posture, governance decisions, and risk management approaches.
- Support resilience and response expectations as part of broader governance, with an emphasis on learning and continuous improvement.
- Continuously improve trust by identifying opportunities to streamline workflows, increase automation, and improve signal quality, while maintaining a high bar for accuracy and quality.
WHO YOU’LL WORK WITH
You will act as a strategic partner to Platform, Security, Product, Agent Development, Legal, and GTM, ensuring security and compliance requirements are embedded into architecture decisions, product roadmaps, and go to market execution while supporting product velocity and technical complexity.
WHAT YOU’LL BRING
- 8+ years of experience in security compliance, privacy, or regulatory roles in SaaS, fintech, or AI companies.
- Deep experience with EU regulatory frameworks, including GDPR, DORA, EU AI Act and emerging AI regulations, paired with strong awareness of US and APAC regulatory norms.
- Demonstrated ability to operate globally understanding where requirements must diverge and where alignment is possible.
- Experience engaging directly with enterprise and regulated customers as a trusted representative of security, privacy, and compliance.
- Ability to translate abstract or evolving regulatory requirements into defensible, real-world practices.
- Comfort operating in ambiguity, making reasoned judgment calls, and clearly articulating rationale and tradeoffs.
- Strong written and verbal communication skills, including close collaboration with Legal and external stakeholders.
EVEN BETTER...
- Direct experience preparing for or operationalizing DORA, EU AI Act or ISO/IEC 42001.
- Experience working in and/or supporting fintech or AI companies globally
- Familiarity with AI governance frameworks such as NIST AI RMF or CSA AI controls.
- Experience navigating cross-border data transfer, residency, and localization consideration in a multi-cloud environment.
- Prior experience in customer-facing, sales-adjacent, or deal-support contexts.
- Experience automating global security and compliance workflows.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports To: VP of Product
Location: Remote US
Compensation: $230,000 to $250,000
base plus bonus and equity
About the Role:
We are building a product management organization to own and drive our product strategy and are looking for an experienced product manager to join this growing team. As a Staff Product Manager at Huntress, you will assist the CTO in driving the success and expansion of our SIEM product launched in October 2024. We are not building yet another SIEM that intends to replicate what every other SIEM already does. We are building a SIEM that focuses on what really matters to our Small Enterprise and SMB partners. They don’t need a SIEM with all the advanced features and the costs that come with that; they need a SIEM that keeps the relevant data, reduces the noise, makes it easy to find what they need, doesn’t require full-time employees to manage, and works at a cost that fits their budget. This is an opportunity to upend the existing SIEM market for everyone who wants or needs a SIEM but whose current solutions don’t work.
This position offers the chance to help scale the vision of an already wildly successful company past $200M and beyond, sustaining and building on a remarkable existing growth rate. You will make an impact on the vision, goals, and, in partnership with other functions, execution of a SaaS offering (like other Huntress products) that keeps SMB and mid-market customers safe and secure with cutting-edge capabilities currently only found in the largest enterprises. You will work very closely with the company founders, product leaders, engineering leaders, support, sales, and marketing teams, as well as other Product Managers.
To be successful in this position, you must possess a combination of strong business acumen and technical skills to bridge customer business requirements with trends in the threat landscape. You’ll be asked to frequently interact with customers, prospects, and industry analysts to articulate our value proposition.
What You’ll Do:
Work with the Portfolio Leader and relevant stakeholders to assist in setting the SIEM product vision and strategy, and clearly articulate the business value so that everyone understands where we are headed
Analyze market trends and perform competitor analysis and research in order to drive strategy as well as pricing and the product roadmap
Demonstrate an ability to decipher and articulate potentially ambiguous client needs and mold them into successful, innovative solutions that surprise and delight the customer
Work with designers, engineers, and architects to create detailed business requirements, epics, and user stories that will be used to shape product specifications and architecture
Prioritize features by assessing their alignment with the broader product strategy and initiatives, as well as unmet market needs
Participate as a key contributor in all phases of product development, from discovery to launch
Drive and manage product roadmap and go-to-market strategy by working closely with marketing, sales, and executive leadership teams
Collaborate with marketing and other key stakeholders to drive and execute product launches to market
Derive feedback and insights from customers through face-to-face interaction and collaboration throughout the product development lifecycle
Serve as the intermediary between engineering and senior management and other non-technical stakeholders, with the ability to break down and translate highly technical information into layman's terms and vice versa
Drive high-level strategic initiatives and execution while possessing a willingness to dig into the weeds
Work with design and engineering teams to produce mockups, wireframes, and prototypes to assess the validity and strength of a new product or feature idea.
