Location: United Kingdom; Bulgaria; Ukraine; Poland; Hungary; Czechia; Ireland
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
The role
ClickUp's Cloud Platform team builds scalable, secure, and cost-efficient AWS infrastructure, with a heavy focus on Amazon EKS, that stays ahead of product and enterprise growth. Our goal: product velocity is never blocked by platform constraints. As a Senior Software Engineer, you leverage AI to design, build, and operate the compute, networking, and infrastructure-as-code foundation that powers ClickUp for millions of users.
What you'll do
- Build and scale AWS infrastructure and reusable platform abstractions that simplify development, with a strong focus on Amazon EKS, networking, and self-hosted services.
- Identify improvement opportunities and emerging risks, and propose novel solutions that improve reliability, scalability, and cost efficiency before constraints become blockers.
- Automate shard buildouts and implement Terraform guardrails and hardened ingress that reduce incidents.
- Scale systems for multi-shard, multi-region growth while meeting compliance attestations (SOC 2, ISO 27001, etc), disaster recovery, and enterprise security requirements.
- Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering.
- Own the reliability of Cloud Platform itself: on-call, incident response, postmortems, runbooks, and prevention.
- Use AI tooling daily to accelerate development, testing, IaC, operations, and investigations, and help the team raise its AI leverage.
What we're looking for
- 6+ years building and operating large-scale distributed systems with a focus on infrastructure and cloud, especially compute foundations.
- Deep, hands-on experience operating and troubleshooting Kubernetes in production, including control-plane, node, and networking issues, ideally Amazon EKS at fleet scale.
- Strong AWS experience: EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, KMS. Bedrock is a plus.
- Multi-account AWS (20+ accounts) experience, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing.
- Infrastructure-as-code at scale with Terraform (CDK experience is a plus).
- Fluent coding in at least one language (Go, Python, or TypeScript/Node.js preferred).
- Experience with hybrid monolith/microservices architectures.
- Experience operating data stores at scale, such as PostgreSQL, DynamoDB, S3, and Redis/Valkey.
- Track record of improving infrastructure reliability and efficiency and implementing security guardrails.
- Strong production debugging across application and infrastructure boundaries, clear written communication, and effective cross-functional collaboration.
- Daily AI user with concrete examples of how AI supercharged your engineering workflow.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
УдалённоseniorUnited Kingdom; Bulgaria; Ukraine; Poland; Hungary; Czechia; Ireland; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
As a Senior Software Engineer, you'll be a key technical leader, driving the design, development, and maintenance of our core backend services. ● Lead System Architecture: Spearhead the architectural design of backend systems, ensuring they are secure, reliable, high-performance, and align with our long-term technical vision.
Location: San Francisco; New York; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
AI is being built by many companies at once. Model labs train more capable models, hyperscalers provide infrastructure and distribution, developers build new AI products, and a growing set of tools gives agents more to work with. Baseten sits at the center of all of it, as the inference platform that developers and large companies use to run AI in production.
We’re hiring a backend/distributed systems engineer to join our Product Platform in following areas:
- Commercialization, billing, and partnerships
- Developer productivity and agentic development
- Observability platform
Please come join our growing team to work on exciting problems. A few sample projects and responsibilities will include
- Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure
- Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
- Build world class commercialization and billing systems
- Work on some of the most strategic and exciting partnership integrations
- Develop internal infrastructure and tooling that improves developer velocity, CI/CD, and deployment safety.
- Own the internal AI agent platform end to end — architecture, build, rollout, operation, measurement.
- Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against.
- Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate.
- Improve platform reliability through better alerting, incident tooling, and production debugging workflows.
- Lead technical design for cross-team projects and make sound tradeoffs between speed, quality, and long-term maintainability.
- Partner with infrastructure, model performance, and product teams to understand what they need to see and ship faster.
- Raise the engineering bar through code review, mentorship, and clear technical writing.
