Location: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
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
.
The
Reddit Consumer Engineering
organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit.
This centralized role hires across several high-impact consumer teams, including:
Core Product & Feeds:
Home Experience, Recommendations & Content Discovery, Content Contribution
Community & Presence:
Reddit Pro, Youth Experience & Teen Safety, Creator Tools
Growth & Engagement:
Authentication, Notifications, Social Sharing, SEO, Onboarding.
Monetization & Conversion:
Paid User Acquisition, Conversion Funnel Optimization
Identity & Security:
Account Management, Trust & Safety
What You’ll Do
Cross-Functional Product Architecture:
Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions.
End-to-End Delivery:
Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability.
Metrics & Experimentation-Led Engineering:
Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions.
API & System Performance:
Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance.
Technical Rigor & Modern Tooling:
Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently.
Who You Are
User-Centric Mindset:
An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about
why
a feature is being built and its impact on the end user.
Data-Informed & Hypothesis-Driven:
Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback.
Technical Rigor at Scale:
5+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments.
Bias for Action:
Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential.
Collaborative Communicator:
Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments.
Technical Qualifications
Languages:
Proficiency in modern backend languages such as
Go
or
Python
(or Java, Kotlin, Rust, C++).
API Design:
Expertise in designing and maintaining scalable, maintainable APIs using
GraphQL
,
REST
, or
gRPC
for native mobile and web applications.
Data & Caching:
Experience with high-throughput caching layers and distributed datastores (e.g.,
Redis
,
Cassandra
,
PostgreSQL
).
Modern Workflows:
Experience or interest in using AI-assisted engineering tools to accelerate development workflows.
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
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:
$190,000
—
$267,000 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: Spain, Remote
Workplace: remote
Introduction to the Team & Role
What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?
GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.
We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.
You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.
This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy.
Key Responsibility Areas
Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement.
Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself
Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility.
Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems
Set a high bar for documentation, testing and deployment — and hold it without slowing the team down.
Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards.
Drive adoption and change management for new GTM capabilities across distributed teams.
What You'll Do
Within 1 month, you will:
Know the team, the stack, and the cross-functional leaders and teams you’ll partner with.
Understand the main business challenges and opportunities for each GTM function.
Own the team's current quarterly objectives and the routines that keep them visible.
Within 3 months, you will:
Have audited one GTM function end to end and shipped a first AI use case with its business owner.
Have a first GTM AI roadmap, agreed with the stakeholders and the team.
Have taken one major cross-functional change from plan to done.
Have mapped your functional scope end to end and shipped a first AI use case with its business owner.
Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan.
Within 6 months, you will:
Have each team member working from a roadmap you challenged and helped build.
Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch.
Within 12 months, you will:
Show, in numbers, the capacity the commercial organization reinvested because of what the team built.
Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member.
The Skill Set
Must have
GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language.
4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders.
You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't.
A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases.
You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people.
You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook.
Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine.
Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly.
Have enough technical judgment to challenge an architect's design, without owning the architecture yourself
Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care.
Fluent English (US/UK) / B2 level or equivalent (FR).
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
Nice to have
Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors.
Deep expertise in Salesforce or marketing automation tools.
A background in RevOps or GTM operations.
Experience managing or coaching a team.
What We Offer
Compensation:
Package includes base salary and a variable component 📈
Benefits:
Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies.
Balance:
Flexible hours, Total work from home possible anywhere in Spain 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Call with the Talent Acquisition Manager
Discovery Interview with the Hiring Coach (VP of Operations)
Case Study with the Hiring Coach and future Team
Clarification Interview with Future Direct Reports
Convexity Culture Interview
Offer!
Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: London, Remote
Workplace: remote
Introduction to the Team & Role
What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?
GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.
We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.
You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.
This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy.
Key Responsibility Areas
Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement.
Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself
Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility.
Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems
Set a high bar for documentation, testing and deployment — and hold it without slowing the team down.
Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards.