Manage and drive results from user experience testing and gain crucial insights into how customers use (or don’t use) the platform
In partnership with product operations, provide product metrics, including conversion rate, churn rate, and monthly recurring revenue, etc., to track and evaluate the success of the product strategy
What You Bring To The Team:
7+ years of experience in a product management role with past responsibility for SIEM products; bonus for SOAR Products
Demonstrated success driving longer-term vision and strategy that resulted in outperformance
Experience leading product innovation, feature ideation, delivery, and launch
Demonstrated experience designing and delivering products utilizing artificial intelligence tools and technologies, such as Claude or similar
Experience working in an agile development environment using agile development tools
Leverage excellent written and verbal communication skills to create epics and stories for engineering that align engineers with intended outcomes
Experience with products delivered from AWS or other cloud environments
Strong creative and critical thinking abilities
Experience building products for the SMB is a significant benefit
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
- Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day.
- Engage with customers: In the role, you will engage with all levels of our customers’ businesses:
- Discover and assess their requirements.
- Prepare and present demonstrations of Sierra’s agent.
- Address and overcome technical challenges in the business process by working with technical counterparts.
- Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes.
- Become trusted advisors and drive strategic technical strategies for our customers.
- Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers.
WHAT YOU'LL BRING
- 5-7+ years experience in product development of highly technical products.
- Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager.
- Experience crafting and tailoring a message for potential customers, including executives.
- Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments.
- Degree in a technical or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (experience with product development for AI agents a plus).
- Some coding experience with React, Typescript, and Go.
- MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles).
- Past roles that interface with end customers to influence software development.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Remote, Germany, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for an Account Executive, Enterprise who will be responsible for generating new business pipeline and expansion and closing new customers in the Enterprise segment (Top Accounts in Germany). This includes identifying specific projects where Fivetran can add value.
This is a full-time, remote position based out of Germany.
What You'll do
Generate new business qualified opportunities by working with Tech Partners, SI Partners, XDRs, going direct outbound on named accounts in territory
Actively pitch the value proposition of Fivetran’s Database replication capabilities along with the Fivetran platform at-large
Manage 90-180 day sales cycles with multiple stakeholders and departments to land in an enterprise organization
Negotiate responsible deals and manage the procurement process with legal, deal desk, and deal champions
Develop trusted relationships with internal stakeholders and senior decision makers at large organizations who will evangelize Fivetran throughout their company
As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process.
Skills We're Looking For
A minimum of 8 years' experience in new business sales, demonstrating a track record of success in selling to enterprise-level organizations.
Have the vision to succeed
Plan the vision by a strategy through territory and account planning
Drive pipeline generation with ecosystem
Land customers as soon as possible
Sell services to help offload onboarding
Proficient in sales within the Data industry.
Capable of effectively utilising both inside and outside sales approaches to secure deals.
Demonstrated proficiency in generating new business-qualified opportunities across diverse channels.
#LI-LA1
#LI-REMOTE
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
€105.019
—
€131.274 EUR
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.
The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.
You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.
The ideal candidate will be able to:
Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.
Key Responsibilities:
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
Proactively identify new use cases and capabilities as AI technology evolves.
Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.
Qualification and Experience:
Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
Experience with signal generation, backtesting, or systematic strategy development.
Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
Experience building AI agents is a strong plus.
Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.
The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-SK1]
ГибридSan Francisco; New York
УдалённоRemote - United States
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