REQUIREMENTS
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 5+ years of relevant industry experience, with a focus on building scalable backend systems and platforms.
- Experience building or operating observability systems (logging, metrics, tracing) or internal infrastructure at scale.
- Proficiency in Python, Go, Rust, or a similar backend language.
- A firm grasp of quality and engineering principles: you understand both the what and the why.
- Strong systems-level thinking: you understand how the components of a distributed system interact and how data flows through each part.
- Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide.
- Excellent written and verbal communication skills.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
The AI ecosystem is being built by many companies at once: model labs creating increasingly capable models, hyperscalers providing infrastructure and distribution, developers building new AI products, and a growing ecosystem of tools that agents can use.
Baseten sits at the center of that ecosystem as the inference platform developers use to run AI in production. Partner Engineering is how we connect those worlds.
As one of the first engineers focused on Partner Engineering at Baseten, you'll build the technical foundation behind some of our most strategic relationships. You'll work directly with engineers at leading model labs, hyperscalers, developer platforms, and AI infrastructure companies to turn partnerships into products developers can actually use.
You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into production at Baseten.
WHAT YOU'LL BUILD
- Bring new capabilities into Baseten. Integrate a search or developer-tools provider into Baseten so an agent can call the service during inference, with consistent authentication, execution, failure handling, observability, and usage reporting.
- Take Baseten into new distribution channels. Integrate Baseten with a hyperscaler, cloud marketplace, or developer platform so customers can discover models, provision access, and run inference through a partner's product while Baseten handles the underlying serving infrastructure.
- Launch models with leading model labs. Build the infrastructure that lets developers discover and run a model lab's newest models on Baseten, including access controls, usage attribution, metering, and the systems required to support commercial agreements such as revenue sharing.
- Create the partner platform itself. Identify the primitives common across these integrations and turn them into reusable platform capabilities so we can launch increasingly sophisticated partnerships without reinventing the stack every time.
WHAT YOU'LL OWN
- Lead strategic partner integrations from technical discovery and architecture through implementation, launch, and production operation.
- Work directly with partner engineering teams to design APIs, define system boundaries, resolve cross-company dependencies, and make architectural decisions.
- Write substantial production code and own the systems you build.
- Build reusable partner-platform primitives across identity, provisioning, inference, model serving, metering, billing, and other Baseten platform capabilities.
- Own technical delivery across Baseten and partner teams, including milestones, dependencies, risks, and architectural tradeoffs.
- Work closely with Partnerships and Product to understand where the ecosystem is going and translate emerging opportunities into platform investments.
- Raise the bar for integration reliability through strong API contracts, testing, observability, safe rollouts, and thoughtful failure handling.
- Help define what Partner Engineering becomes at Baseten as both the team and our ecosystem grow.
REQUIREMENTS
- Experience designing, shipping, and operating large-scale distributed systems in production. You can explain the architectural choices you made and how they meet customers' needs at scale.
- A record of leading ambiguous engineering projects across teams while contributing substantial production code yourself.
- Sound judgment about API design, service boundaries, and failure handling. You've built systems that uphold API contracts and meet measurable service-level objectives that customers and partners depend on.
- Experience turning requests from customers, partners, or other engineering teams into a defined technical scope. You can explain a constraint, propose an alternative, and document the decision.
- Comfort working across application code and cloud infrastructure, including debugging behavior that crosses service boundaries.
NICE TO HAVE
- Product integrations with cloud providers, developer platforms, or other infrastructure companies.
- Usage metering, marketplace infrastructure, or commerce systems that support relationships among multiple parties.
- Model serving or other artificial intelligence (AI) infrastructure used in production.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure.
As we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience.
RESPONSIBILITIES
- Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations.
- Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams.
- Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting).
- Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth.
- Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks.
- Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity.
- Debug and resolve production issues with urgency, communicating clearly with stakeholders and closing the loop with durable fixes.