Drive adoption and change management for new GTM capabilities across distributed teams.
What You'll Do
Within 1 month, you will:
Know the team, the stack, and the cross-functional leaders and teams you’ll partner with.
Understand the main business challenges and opportunities for each GTM function.
Own the team's current quarterly objectives and the routines that keep them visible.
Within 3 months, you will:
Have audited one GTM function end to end and shipped a first AI use case with its business owner.
Have a first GTM AI roadmap, agreed with the stakeholders and the team.
Have taken one major cross-functional change from plan to done.
Have mapped your functional scope end to end and shipped a first AI use case with its business owner.
Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan.
Within 6 months, you will:
Have each team member working from a roadmap you challenged and helped build.
Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch.
Within 12 months, you will:
Show, in numbers, the capacity the commercial organization reinvested because of what the team built.
Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member.
The Skill Set
Must have
GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language.
4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders.
You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't.
A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases.
You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people.
You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook.
Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine.
Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly.
Have enough technical judgment to challenge an architect's design, without owning the architecture yourself
Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care.
Fluent English (US/UK) / B2 level or equivalent (FR).
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
Nice to have
Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors.
Deep expertise in Salesforce or marketing automation tools.
A background in RevOps or GTM operations.
Experience managing or coaching a team.
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Call with the Talent Acquisition Manager
Discovery Interview with the Hiring Coach (VP of Operations)
Case Study with the Hiring Coach and future Team
Clarification Interview with Future Direct Reports
Convexity Culture Interview
Offer!
Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Berlin, Remote
Workplace: remote
Introduction to the Team & Role
What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?
GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.
We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.
You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.
This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy.
Key Responsibility Areas
Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement.
Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself
Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility.
Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems
Set a high bar for documentation, testing and deployment — and hold it without slowing the team down.
Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards.
Drive adoption and change management for new GTM capabilities across distributed teams.
What You'll Do
Within 1 month, you will:
Know the team, the stack, and the cross-functional leaders and teams you’ll partner with.
Understand the main business challenges and opportunities for each GTM function.
Own the team's current quarterly objectives and the routines that keep them visible.
Within 3 months, you will:
Have audited one GTM function end to end and shipped a first AI use case with its business owner.
Have a first GTM AI roadmap, agreed with the stakeholders and the team.
Have taken one major cross-functional change from plan to done.
Have mapped your functional scope end to end and shipped a first AI use case with its business owner.
Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan.
Within 6 months, you will:
Have each team member working from a roadmap you challenged and helped build.
Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch.
Within 12 months, you will:
Show, in numbers, the capacity the commercial organization reinvested because of what the team built.
Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member.
The Skill Set
Must have
GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language.
4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders.
You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't.
A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases.
You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people.
You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook.
Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine.
Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly.
Have enough technical judgment to challenge an architect's design, without owning the architecture yourself
Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care.
Fluent English (US/UK) / B2 level or equivalent (FR).
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
Nice to have
Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors.
Deep expertise in Salesforce or marketing automation tools.
A background in RevOps or GTM operations.
Experience managing or coaching a team.
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits:
Work From Home perks, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, Total work from home possible anywhere in Germany 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Call with the Talent Acquisition Manager
Discovery Interview with the Hiring Coach (VP of Operations)
Case Study with the Hiring Coach and future Team
Clarification Interview with Future Direct Reports
Convexity Culture Interview
Offer!
Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Paris, Remote
Workplace: remote
Introduction to the Team & Role
What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?
GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.
We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.
You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.
This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy.
Key Responsibility Areas
Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement.
Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself
Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility.
Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems
Set a high bar for documentation, testing and deployment — and hold it without slowing the team down.
Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards.
Drive adoption and change management for new GTM capabilities across distributed teams.
What You'll Do
Within 1 month, you will:
Know the team, the stack, and the cross-functional leaders and teams you’ll partner with.
Understand the main business challenges and opportunities for each GTM function.
Own the team's current quarterly objectives and the routines that keep them visible.
Within 3 months, you will:
Have audited one GTM function end to end and shipped a first AI use case with its business owner.
Have a first GTM AI roadmap, agreed with the stakeholders and the team.
Have taken one major cross-functional change from plan to done.
Have mapped your functional scope end to end and shipped a first AI use case with its business owner.
Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan.
Within 6 months, you will:
Have each team member working from a roadmap you challenged and helped build.
Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch.
Within 12 months, you will:
Show, in numbers, the capacity the commercial organization reinvested because of what the team built.
Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member.
The Skill Set
Must have
GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language.
4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders.
You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't.
A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases.
You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people.
You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook.
Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine.
Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly.
Have enough technical judgment to challenge an architect's design, without owning the architecture yourself
Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care.
Fluent English (US/UK) / B2 level or equivalent (FR).
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
Nice to have
Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors.
Deep expertise in Salesforce or marketing automation tools.
A background in RevOps or GTM operations.
Experience managing or coaching a team.
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Call with the Talent Acquisition Manager
Discovery Interview with the Hiring Coach (VP of Operations)
Case Study with the Hiring Coach and future Team
Clarification Interview with Future Direct Reports
Convexity Culture Interview
Offer!
Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Germany
Responsibilities
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
Desirable Skills, Knowledge, and Experience
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Business Fluency in German
Bonus Points
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Compensation
For Germany based hires: Estimated annual salary is between €116,000 - €182,000.
This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.
Equity: This role is eligible to participate in Cloudflare's equity plan.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Germany
Responsibilities
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value. You'll guide startup and AI customers from the first conversation about their AI ambitions through technical validation, production deployment, and long-term adoption and expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the Startup AI segment.
Technical Discovery & Validation:
Partner closely with Account Executives to lead technical deep-dive discovery and uncover what kind of AI problem a customer actually has. It might be building AI products and agents, governing how their people and agents use AI, or protecting internet-facing applications from AI-driven threats and traffic. Turn that into a sequenced plan rather than a feature tour. Capture business requirements and map startup and AI customer infrastructure (DNS, CDN, Zero Trust, Network Security, serverless and edge compute) to fit-for-purpose Cloudflare architectures and bespoke solutions. Define scope, success criteria, and technical evaluation plans for Proofs of Concept (PoCs) and Technical Validations, anchored in measurable quality, latency, and cost targets rather than subjective impressions. Rapidly build working, customer-specific prototypes. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, reliability, and scale challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional Services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Oversee technical onboarding and implementation without executing it yourself, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer's environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance). Act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Guide customers in taking AI applications and agents from prototype to production in a way that is reliable, safe, and affordable. That covers durable state and failure recovery for long-running agents; secure agent design such as defenses against prompt injection, scoped access, and human approval for sensitive actions; and the right model choices for each task. After go-live, help customers keep AI workloads healthy through tracing, quality and cost monitoring, and safe rollout of model and prompt changes, feeding production learnings back into evaluation. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk as customers move from early-stage development to production scale.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data and the evolving needs of startup and AI customers. Translate AI spend into clear business cases, such as cost per task or per resolved request. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for founders, C-level executives, and engineering leaders.
Ecosystem & Business Development:
Help build and grow Cloudflare's presence in the startup and AI ecosystem. Develop relationships with incubators, accelerators, venture capital firms, founder communities, and developer meetups to generate new pipeline alongside Account Executives. Represent Cloudflare at startup events, demo days, and hackathons, and identify high-potential AI startups early in their journey.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with founders, CTOs, engineering leaders, and other key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, agent design, AI governance and compliance (e.g. GDPR, EU AI Act, data residency), security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Use AI agents, coding agents, Large Language Models (LLMs), and internal platforms as a default way of working. Automate routine tasks such as meeting preparation, RFP/Security Questionnaire responses, sandbox provisioning, demo setup, basic telemetry monitoring, and internal/external documentation, so you have more time for strategic customer advisory. Apply AI-assisted workflows to support customer engineering teams and improve the speed and quality of technical validation. Share hands-on learnings and gaps with product teams as a direct feedback channel.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Support technical enablement for startup and AI customers through workshops, code samples, documentation, and developer onboarding.