REQUIREMENTS
- Bachelor's degree or higher in Computer Science or related field
- Experience with billing systems or building internal tools
- Deep knowledge of the web stack & databases
- Strong collaboration and communication skills
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion.
You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads.
EXAMPLE INITIATIVES
Recent and upcoming work in this area:
- Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies
- Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials
- Agent credentials that grant an agent exactly the access it needs for the given task and nothing more
- Enterprise identity lifecycle including single sign-on, SCIM provisioning, and per-organization session expiry policies
- Admin controls for centralized visibility, auditability, and governance over credentials, roles, and access
RESPONSIBILITIES
- Lead identity and authorization projects from problem definition and technical design through implementation, launch, and iteration.
- Design authorization and credential models that support critical user workflows today and can be safely extended as the platform evolves.
- Partner with product, design, and customer-facing teams to turn enterprise security requirements into durable technical solutions.
- Establish engineering practices for quality, security, observability, and operational ownership.
- Provide technical leadership and mentorship as the team grows.
REQUIREMENTS
- 4-5+ years of experience building production backend systems, including hands-on design and implementation of a product authorization system: per-resource or per-object permissions, relationship-based access control, a policy engine, or a fine-grained authorization system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar.
- Demonstrated end-to-end ownership: you've taken a system from first design through implementation, production rollout, and iteration with users.
- Experience developing and operating multi-tenant systems at scale, where authorization checks sit in the request path and latency and consistency matter.
- Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure.
NICE TO HAVE
- Experience with Python and Go.
- Experience running an OpenFGA, SpiceDB, or similar deployment in production, beyond a proof of concept.
- Working knowledge of OAuth, OIDC, and SCIM at the protocol level.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re building Intercom’s Scaled Customer Success team to reach more customers, provide consistent high-impact outcomes, and lean even harder into what makes us unique: our AI-powered products (especially Fin) and deep domain expertise. As a Scaled Customer Success Manager, you’ll be the customer’s trusted guide—helping them adopt and embed Intercom’s suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably.
If you’re excited by working at the intersection of AI, product adoption, and operational excellence—and you want to help define how scaled CS works in practice—this is your role.
What will I be doing?
Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support.
Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments—leveraging technology, automation, digital content, and smart touchpoints.
Monitor usage & health signals proactively—identifying risks, opportunities, and expansion paths; drive intervention where needed.
Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion.
Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training.
Help define what “Scaled CS” means here: you’ll be a builder—defining processes, tools, metrics, and models for what high volume, high value looks like.
What skills do I need?
2–4+ years in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement.
Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them.
Comfortable discussing technical topics such as APIs, integrations, and workflows—not an expert, but confident engaging with customers on technical questions and guiding them to resources.
Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders).
Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results.
Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them.
Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders.
Bonus skills & attributes
Interest in consumption or usage-based SaaS models.
Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools.
Experience in operations, scaling CS / onboarding / customer education / digital engagement programs.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Office Based - London, UK
This is an opportunity to kickstart your career by joining Canonical. You will be working from our Canonical London Office and will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.
While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions.
Location: Office Based in London, England.
The role entails
Empathetic Engagement:
Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks.
Collaborative Problem Solving:
Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction.
True Ownership:
Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably.
Ubuntu Lifecycle Guidance:
Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes.
Knowledge Advocacy:
Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community.
Operational Reliability:
Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners.
What are we looking for in you
Communication Excellence:
Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly.
The Soft-Skill Edge:
A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy.
Academic Dedication:
Exceptional academic track record from both high school and university.
Educational Background:
An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
On-Site Technical Leadership:
Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees.
Driven Mindset:
A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers.
Linux & Cloud Familiarity:
Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following:
Virtualization & Cloud:
Using KVM or OpenStack.
Containers:
primarily Docker, LXD/LXC, or Kubernetes.
Storage Ecosystems:
Block, object, and network storage technologies.
System Networking:
Navigating bonding, firewalls, bridging, switching, or MTU tuning.
Analytical Curiosity:
A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps.
Development Fundamentals:
Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Office Based - London, UK
Accelerate your technical career by joining Canonical in a high-impact, multi-disciplinary role.. You'll be working from our London office, which hosts our events, customer demos and visitors, in an event space with professional live video, audio and streaming equipment. You'll wear three hats: Linux and cloud support engineer, owner of the office's technical infrastructure, and one of the people running the live production at our events. You'll own your cases from first contact to resolution, bringing in colleagues or senior engineers when needed, and you'll keep the technology running when it matters most, with people watching. While professional broadcast or AV experience is not required, a strong technical curiosity for audio/video systems and the composure to manage live, high-stakes environments are a must.
Location: Office Based in London, England.
The role entails
Office technology:
Own the technical state of the London office (network, devices, meeting spaces, AV), including onboarding new colleagues, and know how it all fits together.
Live events:
Run the technology for events and customer demos, from set-up and live operation through to tear-down, and coordinate external crew for larger events.
Customer support:
Own your cases end to end, working with customers by ticket, remote session and live conversation, and with engineering teams to turn code fixes into customer outcomes. Set clear expectations and keep your commitments.
Ubuntu lifecycle:
Understand the Ubuntu development process well enough to give customers realistic timelines for fixes.
Knowledge:
Write and maintain knowledge base articles so lessons learned are shared.
What are we looking for in you
Exceptional written and spoken English, and the ability to explain technical complexity clearly and warmly
An exceptional academic record at high school and university, with an undergraduate degree in a technical subject or a compelling narrative about your alternative path
A builder's streak: something you've set up or run for other people on a deadline, such as a home lab, hackspace, student tech crew, live sound, streaming, or school or club IT
AV curiosity: real interest in audio, video and live production, or a clear appetite to learn it
Composure and care: you like helping people and stay calm when a high-stakes moment, including a live event, gets tense
A track record of going above and beyond for teams or customers
Hands-on experience supporting Linux systems, plus any of: virtualization or cloud (KVM, OpenStack), containers (Docker, LXD/LXC, Kubernetes), storage (block, object, network), or networking (bonding, firewalls, bridging, switching, MTU tuning)
A troubleshooting mindset (logs, stack traces, OS and application-level causes) and programming fundamentals in any language
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Ecosystem Operations Manager at GitLab, you'll own the technology, processes, and operational infrastructure behind our channel, distribution, original equipment manufacturer (OEM), global systems integrator (GSI), and managed service provider (MSP) partnerships. You'll shape how our partners go to market, serving as the primary process owner for deal registration, partner programs, partner quote-to-cash, and partner attribution. You'll combine operational strategy with hands-on execution, using artificial intelligence (AI) to automate workflows and help ecosystem operations scale.
What you'll do
Design and govern end-to-end partner processes, including deal and referral registration, service attach, two-tier distribution, rules of engagement, and quote-to-cash. Partner with Deal Desk and Billing on resale, distribution, OEM, GSI, and MSP transaction workflows, and resolve complex registration, quoting, and billing escalations.
Own operational execution of partner tiering, onboarding, certification compliance, not-for-resale (NFR) licenses, rebates, and incentives, including eligibility tracking, approval routing, and payments.
Own and administer the partner technology ecosystem, including Impartner partner relationship management (PRM), Salesforce customer relationship management (CRM) partner objects, deal registration, and partner portals. Maintain system health and data integrity, and co-manage vendor roadmaps, renewals, and service-level accountability.
Partner with Revenue Technologies and Systems to maintain integrations across partner platforms, Salesforce, enterprise resource planning (ERP), quoting, billing, and financial systems, including partner attribution and compensation data flows. Lead prioritization and user acceptance testing (UAT) for implementations, migrations, and platform enhancements with IT and Enterprise Applications.