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
Desirable Skills, Knowledge, and Experience
Experience:
Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Experience working with startups, AI companies, digital-native businesses, or as part of a startup engineering team is strongly valued.
Startup Ecosystem Network:
An established network within incubators, accelerators, venture capital, and the broader startup scene is highly desirable, along with the drive to take on business development activities and open doors to new relationships.
Architectural Mindset:
Ability to white-board, design, and articulate complex enterprise, startup, AI application, agent, network, and security architectures clearly.
Consultative & Advisory Skills:
Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives, founders, and technical leaders.
Commercial Mindset:
Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise, mid-market, or startup sales cycles.
Communication:
Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Business fluency in German is required.
Technical Breadth:
We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals:
Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security:
Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance:
Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Engineering:
Solid grounding in AI model fundamentals (model size, context length, reasoning models, fine-tuning versus prompting, and matching the right model to the job). Familiarity with common agent patterns, including knowing when a simple workflow beats an agent, and with open agent frameworks and standards such as MCP. Understanding of how to evaluate and operate AI systems in production.
AI-Augmented Workflows:
Familiarity with prompt engineering, building prototypes with coding agents, AI-assisted scripting and log analysis, and workflow automation to augment everyday CE workflows.
Coding/Scripting:
Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency:
Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Bonus Points
Technical Enablement:
Track record of creating and delivering technical enablement (workshops, code samples, documentation, or developer onboarding) that accelerates customer adoption of complex platforms.
Applied AI Knowledge:
Hands-on experience with retrieval and knowledge systems (RAG, embeddings, reranking, agentic search), domain adaptation through lightweight fine-tuning, sandboxed execution environments for agents that write and run code, LLM orchestration, or model-access controls.
AI Traffic & the Agentic Web:
Understanding of how AI crawlers and agents interact with internet-facing applications: protecting AI endpoints, managing bot and agent access, and exposing services to agents.
Regulatory Knowledge:
Understanding of regulatory requirements such as PCI DSS, HIPAA, SOC 2, GDPR, and the EU AI Act.
Hyperscaler / Digital Native / Startup Background:
Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency, advanced architecture depth, and ability to operate effectively in fast-moving, ambiguous environments.
Compensation
For Germany based hires: Estimated annual salary is between €116,000 - €182,000.
This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.
Equity: This role is eligible to participate in Cloudflare's equity plan.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Задачи:
— Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA
— Проводить анализ корневых причин с использованием Grafana, Datadog (логи, метрики, трассировки)
— Создавать дашборды мониторинга и проактивные оповещения
— Писать скрипты на Python для автоматизации и массовых операций
— Активно использовать AI-инструменты (Claude, Cursor, ChatGPT) для ускорения устранения проблем
Требования:
— Опыт ежедневной работы с LLM и prompt engineering
— Практические навыки работы с Grafana/Datadog (создание дашбордов и оповещений)
— Скриптинг на Python и хорошее понимание распределённых систем
— Опыт работы 2+ года в TechOps/технической поддержке (FinTech/Forex/Crypto будет плюсом)
— Отличное владение английским языком (C1+)
Условия:
— Удалённая работа, предпочтительно в часовом поясе GMT+5 - GMT+8
— Работа в англоязычной команде
УдалённоmiddleLocation: Remote (preferably close to GMT+5 - GMT+8 timezone); 🌍 Формат работы: удаленно, РФ, московский часовой пояс
Location: Karachi, Pakistan; Lahore, Pakistan; Islamabad, Pakistan
Top 3 Reasons To Join Us
Competitive Salary
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do
Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions
Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages
Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience.
Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience
Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality
Investigate and promptly fix bugs to maintain the reliability of the platform
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data
Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative
Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows
Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals
What We Need
Proven experience 6 years as a Full Stack Engineer, working on complex SAAS applications
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications
Experience with microservices and/or clean architecture
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code
Experience with unit, integration and function testing using front-end and back-end testing libraries
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations
Demonstrated experience in performance optimization for high-traffic web applications
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.
Experience with agile development methodologies and collaborating with cross-functional teams
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds
A passion for staying updated with the latest trends, technologies, and best practices in software development
Why You'll Love Working Here
Competitive renumeration package
International Environment
15 days annual leave, 10 sick leaves, special leaves
Annual Performance Bonus
Stock Options after 6 months
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
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
.
The
Reddit Consumer Engineering
organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit.
This centralized role hires across several high-impact consumer teams, including:
Core Product & Feeds:
Home Experience, Recommendations & Content Discovery, Content Contribution
Community & Presence:
Reddit Pro, Youth Experience & Teen Safety, Creator Tools
Growth & Engagement:
Authentication, Notifications, Social Sharing, SEO, Onboarding.
Monetization & Conversion:
Paid User Acquisition, Conversion Funnel Optimization
Identity & Security:
Account Management, Trust & Safety
What You’ll Do
Cross-Functional Product Architecture:
Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions.
End-to-End Delivery:
Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability.
Metrics & Experimentation-Led Engineering:
Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions.
API & System Performance:
Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance.
Technical Rigor & Modern Tooling:
Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently.
Who You Are
User-Centric Mindset:
An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about
why
a feature is being built and its impact on the end user.
Data-Informed & Hypothesis-Driven:
Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback.
Technical Rigor at Scale:
7+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments.
Bias for Action:
Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential.
Collaborative Communicator:
Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments.
Technical Qualifications
Languages:
Proficiency in modern backend languages such as
Go
or
Python
(or Java, Kotlin, Rust, C++).
API Design:
Expertise in designing and maintaining scalable, maintainable APIs using
GraphQL
,
REST
, or
gRPC
for native mobile and web applications.
Data & Caching:
Experience with high-throughput caching layers and distributed datastores (e.g.,
Redis
,
Cassandra
,
PostgreSQL
).
Modern Workflows:
Experience or interest in using AI-assisted engineering tools to accelerate development workflows.
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
—
$303,000 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 Infrastructure organization enables Reddit to deliver reliability, performance, and efficiency with a single opinionated technology stack. The Ingestion Platform team within Infrastructure builds a low-code interface for moving data from supported sources to supported sinks, making it easier for teams across Reddit to create reliable, scalable data pipelines without building and operating bespoke infrastructure. Our platform supports streaming and batch data movement from Kafka to destinations such as BigQuery and object storage, and is expanding toward S3/GCS, Apache Iceberg, transformations, deduplication, and additional sinks. We work closely with Data Pipelines, Data Movement, Ads Data Platform, ML Indexing, Flink Platform, Storage, and other partner teams to improve developer velocity, reliability, observability, and operational efficiency.
We are looking to hire a Staff Software Engineer to help shape and scale this platform. This is a high-impact role where your technical judgment, customer empathy, and operational mindset will influence the future direction of data movement at Reddit.
What You’ll Do:
As a Staff Engineer, you will lead the development and evolution of Reddit’s Ingestion Platform.
Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads, with a focus on availability, scalability, latency, correctness, and cost efficiency.
Own the architecture and evolution of the platform’s control plane and data plane, including pipeline APIs, controllers, connectors, target managers, schemas, and sink integrations.
Expand the platform beyond Kafka-to-BigQuery by helping deliver production-ready paths to S3/GCS and Apache Iceberg, as well as transformations, deduplication, dead-letter queues, and other reusable capabilities.
Build high-quality connectors and abstractions for systems such as Kafka, BigQuery, S3, GCS, Iceberg, Flink, and other data stores, while keeping the platform modular and easy to extend.
Improve the self-service experience for platform users through clear APIs, safe defaults, automated provisioning, documentation, onboarding workflows, and actionable observability and alerting.
Lead migrations from bespoke and legacy ingestion systems to the Ingestion Platform, partnering with teams such as Ads Data Platform and ML Indexing to make migrations safe, incremental, and low-touch.
Establish strong reliability, security, and operational practices for pipelines running across Kubernetes clusters, including schema evolution, workload identity, permissions, deployment safety, monitoring, and incident response.
Identify gaps in the platform’s architecture and product experience, and lead redesigns that improve developer velocity and enable Reddit’s continued growth.
Work collaboratively with engineers and stakeholders across Infrastructure, Data Platform, Product, Ads, ML, Storage, and partner teams to align roadmaps and deliver durable solutions.
Mentor and guide backend and data infrastructure engineers across the company, raising the bar for technical design, operational excellence, and customer focus.
Who You Might Be:
10+ years of hands-on experience building internet-scale distributed systems, data infrastructure, or platforms used by other developers.
BS, MS, PhD in Computer Science, a related field, or equivalent practical experience.
Strong software development experience in one or more general-purpose languages such as Go, Python, Java, or Scala.
Deep experience designing and operating high-throughput, fault-tolerant data pipelines or platform services, including streaming and batch processing.
Experience with data movement patterns and systems such as Kafka, BigQuery, S3, GCS, Apache Iceberg, Flink, or comparable technologies.
Experience designing APIs and platform abstractions, including schema evolution, serialization formats such as Protocol Buffers, and service-to-service communication such as gRPC.
Familiarity with Kubernetes and cloud-native platform concepts, including controllers, custom resources, workload identity, infrastructure automation, and multi-cluster deployments.
A strong understanding of observability and operational excellence: metrics, logging, alerting, SLOs, incident response, data quality, and safe migration practices.
A product-minded engineer who advocates for platform users and can turn ambiguous customer and partner needs into simple, reliable, and scalable solutions.
Demonstrated technical leadership and a history of guiding teams through complex, cross-functional initiatives with meaningful impact.
Exceptional written and verbal communication skills, with the ability to collaborate effectively across engineering teams and stakeholders.
Experience building low-code or self-service developer platforms, or curiosity to learn, is a strong plus.
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: San Francisco, CA, USA
About the role
As a
Senior Software Engineer
on the
AI Enablement
team, you will build the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime.
You’ll work on systems like
Archimedes
,
Bosun
, and
easyRAG
that power internal AI assistants, developer workflows, and retrieval-backed applications. These platforms make it easier for teams across the company to build, adopt, and scale LLM-powered tools safely and effectively.
This team defines Chime’s
golden paths for AI
: opinionated but flexible patterns that help teams move quickly while maintaining safety, reliability, cost control, and governance. In this role, you’ll help turn emerging AI capabilities into durable, reusable platform features that can be adopted across the company.
You’ll partner closely with
Platform Engineering, Security, Risk, Legal, and product teams
to build scalable, well-governed systems that support internal AI use cases from early prototyping through production adoption.
In this role, you can expect to
Build and evolve internal AI platforms such as
Archimedes, Bosun, and easyRAG
, enabling teams to develop and scale LLM-powered applications and workflows
Design and implement reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to build safe, high-quality AI-powered tools
Prototype and productionize new AI capabilities, identifying high-leverage use cases and turning successful patterns into durable platform features
Define and improve Chime’s
golden path
patterns for LLM usage, balancing developer velocity with safety, reliability, and cost efficiency
Develop systems that let teams launch AI-powered assistants and workflows in a standardized, observable, and governed way
Establish evaluation, observability, and cost-management practices across AI systems, including quality, latency, safety, and spend
Partner with Security, Risk, and Legal to implement practical guardrails for responsible AI development and usage
Drive consistency and standardization in how AI systems are built, deployed, and operated across the company
Collaborate with engineers and partner teams across Chime to embed AI into internal tools, workflows, and employee experiences
To thrive in this role, you have
Significant experience as a software engineer building distributed systems, platform services, or internal developer tools
Hands-on experience building with LLMs or ML services and shipping production-quality features on top of them
Strong coding skills in at least one of
Python, Go, or TypeScript/JavaScript
, with comfort working across services, CLIs, and internal tooling
A platform mindset: you think in reusable primitives, contracts, and paved roads rather than one-off solutions
Familiarity with AI-specific engineering concerns such as evaluation, prompt and version management, observability, cost control, safety, and data privacy
Experience partnering with cross-functional stakeholders such as Security, Risk, Product, and Operations, and influencing direction through strong technical judgment
Strong written and verbal communication skills, with the ability to explain technical tradeoffs clearly to both technical and non-technical audiences
Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.
#LI-Remote
#LI-WW1
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$164,000
—
$227,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: Bengaluru, India
Workplace: Hybrid
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
About the Role
We're looking for a software engineer who ships fast without dropping quality. You'll own features end-to-end with support from senior engineers, learn how AI systems behave in production, and see your work reach customers within days rather than quarters. The Bengaluru team is product engineering, so everything you build is customer-facing.
What You'll Do
- Development & Implementation - Build scalable backend services, APIs, and AI-powered features using TypeScript/Node.js, Python, and cloud platforms.
- Collaboration & Learning - Work closely with senior engineers, participate in code reviews, and contribute to technical and architecture discussions.
- Product Integration - Partner with Product, Design, and Customer Success to translate requirements into robust, customer-facing solutions.
Specifically, you'll:
- Build and ship features end-to-end, from backend services to customer-facing interfaces.
- Work on AI-powered workflows: prompt design, evaluation, and the systems that make LLMs reliable in production.
- Build integrations with CRM systems, scheduling platforms, and third-party communication tools.
- Fix real customer problems, often with a short loop between report and fix going live.
- Write comprehensive tests, add monitoring, and take ownership of what you ship after it ships.
- Participate in on-call rotation and incident response to ensure system reliability.
- Take loosely defined problems, ask the right questions, and drive them to done with minimal hand-holding.
Work Environment & Schedule
- Hybrid, based in Bengaluru - regular office presence expected for collaboration and team coordination.
- Some overlap with US business hours may be needed for client coordination and project work.
What You'll Bring
- 2+ years of software engineering experience, ideally full-stack, including at least 1 year in a fast-paced startup or growth-stage environment.
- Strong programming skills in modern JavaScript/TypeScript and Python, with backend development experience.
- Hands-on experience with AWS or GCP and modern deployment practices.
- Experience building and maintaining RESTful APIs and understanding of service-oriented architectures.
- Comfort working with SQL databases at scale.
- A track record of fast, high-quality execution - you move quickly and your work holds up.
- Self-driven: you unblock yourself, chase down context, and don't need work broken into small pieces.
- Comfort with ambiguity and changing requirements in a fast-moving startup.
- Curiosity about AI and LLMs - direct experience is a plus, appetite to learn is required.
- Low ego, high energy, and a bias toward shipping.
Bonus Points
- Experience with AI/ML technologies, LLMs, or conversational AI systems.
- Background in B2B SaaS or enterprise software.
- Previous startup experience or exposure to rapid scaling.
- Contributions to open source or active developer community participation.
- Experience with real-time systems, or event-driven architectures.
- Familiarity with Docker/containerization and orchestration tools.
Why Avoca
- Compensation in line with industry standards and above.
- Direct impact - your code powers thousands of businesses and millions of customer interactions.
- Accelerated learning - work on cutting-edge AI technology with experienced mentors.
- Clear paths for advancement as the company and team scale.
- A fast-moving, collaborative culture built for builders who thrive on speed, iteration, and impact.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Beijing, China
About the Role
At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion.
Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking, Zero Trust and Developer Platforms).
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion.
Strategic Alignment:
Own the long-term technical relationship across the entire customer lifecycle, ensuring continuous alignment between the customer’s evolving business goals and our product roadmap.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
AI Orchestration & Workflow Automation:
Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory.
Minimum Qualifications
Experience:
Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer.
Technical Acumen:
Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture.
Commercial Mindset:
Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication:
Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Strongly Preferred Qualifications (The "Good-to-Haves")
Cloudflare Developer Stack Experience:
Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI and AI Gateway.
Applied AI Knowledge:
Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures.
Coding/Scripting:
Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Compensation
This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: 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.
The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence.
In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable.
What you’ll do
You will lead and continuously improve Affirm's enterprise AI security review process evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase.
You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation.
You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch.
You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforce and automate AI security.
You will evaluate the AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews and drive risk-based adoption decisions.
You will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI-specific incident response playbooks as a senior escalation point.
You will lead cross-functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controls.
What we look for
You are a seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems, plus deep expertise in enterprise security systems, processes, and controls.
You have practical experience threat modeling and reviewing AI/LLM applications (e.g., against the OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries.
You have built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (e.g., Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews.
You have experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with the corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira).
You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS.
You understand how LLMs and agentic systems are built (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access, with strong application-architecture and threat-modeling fundamentals.
You can lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus.
This posting is for an existing vacancy
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
Base Pay Grade
- P
Equity Grade
- 7
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).
CAN base pay range per year:
$173,000 - $233,000
#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.
The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence.
In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable.
What you’ll do
You will lead and continuously improve Affirm's enterprise AI security review process evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase.
You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation.
You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch.
You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforce and automate AI security.
You will evaluate the AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews and drive risk-based adoption decisions.
You will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI-specific incident response playbooks as a senior escalation point.
You will lead cross-functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controls.
What we look for
You are a seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems, plus deep expertise in enterprise security systems, processes, and controls.
You have practical experience threat modeling and reviewing AI/LLM applications (e.g., against the OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries.
You have built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (e.g., Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews.
You have experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with the corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira).
You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS.
You understand how LLMs and agentic systems are built (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access, with strong application-architecture and threat-modeling fundamentals.
You can lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus.
Base Pay Grade - P
Equity Grade - 13
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:
$220,000 - $280,000
USA base pay range (all other U.S. states) per year:
$195,000 - $255,000
#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.
Задачи:
• Формировать AI-стратегию и roadmap бизнес-направления.
• Находить наиболее перспективные точки применения AI.
• Самостоятельно запускать первые прототипы и AI-пилоты.
• Быстро проверять гипотезы и показывать первые измеримые результаты.
• Создавать AI-агентов, RAG-решения и AI-автоматизации.
• Формировать и приоритизировать портфель AI-инициатив.
• Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования.
• Переосмысливать бизнес-процессы с учетом возможностей AI.
• Работать с руководителями бизнес-направлений и защищать AI-инициативы.
• Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах.
Требования:
• 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation.
• Практический опыт запуска AI/ML или технологических продуктов.
• Сильное понимание LLM, Generative AI, AI Agents и RAG.
• Способность самостоятельно собрать работающий AI-прототип.
• Product mindset и ориентация на быстрый результат.
• Стратегическое мышление и способность формировать AI-roadmap.
• Умение связывать технологии с конкретным бизнес-эффектом.
• Опыт работы с руководителями и топ-менеджментом.
• Высокая самостоятельность и ответственность за результат.
AI-инструменты и технические навыки:
• Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM.
• Работа с LLM API, Prompt Engineering, Tool/Function Calling.
• Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов.
• Практическое понимание RAG, embeddings, vector databases.
• Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов.
• Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов.
• Опыт работы с n8n, Make или другими инструментами автоматизации.
• Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных.
Кого мы ищем:
• Не классического бизнес-аналитика или координатора.
• Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой.
Главный результат:
• Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.
ОфисseniorАстана
УдалённоseniorRemote - United States
УдалённоheadSpain, Remote
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