Own the ecosystem data model and work toward one standard partner attribution record across the customer lifecycle. Serve as a resource for Ecosystem Sales, partners, and internal teams on attribution, territory, and compensation-impacting data, and maintain reporting and dashboards as a single source of truth for partner pipeline, registration activity, and program performance.
Lead ecosystem month-end close with Deal Desk, Compensation, Accounts Receivable, and Finance, covering opportunity corrections, partner splits, territory review, and reconciliation.
Identify, build, and deploy AI agents to automate workflows such as deal registration routing, NFR provisioning, partner data quality checks, and reporting. Evaluate processes for opportunities to reduce manual effort, improve consistency, and shorten cycle times.
Maintain the authoritative ecosystem process map, runbooks, and training materials. Support tool configuration, testing, and end-user training. Own channel price files and partner quoting for product launches and stock keeping unit (SKU) changes. Coordinate improvements with operational peers, IT, Finance, Product, and Legal through GitLab Work Items.
What you'll bring
Experience in business-to-business software-as-a-service channel or partner operations, with direct ownership of ecosystem workflows and the ability to work independently in a remote environment.
Hands-on experience with Impartner or an equivalent PRM platform, including deal registration and partner portal administration.
Strong working knowledge of Salesforce CRM, including partner objects, opportunity management, Flow, validation rules, reports, and dashboards.
Deep familiarity with resale, two-tier distribution, deal registration, rules of engagement, partner discounting, and partner quote-to-cash, plus an understanding of OEM, GSI, and MSP transaction structures and operational requirements.
Direct experience operating partner programs, including tiering, certification compliance, rebates, and incentives, with responsibility for execution and compliance.
Experience designing and documenting complex operational processes for distributed teams, translating business needs into detailed system requirements and configuration, and leading user acceptance testing through release.
Hands-on experience using AI tools and building agents to automate operational workflows, from evaluating opportunities to delivering working solutions.
Experience resolving ambiguous operational escalations across systems, teams, and partner relationships, and aligning Deal Desk, IT, Finance, Compensation, Legal, and Sales around operational changes.
About the team
Our Ecosystem Operations team works closely with Systems, Revenue Technologies, Deal Desk, Ecosystem Programs, Enablement, Finance, Compensation, and Legal. We enable consistent execution across Ecosystem Operations Specialists and cross-functional partners. You'll also partner with the Senior Hyperscaler Operations Manager, who owns Amazon Web Services and Google Cloud operations, on shared systems, the ecosystem data model, and month-end close.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$104,800
—
$176,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Paris, Remote
Workplace: remote
Our Product team comprises Group Product Managers and Product Managers. Within a Product Squad, the Product Manager works with a Product Designer and 4 to 6 Software Engineers on an ambitious roadmap. Product Managers are committed to maintaining our lead in Collaborative Learning.
To secure the delivery of our new features and solutions, we are recruiting a Product Manager who will own the functional and technical scope of the squads. They will identify problems, define solutions and manage delivery. They make sure their roadmap is aligned with the Product vision.
Within 1 month, you will:
Become a Trello expert through our onboarding process
Understand our product offering through training
Meet the global team through virtual coffee meets and happy hour
Within 3 months, you will:
Write features specifications and user stories
Manage the roadmap and product backlog of your squad
Ensure timely and effective delivery of new features
Attend customer discoveries and adapt solutions consequently
Within 6 months, you will:
Become a subject matter expert for any topic related to the product backlog, the roadmap and the user stories in your squad
Partner with other key stakeholders like other Product Managers, the Engineering Manager, Product Designers
Get your solutions challenged by internal and external stakeholders
Be accountable for your squad's performance against target KPIs
Be accountable for your squad's quarterly OKRs
The Skill Set:
Driving product vision into delivered products and solutions
Experience managing a Product Backlog (prioritizing and negotiating, clarifying requirements, defining MVPs, developing roadmaps)
Proven impact working in a startup, scale up or consulting firm
Demonstrated ability to work with engineering and Product Management teams to discuss technical concepts, make tradeoffs to remove roadblocks, and evaluate new ideas
Experience in managing complex problems involving multiple technical and business stakeholders
Team spirit and good communications skills, including the ability to communicate solutions effectively to technical and non-technical audiences
Leadership and conflict resolution skills necessary
Fluent English (US/UK) / B2 level or equivalent (FR)
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
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:
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with the Live Group Product Manager
Case study with our Chief Product Officer and a Product Manager
Clarification meeting with a Group Product Manager and the Lead Software Engineer
Interview with our Chief Executive Officer
Offer!
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: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next
Americas Sales Business Partner Manager
(SBP)
.
About the job
This position is needed to serve as the right hand Sales Ops leader to leaders across the Americas Sales organization. In this role, you will be instrumental in ensuring alignment between sales strategy and execution, fostering collaboration across teams, and driving operational excellence that accelerates growth and delivers measurable results for your verticals. The ideal candidate is a hands-on Sales Operations leader with deep go-to-market (GTM) and enterprise-scale software/tech experience in sales strategy. Success requires tight alignment and collaboration with your peer Sales Operations functional leaders ( Strategic Operations, Sales Compensation, GTM Initiatives and GTM Analytics, GTM Enablement) and company-wide cross-functional teams such as HR, finance, marketing, product and more.
Responsibilities
In this role, you’ll:
Be the Business partner to GTM leaders; challenge the status quo.
Shape & execute business strategy to address risks / obstacles / opportunities.
Translate strategy into actionable operational plans & execute.
Be the Voice of sales in cross-functional initiatives.
Execute operational cadences at the Vertical/Segment level supporting a Regional VP of Sales
Manage forecast and pipeline health; drive predictability for month/quarter/year.
Provide business performance insights; facilitate decision-making.
Produce recurring & ad hoc exec business updates.
Engage & deliver on localized planning & sales ops activities (e.g. headcount, Annual Planning, New Year Readiness, Account Movements, Territory & Quota operationalization) in alignment with Strategic Operations peer function.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
6+ years of experience in sales operations, sales, strategy consulting; minimum 2+ years directly partnering with senior software/tech sales leaders ($1B+ sales orgs).
Proficiency in sales planning and operations including sales coverage, segmentation, territory planning, sales compensation strategy and executing a rhythm of business (MBRs, QBRs, etc).
Problem-solving, communication and interpersonal skills with ability to influence and align senior leadership and teams.
Bachelor’s Degree or equivalent years' of experience; graduate degree a plus.
Desired:
Experience guiding sales teams through organizational changes, shifting priorities, and evolving market strategies with minimal disruption.
Ability to translate complex sales performance and pipeline data into clear storylines, actionable recommendations, and business reviews for senior leaders.
Proven track record of building strong partnerships across various business functions and aligning diverse cross-functional stakeholders around shared business priorities.
Location
This role will be remote,
but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960 - $146,200.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $123,760 - $154,700.
Based in the San Francisco Bay area, California: $137,520 - $171,900.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until November 20, 2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About Tavily
We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.
We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The role
Tavily is seeking a motivated
Enterprise Account Executive
to help expand our presence with large enterprises and strategic customers. In this role, you will own the full sales cycle, working with organizations that are building and scaling AI-powered applications, developer platforms, and data infrastructure.
You will partner with engineering leaders, AI teams, product organizations, and executive stakeholders to help them leverage Tavily’s AI-powered search and data capabilities. This role is ideal for someone who thrives in a fast-paced startup environment, enjoys building pipeline, and can navigate complex enterprise sales cycles from initial engagement through successful close.
As an early member of the go-to-market team, you will play an important role in shaping our enterprise sales motion, expanding strategic customer relationships, and helping scale our business.
We are looking for a
genuine hunter mentality — you build your own pipeline and don’t wait for inbound.
Your responsibilities will include:
Own the full sales cycle from prospecting through close for enterprise accounts
Identify and develop new enterprise opportunities through outbound outreach, partnerships, and inbound demand generation
Build strong relationships with technical and executive stakeholders, including engineering leaders, product teams, AI teams, and C-suite decision-makers
Lead complex sales cycles involving multiple stakeholders, technical validation, security reviews, procurement processes, and contract negotiations
Partner closely with Sales Engineering and Product teams to support technical evaluations, proof-of-concepts, and customer onboarding
Develop strategic account plans for target enterprises and expand Tavily’s footprint within key customer accounts
Maintain accurate pipeline management, opportunity tracking, and revenue forecasting within CRM
Share customer feedback and market insights to help inform product development and go-to-market strategy
Contribute to building repeatable enterprise sales processes and best practices as the company scales
We expect you to have:
7+ years of B2B SaaS, infrastructure software, or technology sales experience, with a focus on enterprise customers
Proven ability to consistently meet or exceed quota and close complex enterprise deals
Experience managing multi-stakeholder sales cycles involving both technical and business decision-makers
Strong prospecting, pipeline generation, and account development skills
Ability to clearly communicate the value of highly technical products to both technical and non-technical audiences
Strong organizational, communication, negotiation, and executive presentation skills
Self-starter mindset with the ability to operate effectively in a fast-paced, high-growth startup environment
It will be an added bonus if you have:
Experience selling AI platforms, developer tools, APIs, data infrastructure, or cloud technologies
Experience selling to engineering organizations, AI teams, developers, or data platform leaders
Familiarity with enterprise sales methodologies such as MEDDICC, MEDDPICC, or Command of the Message
Experience working in early-stage or high-growth startup environments
Technical fluency that enables effective engagement with developers, architects, and technical decision-makers
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
#LI-VC1
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
On Target Earnings Range
$300,000
—
$350,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
The role will lead Fin’s New Business organization in North America, a team of Account Executives and their front-line managers responsible for new logo and new revenue growth across the SMB and Mid-Market segments. Reporting to the VP, NAMER Sales, this person owns the new business strategy, operating plan, and results for the region, and is accountable for building and running a high-performing, multi-layered sales organization.
We are looking for a seasoned second-line leader who excels at hiring and developing sales managers, inspiring a large team, and partnering cross-functionally to build efficient, repeatable, and customer-centric sales processes. This leader will play a central role in shaping and executing our value-led sales strategy and in scaling the NAMER new business engine.
For this big challenge, we are looking for an innovative, agile, and resilient Sales Leader to help us write the next chapter in the AI-first customer support space.
What will I be doing?
Sales Strategy & Planning:
Partner with the VP, NAMER Sales and senior leadership to define the new business strategy for North America across SMB and Mid-Market.
Own segment planning: territory and capacity design, headcount plans, quota setting, and resource allocation across teams.
Translate company goals into regional operating plans and tactics that reflect market dynamics and the Fin opportunity.
Leading Leaders:
Hire, coach, and develop a team of front-line Sales Managers; raise the bar on how they recruit, ramp, and manage their Account Executives.
Build a strong leadership bench and a culture of accountability, rigor, and continuous improvement.
Pipeline, Forecasting & Execution:
Own the regional new business forecast; drive forecast accuracy and pipeline discipline across all teams.
Inspect pipeline health, deal progression, and conversion, and intervene on strategic deals where needed.
Analyze sales metrics to identify trends, optimize process, and improve productivity and win rates.
Cross-Functional Collaboration:
Partner with Marketing, SDR, Product, Sales Engineering, Enablement, RevOps, and Customer Success on go-to-market strategy, pipeline generation, and a seamless customer experience.
Represent NAMER New Business in company planning and ensure alignment on goals, budgets, and investments.
Customer Focus:
Maintain a deep understanding of customer needs, the competitive landscape, and market trends to help teams win.
Ensure customers are handed off to the Relationship Management team thoughtfully, always keeping the customer experience top of mind.
What skills do I need?
5+ years in a quota-carrying new business IC role with proven success. Must demonstrate direct experience running strategic deals 6 and 7 figure deals (involving procurement, legal, security, executive selling)
5+ years of sales management experience. (2 years in second-line leadership)
Track record of building and scaling new business organizations across multiple segments with a mix of velocity and strategic selling (SMB and/or Mid-Market)
Demonstrated success developing and executing outbound sales strategies, ideally within a product overlay or co-prime selling environment.
Exemplary new business sales acumen; experience with Command of the Message and MEDDPICC a plus
Strong command of forecasting principles and a track record of accurate revenue forecasting at the regional level
Experience developing GTM strategy and building and executing operational plans (capacity, territory, quota, headcount)
Excellent communication skills across a variety of mediums (written, verbal, presentation, interpersonal), including executive-level communication
*Proof of eligibility to work in the United States is required.
The OTE salary range for candidates within the Greater Chicago Area is $372,600-$445,050. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote - Colombia
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Technical Support Expert 2
About the job
This position is needed for you to join the Support team and provide excellent technical support to users of the Email platform. Wearing the customer’s shoes is one of the core values of our company, and excellent Support is what our customers have come to expect and love about Twilio. If you are a technically savvy individual who enjoys mentoring and raising the bar, and is also customer-focused with excellent communication skills, keep reading!
Responsibilities
In this role, you’ll:
Provide product support for a wide range of customer inquiries received via telephone, email, social media and chat.
Assess the nature of product or service issues and resolve a variety of complex support problems.
Log customer interactions and tag/categorize issues accordingly.
Resolve a monthly volume of tickets consistent
Be the point of escalation for middle complex issues within support, and escalate to Product and Engineering teams as necessary.
Identify ways to improve existing processes and procedures.
Mentor newer members of the Customer Support team with customer issues.
Contribute content to knowledge base to support team and customer enablement
Ensure Support SLAs and CSAT goals are consistently met, and ticket queues are well managed
Incident report and Oncall
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
3-4 years experience in a client-facing customer/technical support role, supporting Email, Communications, SaaS or related technologies
A demonstrated history of customer focus, empathy, active listening, and the ability to diplomatically address customer concerns and provide feedback
Experience communicating complex technical issues to both technical and non-technical audiences via phone or email
Strong, creative problem solving skills
Quick learner, willing to take initiative, and has great follow through
A demonstrated ability to remain calm and effective at higher workloads as well as excelling at prioritization and evaluation of situational urgency
A high-energy, optimistic outlook and positive attitude
An empathetic approach to troubleshooting and customer service
A demonstrated attention to detail, with the ability to quickly ramp up on new products, new technologies, and evolving customer or business needs
Accountability - Being willing to answer for the outcomes resulting from their own choices, behaviors, and actions. Take ownership of situations that they're involved in
Self Motivation - Motivated to do or achieve something because of one's own enthusiasm or interest, without needing pressure from others
Focus - Achieve what they set out to do before launching new initiatives. Complete company-linked goals and tasks, not simply to be busy and active
Experience with incident communication and on-call.
Experience with the following: Supporting Email (or similar) REST API’s ; Email Deliverability ; JIRA/Confluence Experience (a plus) ; Snowflake ; Terminals (command prompt)
Desired:
Reading/Debugging HTML (a plus)
SQL (a plus)
Snowflake & Splunk (a plus)
Experience with SFDC, QuickBooks, Zuora or other financial management software and financial principles a plus for some roles (Billing)
Postman or other APIs client
Zendesk is preferable
Location
This role will be remote, and based in Colombia
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Seoul, South Korea
Sydney, Australia
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
Dublin, Ireland
United Kingdom - Remote
ОфисOffice Based - London, UK
ОфисOffice Based - London, UK
УдалённоseniorRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоParis, Remote
УдалённоRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
United States; By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed