Location: Mexico
Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to gifted people, regardless of location.
About the Client
Our client helps high-achieving men rebuild their lives from the inside out, marriage, family, identity, and purpose.
They have an established content engine and a large existing audience across social platforms, with hundreds of long-form videos and a deep library of short-form content, client testimonials, VSLs, and organic content continually being produced and tested. They’re looking for a Meta Media Buyer who can turn that creative engine into predictable, scalable customer acquisition.
About the Role
Paid acquisition is a major growth channel for our client, and we need a dedicated owner of our Meta advertising.
This is not a general digital marketing position, and it is not a role for someone who simply launches campaigns and checks Ads Manager once a day. You will own Meta campaign execution and optimization end to end: campaign structure,
budgets, testing, creative performance, audiences, tracking, lead quality, and scaling. You’ll work closely with our organic and creative teams. When content breaks out organically, you should know how to test it as paid creative. When an ad works, you should understand why it works and be able to tell the creative team what we need more of. Ultimately, your job is not to generate cheap clicks or leads. Your job is to help us acquire qualified prospects and customers at economics that allow us to scale.
Responsibilities
1. Meta Campaign Management
Own day-to-day execution across Facebook and Instagram advertising through Meta Ads Manager.
Build, launch, manage, and optimize campaigns across the customer acquisition funnel.
Manage campaign structure, budgets, bidding, audiences, placements, optimization events, and spend allocation.
Monitor account performance consistently and make informed adjustments rather than allowing declining campaigns to run unchecked.
Maintain clean campaign structures and naming conventions so the account remains organized, understandable, and scalable.
2. Performance & Budget Optimization
Own the numbers behind paid acquisition.
Monitor and analyze the metrics that matter, including CPM, CTR, CPC, CPL, cost per booked call, CAC, conversion rates, lead quality, spend, and revenue performance.
Understand where performance is breaking down. A rising CAC does not automatically mean the audience is the problem, and a low CPL does not automatically mean the campaign is successful.
Follow the lead beyond Meta. Work with our sales team to understand whether campaigns are generating qualified applications, booked calls, show-ups, and customers — not simply form submissions.
Identify where additional budget can be deployed profitably and where spend needs to be reduced or redirected.
3. Creative Testing & Analysis
Develop and maintain a structured testing system for hooks, angles, messaging, formats, offers, CTAs, and creative concepts.
Analyze creative performance and identify patterns across winning and losing ads.
Be able to explain more than “this ad has the lowest CPL.” We want someone who can identify why an angle is resonating, which hooks are producing qualified prospects, what is losing effectiveness, and what should be created next.
Give the creative team specific, actionable briefs and feedback based on performance data.
Work closely with our Social Media Manager to identify organic winners that should be tested as paid creative, including reusing organic post IDs where appropriate to carry existing social proof.
4. Testing & Scaling
Build a disciplined testing process rather than making random changes inside the ad account.
Know how to determine whether a test has enough data to make a decision and distinguish meaningful performance changes from normal fluctuations.
Identify winners, iterate on them, and scale them intelligently.
Know when to increase spend, when to consolidate, when to introduce new creative, when to let a campaign stabilize, and when something genuinely needs intervention.
Balance growth with efficiency. We don’t want someone afraid to spend money when the economics support scaling — or someone who increases budgets simply because Meta is reporting good numbers.
5. Tracking & Attribution
Ensure Meta Pixel, Conversions API, conversion events, UTMs, landing-page tracking, and relevant CRM attribution are functioning correctly.
Identify tracking discrepancies and work with the appropriate team members to resolve them.
Understand the limitations of platform attribution and use available business data to develop a more complete picture of campaign performance.
Paid acquisition doesn’t end when someone submits a lead form. You should be able to connect ad → lead → appointment → sales outcome → customer acquisition cost.
6. Reporting & Communication
Own clear and consistent reporting on paid acquisition performance.
Communicate what happened, why it happened, what was learned, and what you’re doing next.
Report on spend, lead volume, CPL, qualified leads, booked calls, CAC, creative performance, testing results, and relevant funnel metrics.
Flag meaningful performance changes quickly rather than waiting for someone else to notice them.
Requirements
You have experience working with U.S.-based DTC e-commerce businesses generating seven- to eight-figure annual revenues.
3+ years of hands-on experience managing Meta Ads (Facebook and Instagram).
Strong proficiency with Meta Ads Manager.
Demonstrated experience managing and scaling meaningful paid advertising budgets.
Strong understanding of direct-response and performance marketing.
Experience with lead-generation and conversion-focused campaigns.
Strong understanding of campaign structure, audiences, bidding, budgeting, optimization, and scaling.
Strong creative analysis and ad-testing skills.
Ability to interpret advertising and funnel data and translate it into specific actions.
Understanding of Meta Pixel, Conversions API, conversion events, UTMs, and attribution.
Ability to evaluate performance beyond platform metrics and connect advertising results to downstream sales outcomes.
Strong written and verbal communication skills.
Strong organizational skills and attention to detail.
Ability to work independently, take ownership, and proactively identify and solve performance problems.
Nice to Have
Experience with high-ticket coaching, education, personal development, mental health/fitness, or information-product businesses.
Experience working with a setter/closer sales model and understanding what happens to paid leads after they enter a CRM.
Experience with application, booked-call, VSL, or similar high-ticket acquisition funnels.
Experience working with founder-led or personality-driven brands.
Experience turning organic content into successful paid creative.
Strong understanding of CRM attribution and the connection between ad-platform data and actual sales outcomes.
What We’d Like to See From Candidates
We’re much more interested in proof of work than media-buying buzzwords.
Be prepared to show accounts or case studies you’ve personally managed and explain your role in the results.
We want to understand the monthly Meta spend you’ve personally managed, the type of business and offer you advertised, your CPL/CAC or other relevant acquisition results, how you approached creative testing, what you successfully scaled, and an example of a campaign that stopped performing and how you diagnosed it.
You should be able to explain your decision-making, not simply show us a screenshot of a successful Ads Manager dashboard.
Out of Scope for This Role
This is specifically a Meta Media Buyer position.
You are not responsible for organic social media management, community management,
email/newsletter marketing, or managing Google, YouTube, TikTok, or other paid advertising platforms.
Our Social Media Manager owns organic social end to end and influences paid creative but does not run the ad accounts.
Location: Americas; APAC; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE
As Senior Product Manager, User Acquisition, you'll explore an important extension of how RevenueCat helps developers grow: helping them not just monetize the users they have, but acquire more of the right users in the first place.
RevenueCat already has several footholds in user acquisition, including our Apple Ads integration and integrations across the attribution and MMP ecosystem. But we're still early in defining what a broader RevenueCat user acquisition product should become. You'll be the first dedicated product hire focused on this space, reporting directly to our product lead for Ads, with significant latitude to shape both the strategy and the products we build.
This is a genuine zero-to-one role. You won't inherit a predetermined roadmap. Your job will be to deeply understand how app developers acquire users today, identify where RevenueCat has an opportunity to solve problems meaningfully better, and turn those insights into products we can test, ship, and scale.
You'll bring real expertise in mobile performance marketing and user acquisition to that process. The opportunity could eventually span attribution and measurement, products built on top of existing acquisition channels, new ways to optimize spend using downstream monetization data, partnerships, advertising infrastructure, or things we haven't considered yet. We have hypotheses, but we're hiring you in part because we want your perspective on which ones are worth pursuing.
RevenueCat has some unusual advantages to build from: relationships with a large ecosystem of app developers, deep visibility into subscription and monetization outcomes, infrastructure already embedded in apps, and a growing advertising business. The challenge is figuring out how those assets can translate into something uniquely valuable for developers trying to grow.
ABOUT YOU:
- You have 5+ years of experience owning meaningful product or growth decisions end-to-end. Your title may have been Product Manager, founder, growth leader, or something else — what's important is that you've been accountable for deciding what to build and whether it worked.
- You have deep, hands-on experience with mobile user acquisition—either directly managing and optimizing acquisition for mobile apps, or building products and infrastructure used by mobile acquisition teams. You understand how app developers actually acquire users, measure performance, and make decisions about where to spend their next dollar.
- You understand the modern mobile acquisition stack, including MMPs and attribution, Apple Ads, Meta and Google advertising products, conversion APIs, and related measurement infrastructure.
- You can reason clearly about attribution, performance-marketing economics, and privacy. You understand concepts such as CAC, LTV, ROAS, optimization signals, ATT, SKAdNetwork/AdAttributionKit, consent management, and how downstream behavior should influence acquisition decisions.
- You thrive in zero-to-one environments. You can take a large, ambiguous opportunity, identify the most important unanswered questions, narrow it into product bets, and find pragmatic ways to test those bets before making large investments.
- You are sufficiently technical to work closely with engineering on integrations, APIs, SDKs, data flows, identity, attribution, and other technical product decisions.
- You communicate clearly across different audiences and media, particularly in writing.
IN THE FIRST MONTH, YOU'LL:
- Spend significant time with developers understanding how they acquire users today, how they evaluate acquisition performance, and where the process is painful, expensive, fragmented, or opaque.
- Build a deep understanding of RevenueCat's existing acquisition-related products, integrations, data, customer research, and technical capabilities.
- Build strong working relationships with engineering, design, data, go-to-market, and other product teams whose work intersects with user acquisition.
- Develop a clear picture of the acquisition ecosystem, the problems RevenueCat is particularly well positioned to solve, and the biggest assumptions we still need to test.
- Begin forming your own point of view on where RevenueCat could create differentiated value in user acquisition.
WITHIN THE FIRST 3 MONTHS, YOU'LL:
- Have narrowed the broad user acquisition opportunity into a small number of concrete product hypotheses, grounded in customer research, market understanding, and RevenueCat's unique advantages.
- Have a clear recommendation for where we should focus first — and why.
- Begin validating that direction through prototypes, design partners, technical exploration, lightweight product experiments, or an initial shippable bet.
- Establish a learning agenda that makes the biggest risks and unanswered questions explicit, and gives us a fast path to increasing or decreasing our conviction.
- Align senior stakeholders around what we're testing, what we're not pursuing yet, and what evidence would cause us to change direction.
WITHIN THE FIRST 6 MONTHS, YOU'LL:
- Have shipped our first substantive user acquisition product bet, or generated enough evidence to decisively change or stop it before making a larger investment.
- Have real evidence from the market about where RevenueCat can — and cannot — create differentiated value.
- Be independently driving product discovery, prioritization, and execution for the user acquisition area.
- Have developed an evidence-backed point of view on the most promising opportunities in the space and what capabilities RevenueCat would need to pursue them.
- Have turned a broad strategic opportunity into an increasingly focused product direction.
WITHIN THE FIRST 12 MONTHS, YOU'LL:
- Have established a clear strategic direction for RevenueCat in user acquisition, supported by customer behavior and product evidence rather than thesis alone.
- Have shipped meaningful products or experiments that either created measurable value for developers or materially changed our understanding of the opportunity—including changing or killing bets when the evidence didn’t support them.
- Have a credible longer-term roadmap for turning the strongest early signals into a meaningful RevenueCat product area.
- Be the primary IC product owner for User Acquisition and the internal domain expert on how app developers acquire, measure, and optimize users.
- Have helped define how RevenueCat's monetization data, developer footprint, and advertising capabilities can work together to create a differentiated position in app growth.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: Amsterdam
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
WHAT YOU'LL DO:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT YOU'LL BRING:
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
€110,000-€185,000 base salary + equity
Location:
- Netherlands, Amsterdam
- Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: London
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
WHAT YOU'LL DO:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT YOU'LL BRING:
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
£100,000-£165,000 base salary + equity
Location:
- UK, London
- Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote - Singapore
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
KEY RESPONSIBILITIES:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
$185,000-$260,000 base salary + equity
Location:
- Singapore
- Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote - Singapore
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
KEY RESPONSIBILITIES:
- Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
- Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
- Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
- Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
- Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
REQUIREMENTS:
- 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
- 2+ years of hands-on experience building and shipping production agent systems.
- Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
- Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
- Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
- Comfortable operating across the full spectrum from advisory to embedded delivery.
- Willing to travel up to 20% of the time.
NICE TO HAVE:
- Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
- Experience with trace mining to drive continuous improvement loops
COMPENSATION:
$185,000-$260,000 base salary + equity
Location:
- Singapore
- Remote with up to 25% travel
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're hiring our first Demand Generation Lead for EMEA, Middle East and Emerging Markets. You'll own how LangSmith shows up in the region and how that turns into pipeline from partnering with performance marketing, lifecycle marketing, integrated campaigns and webinars to build a localized campaigns.
You'll be deciding what works in the region, run the experiments to prove it, and then scale what works into a repeatable regional playbook. You’ll be a builder with central support from our US demand gen, product marketing, and marketing ops teams.
WHAT YOU'LL OWN:
REGIONAL DEMAND STRATEGY AND PIPELINE:
- Build the EMEA demand plan: which markets, which segments, which channels, and what each is expected to return
- Own an EMEA pipeline target and report against it sourced and influenced, by channel and by market
- Decide how the regional demand budget gets allocated for localized programs.
FULL-FUNNEL PROGRAM EXECUTION:
You'll own the whole mix for the region and be hands-on in all of it:
- Paid digital: partner with performance marketing to support localized 3rd party promotion, paid search, paid social, and retargeting strategy, including account-level and contact-level targeting to give sellers air cover in named accounts
- Webinars: run a regional cadence across live demos, thought leadership webinars, technical workshops, and customer stories, in local time zones with local speakers where it helps
- Integrated campaigns: adapt global LangSmith narratives and build region-first campaigns when the market needs something different
- Lifecycle: build segmented nurtures and post-event follow-up for regional leads, with attention to language and time zone.
CROSS-FUNCTIONAL PARTNERSHIP:
- Work directly with EMEA AEs and SDRs to understand what converts in-region and co-design follow-up plays that drive pipeline.
- Partner closely with Field Marketing to build joint regional plans, align priorities, and create a coordinated interface into the sales team.
- Support new-hire ramp by identifying warm signals, share campaign hand-off details, marketing programs, and proven outreach plays reps can use in their first 90 days.
- Collaborate with RevOps on targeting, routing, campaign tracking, and reporting to improve regional execution and pipeline visibility.
WHAT WE'RE LOOKING FOR:
- 7+ years in B2B demand generation, growth marketing, or integrated campaigns, ideally in developer tools, infrastructure, or technical SaaS
- Track record of building demand programs in EMEA across multiple countries, with a clear view of where localization matters and where it doesn't
- You've personally run paid, webinars, lifecycle, and ABM
- You write the copy, build the landing page, pull the report, and launch the campaign
- Comfortable with a technical product and a technical audience. You don't need to write code, but you should be able to hold a conversation about agents, evals, and observability without a script
- Strong partner to Sales. You've worked shoulder to shoulder with AEs and SDRs and you're comfortable with a pipeline number
- Fluent in the numbers: funnel conversion, CPL, cost per SQO, pipeline contribution, and attribution's real limits
- Working command of a modern stack, Hubspot, Influ2, Qualified, Goldcast, Zoom Webinar, Zapier, SFDC, Reo.dev http://Reo.dev, and Clay
- Comfortable with ambiguity and true ownership
COMPENSATION:
£95,000-£125,000 base salary + equity
Location:
- UK, London or The Netherlands, Amsterdam
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: London
Workplace: Hybrid
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Deal Strategy & Operations Lead to join our growing Deal Strategy & Operations team. This role serves as a critical partner to our EMEA sales organization, enabling efficient deal execution while maintaining pricing integrity and revenue quality. In this role, you'll review and structure non-standard SaaS contracts, evaluate pricing requests, and collaborate cross-functionally with Sales, Finance, and Legal to expedite deal approvals. You'll be responsible for ensuring all deals are accurately configured in our CPQ system, comply with revenue recognition standards, and align with company policies. The ideal candidate brings strong analytical skills, attention to detail, and the ability to balance business flexibility with financial discipline. This is an excellent opportunity to gain exposure to the full revenue lifecycle while directly impacting our ability to close deals quickly.
WHAT YOU’LL DO:
- Own the deal strategy across our EMEA sales team
- Quarterback non-standard deals through the contracting cycle & internal approval processes in collaboration with the appropriate cross-functional teams (Sales Leadership, Legal, Accounting, Billing, Product, etc.) to ensure that all deals align with business strategies and guidelines
- Master and help evolve deal policies, including contract terms, pricing & packaging, contractual requirements, etc.
- Partner with Account Executives on forming deals, and help translate deal structures to Order Forms for complex deals in partnership with Commercial Legal
- Create operational processes, process documentation, and enable Sales Teams on best practices, tools, and workflows to ensure effective deal execution
- Monitor and ensure that internal requests are addressed thoughtfully and with urgency
How to be successful in this role:
- 8+ years of experience in Deal Operations, Deal Desk, or Sales Operations
- A “roll up your sleeves” mentality, and an ability to collaborate effectively across internal functions (Sales, RevOps, Legal, Finance, etc.) to achieve common goals
- Experience operating across EMEA markets, including fluency with multi-currency workflows, regional compliance considerations, and the varying enterprise sales cycles and procurement norms across EMEA geographies.
- Experience working with consumption-based or usage-based pricing models, including structuring deals, managing overage conversations, and ensuring accurate configuration and compliance within CPQ and order form workflows.
- Detail-oriented, excellent written and verbal communication skills with the ability to identify areas of improvement and propose necessary changes
- Strong analytical skills, with a focus on data-driven decision-making to equip the business in a strategic manner and communicate big picture opportunities
- Ability to work well under pressure, with a high degree of adaptability and flexibility in a fast paced, rapidly changing environment
- You are skilled at prioritization, effectively balancing urgent support requests with long-term project work.
- Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
COMPENSATION:
£110,000-£140,000 base salary + equity
Location:
- UK, London
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: London
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain:
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
WHAT YOU’LL DO:
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
COMPENSATION:
£258,000 OTE + equity
Location:
- UK, London
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Germany
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
WHAT YOU’LL DO:
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
WHAT YOU WILL BRING:
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
COMPENSATION:
Annual salary range: $225,000-$350,000 OTE USD + equity
Location:
- Germany, Munich
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Sweden
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
WHAT YOU’LL DO:
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
WHAT YOU'LL BRING:
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
COMPENSATION:
Annual salary range: $225,000-$350,000 OTE USD + equity
Location:
- Sweden, Stockholm
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote; Seattle, WA; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
We're looking for a Copywriter with a focus in Product Marketing to sit at the intersection of product marketing and in-product experience. This is not a brand or campaign role — it's a performance-driven, product-close writing role. You'll own copy across landing pages, lifecycle emails, ads, feature launches, onboarding flows, in-product messaging, and everything in between. You'll report to the Creative Director of Product Marketing.
Your work will directly shape how people discover, understand, and adopt Runway's products. That means writing copy that converts on a landing page, writing the in-product text that helps a user get started, and crafting the email that brings them back. You'll partner closely with product marketing, growth, design, and product teams — and you'll be measured on clarity, speed, and impact.
WHAT YOU'LL DO
- Write landing page copy, ad copy, and performance marketing assets that drive acquisition and conversion
- Own in-product copy — onboarding flows, feature announcements, tooltips, modals, upgrade prompts, and CTAs
- Write lifecycle and product emails — launches, re-engagement, onboarding sequences, and feature adoption
- Own the narrative for launch videos and short-form product films, writing scripts, sharpening others' drafts, and making sure every frame makes the product's value clear
- Partner with product marketing on positioning, messaging frameworks, and go-to-market copy for new releases
- Collaborate with design and product teams to shape the in-product writing experience
- Write and iterate on A/B test variants across landing pages, emails, and ads
- Translate complex, technical product capabilities into clear, compelling language for a range of audiences
- Maintain consistency in product voice and terminology across all touchpoints
WHAT YOU'LL NEED
- 4+ years of experience in product copywriting, growth marketing or a related writing role at a tech or SaaS company
- A portfolio that shows range across performance marketing, product copy and in-product writing — not just brand campaigns
- Strong instinct for conversion-oriented writing — you think in terms of clarity, action, and outcomes
- Experience writing in-product copy (onboarding, feature education, UX microcopy) alongside marketing copy
- Comfort working with data — you can look at test results, funnel metrics and engagement data and know what to write next
- Experience partnering with product, design, and growth teams in a fast-moving environment
- Ability to context-switch across multiple launches and workstreams without losing quality
- Experience in AI, creative tools, or developer-adjacent products is a strong plus
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
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 Backend Engineer on GitLab's Security Factory: Code Security team, you help developers find and fix security issues. Those issues live in the code they write and in the open source components they depend on.
Your work spans complementary parts of a complete security analysis. On the dependency analysis side, you teach the analysis engine what a project depends on. You parse dependency manifests, lockfiles, and SBOMs so the engine knows which libraries and frameworks are in play and how the code uses them. You also extend the service that turns security advisories into automated merge requests that update vulnerable dependencies. On the vulnerability detection side, you grow GitLab's security analysis engine with hybrid analyzers that blend rule-based detection and AI reasoning. You build and apply the tooling that develops, evaluates, and ships those analyzers, and you measure how well they find real problems. That work also expands coverage of the libraries, frameworks, and AI agent tooling that real-world applications are built on.
These threads reinforce each other. What a project depends on, and how its code uses those dependencies, are parts of one picture, and this team works across all of it. We make thoughtful use of AI-assisted development tools in our daily work. We expect you to use them effectively and with good judgment.
What you do
Act as the directly responsible individual (DRI) for team initiatives from design through delivery, shipping with minimal guidance in partnership with the technical lead
Bring systems built by one engineer to team ownership through documentation, tests, and shared review
Design and ship analyzers that pair deterministic analysis capabilities with AI-driven analysis, and build the evaluation harnesses that measure their false positives and missed findings against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes detection rules mapped to CWE and the test fixtures that prove they work.
Package those analyzers for every place GitLab runs them, including CI jobs, AI agent workflows, and command-line tools, with findings reported in GitLab's standard security report formats
Design and ship the manifest, lockfile, and SBOM parsing that tells the static analysis engine what a project depends on, and extend it to new ecosystems and formats
Ship features across the automated remediation service that turns security advisories into dependency update merge requests, from sandboxed updates to merge request creation
Solve technical problems of high scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, Engineering stakeholders such as Frontend and UX, and partner teams such as Code Scanning and Composition Analysis
Mentor Intermediate engineers through code review and pairing, and maintain our internal standards for style, maintainability, and best practices through review
Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues
What you bring
Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't
Substantial professional experience writing and testing production code in a systems language, particularly Go and/or Rust, with depth in at least one. We use both, plus Ruby on the remediation side and Python for some analyzers, and value willingness to work across them.
Familiarity with package managers and dependency management in one or more language ecosystems, such as npm, Maven, pip, Bundler, or Cargo. Experience building tooling around them is better still.
Demonstrated application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) and the software supply chain
A track record of taking ownership of ambiguous problems and shipping with minimal guidance, with the self-motivation and organizational skills suited to a remote, largely asynchronous environment
Demonstrated capacity to communicate clearly and concisely about technical problems, and to write design proposals that bring a team to a decision
Helpful experience
Experience evaluating AI-driven detection against labeled data, including measuring false positives and missed findings
Experience with performance optimization at scale
Hands-on program analysis experience, such as parsing, ASTs, or data-flow analysis
Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration
Experience with containerized workflows and CI/CD (we use Docker heavily)
About the team
The Security Factory: Code Security team builds GitLab's code-level security scanning capabilities, spanning static application security testing and dependency scanning. We help developers find and fix security issues in both the code they write and the open source components they depend on, as early as possible.
We work closely with the Static Analysis team on GitLab's SAST engines, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones.
Remote-Global
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
$139,200
—
$235,200 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: Remote, Canada; Remote, Israel; Remote, United Kingdom; 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 Staff Backend Engineer on GitLab's Security Factory: Code Scanning team, you help developers find and fix security issues. Those issues live in the code they write, and you set the technical direction for the static analysis engine that finds them.
Your work spans two complementary parts of a complete security analysis. On the engine side, you shape how the static analysis toolkit models a program: parsing source into intermediate representations, resolving symbols, building call graphs, and tracking tainted data across files and languages. You define the architecture and specifications the team builds against, and you delegate component specifications within them to engineers and to the AI agents that implement them. On the evaluation side, you build and apply tooling that tests, measures, and validates what the engine finds against benchmark applications with known vulnerabilities.
What the engine can model and how we measure what it finds are parts of one picture. As a Staff engineer you hold that picture, shape the long-range technical goals of the team, and raise the bar for every engineer on it. We build the engine with AI agents that write and review code from written specifications, under human direction. We expect you to direct that work effectively and with good judgment, and to help the team do the same.
What you do
Act as the directly responsible individual (DRI) for the team's highest-scope initiatives from design through delivery, shipping large features with minimal guidance and shaping the long-range goals of the team
Bring systems built by one engineer to team ownership through documentation, tests, and shared review
Set the technical direction for the AI-assisted tooling that implements, reviews, and validates engine changes and findings, design the checks that decide whether an agent-written change or generated result is fit to merge, and measure detection quality against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes static application security testing (SAST) rules mapped to CWE and OWASP, and the test fixtures that prove they work.
Own the architecture of the program model (parsing, symbol resolution, intermediate representations, call graphs, and taint and data-flow analysis) and of the pipeline that turns source code into findings, and define how both extend to new languages and frameworks
Solve technical problems of the highest scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, UX, and partner teams such as Code Security and Composition Analysis
Mentor all engineers on the team through code review and pairing, remove blockers to their autonomy, and shepherd the definition and improvement of our internal standards through review
Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues
Define the overarching architecture and specification documents for the engine, delegate component specifications within them, and drive their implementation by AI agents and engineers working independently through phased plans, small reviewable units of change, and specifications kept in lockstep with the code
Build and maintain the harness, agent instructions, and agentic skills that keep agent-written code trustworthy, including separate coding and reviewing agents, rules and tests the coding agents cannot change, independent review panels of agents from different model providers, and performance, API, and dependency gates, with risky changes escalated to human review
Stay current with research in program analysis and security, run AI-assisted research and spikes, and turn the findings into prototypes, proposals, and upstream contributions, including responsible disclosure of findings in open source projects
What you bring
Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't
Extensive professional experience writing, testing, and reviewing production code in Rust, Go, or a comparable systems language, with depth in at least one. The engine is Rust, the analyzer wrapper is Go, and the monolith integration is Ruby, and we value willingness to work across them.
Experience with performance optimization and with containerized workflows and CI/CD (we use Docker heavily)
A deep program analysis and static analysis background, such as parsing and ASTs, intermediate representations (SSA, control-flow and call graphs), taint and data-flow analysis, type inference, incremental and fixpoint computation, or writing detection rules, with the ability to read, evaluate, and apply the research literature
Deep application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE)
Demonstrated capacity to communicate clearly and concisely about complex technical, architectural, and organizational problems, and to write architecture and design specifications that bring a team to a decision
A track record of taking ownership of ambiguous, team-wide problems and shipping them from concept to production with minimal guidance, with specific, regular async updates on progress, blockers, risks, and next steps
Experience defining a system's overarching architecture, delegating component specifications to engineers and AI agents, and getting them implemented reliably
A track record of mentoring engineers, raising a team's technical bar, and influencing technical direction by achieving consensus with peers and leadership
Helpful experience
Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration
Experience designing guardrails for agent-written code, such as mutation testing, fuzzing, and CI gates the coding agent cannot modify
A record of engaging with the research community, such as publications, tool papers, or upstream open source contributions in program analysis or security
About the team
The Security Factory: Code Scanning team develops GitLab's SAST capabilities for customer software repositories.
We work closely with the Code Security team on scanning rules & flows, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones.
Remote-Global
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
$152,800
—
$259,200 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: Colombia
Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located.
About The Role
We’re looking for a results-driven
B2B Sales Appointment Setter
to join a growing payment technology company. You’ll be responsible for engaging business owners and decision-makers, identifying their payment-processing needs, and converting outbound conversations into
high-quality, sales-ready appointments
for our closing team.
The ideal candidate has experience selling
payment processing, merchant services, fintech, SaaS, or B2B technology solutions
and is comfortable speaking directly with business owners and senior decision-makers.
Key Responsibilities
Conduct high-volume outbound prospecting and cold calling to business owners and key decision-makers.
Generate qualified sales opportunities for payment-processing and merchant-services solutions.
Conduct effective discovery to understand a prospect’s current payment setup, business needs, challenges, and potential opportunities.
Qualify prospects based on fit, need, interest, decision-making authority, and sales potential before scheduling appointments.
Handle common objections related to pricing, existing payment providers, contracts, switching providers, and general resistance to change.
Consistently schedule qualified appointments that progress through the sales pipeline and contribute to closed revenue.
Maintain accurate records of prospect conversations, follow-ups, qualification information, and appointment outcomes in the CRM.
Consistently meet or exceed individual activity, appointment, qualification, and conversion KPIs.
Requirements
2+ years of outbound B2B sales or appointment-setting experience
, with significant cold-calling experience.
Experience selling
payment processing, merchant services, fintech, SaaS, financial services, or B2B technology
.
Experience prospecting and selling directly to business owners, executives, or other decision-makers.
Excellent spoken English and professional phone presence.
Comfortable working in a performance-driven environment with measurable KPIs.
Benefits
Remote Working for US Company
Exposure to new technology & trend
Competitive Salary in USD
Location: New York, NY (HQ); San Francisco, CA; Remote (US); Miami, FL
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp's Accounting Channel is seeing exponential growth, and as an early member of the team, you'll have the opportunity to help scale the go-to-market engine and strategy that fuels a key growth driver for the company. At Ramp, we are looking for candidates with a proven track record of acquiring and building net new relationships with accounting and advisory partners, enabling and onboarding their team members, and achieving consistent quota attainment and overachievement through closing client referrals.
WHAT YOU'LL DO
- Source, qualify and conduct deep discovery with net new Accounting partners
- Sign partners and create comprehensive GTM plans
- Drive revenue for Ramp through generating client referrals from accounting firms
- Identify and build relationships with multiple stakeholders within an accounting firm
- Educate accounting firms on Ramp's offering and articulate the value props
- Hold monthly and quarterly business reviews with key accounting partners
- Work cross-functionally across marketing, growth, direct sales, and product & engineering to drive co-marketing opportunities, onboard new clients and inform our product roadmap
- Become an expert in Ramp's product, features, and workflows
- Build new (and improve existing) workflows and sales motions to contribute to our team's continued success
WHAT YOU NEED
- 3+ years of professional experience, ideally in Partnerships, Full-Cycle Sales, or a high-volume pipeline generation role
- Comfortable running a high volume of partner meetings each week and switching between activating new partners and growing existing ones
- Strong discovery skills, with a knack for identifying pain points and consultative selling
- History as a top performer, regularly exceeding targets and quotas
- Dedication to tracking and improving performance and efficiency on a daily basis
- Strong written and verbal communication skills, with excellent listening skills
- Bias for action and strong desire to work in a fast-paced startup environment
- Strong cross-functional collaborator who can build relationships across the company
- Experience with and affinity for AI tooling that empowers your work
NICE TO HAVES
- Prior experience partnering with accounting firms in a consulting, sales, or partnerships capacity
- Background or proficiency in accounting
- Experience across both pre-sales and post-sales roles
- Entrepreneurial, founding, or early-team experience where you wore many hats
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle
We’re looking for a Senior/Staff HR Business Partner to work directly with Runway’s leaders and teams on how they grow, organize and perform. You’ll advise managers and executives on people decisions, lead org design and talent programs, unblock teams so they can move faster and turn what you see across the business into HR priorities.
WHAT YOU’LL DO
- Partner with leaders on org design, headcount planning, team structure and leveling
- Coach managers and executives on performance, feedback, career development and difficult conversations
- Own complex employee relations cases from intake through resolution, including investigations, in partnership with Legal where needed
- Work with Compensation and Talent Acquisition on offers, promotions and market adjustments
- Use headcount, attrition, engagement and performance data to spot risks early and recommend action
- Design and roll out programs that fit how Runway’s teams work, from manager training to engagement initiatives
- Step in wherever the team needs it
WHAT YOU’LL NEED
- 7+ years of experience in HR, including at least four as an HR Business Partner supporting fast growing teams
- Experience at a high-growth company, ideally through periods of rapid headcount growth
- A record of advising senior leaders and earning their trust
- Strong employee relations experience, with sound judgment and discretion
- Working knowledge of employment law, compensation practices and performance management frameworks
- Clear written and verbal communication
- Comfort operating independently in a fast-paced, ambiguous environment
- A high ownership mindset and a team-first attitude
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
As a Staff Technical Account Manager, you’ll join 1Password’s Technical Account Management team, helping customers realize long-term value from their investment through implementation, adoption, and ongoing technical guidance. You’ll support complex customer environments, advise on identity, access, device trust, and Software as a Service (SaaS) security, and help shape scalable practices that advance 1Password’s mission to create a safer, simpler digital future. This role reports to the Sr. Manager of Technical Account Management and Solution Architects.
How we’re using AI today
Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.
This is a remote opportunity within the US or Canada.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we're looking for:
- Required: 8+ years of experience in a customer-facing technical role, such as Technical Account Manager, Solutions Architect, Solutions Engineer, or Implementation Consultant, ideally in a SaaS or Business-to-Business (B2B) security environment.
- Required: Experience leading technical onboarding and implementation conversations with technical and business stakeholders across complex customer environments.
- Required: Strong communication, storytelling, and demonstration skills, with the ability to translate technical concepts into clear business value.
- Required: Experience with identity technologies and protocols, including Single Sign-On (SSO), Security Assertion Markup Language (SAML), OpenID Connect (OIDC), and System for Cross-domain Identity Management (SCIM), as well as security frameworks such as SOC 2, ISO 27001, and the General Data Protection Regulation (GDPR).
- Required: Experience with SaaS products, cloud infrastructure, scripting or software development, DevOps practices, and tools such as Docker, Kubernetes, and command-line interfaces.
- Required: Ability to work autonomously in a remote-first environment, mentor peers, improve team practices, and collaborate effectively across functions.
- Preferred: Experience with 1Password or other password managers, SaaS lifecycle management, Mobile Device Management (MDM), device posture tools, and advising customers on evolving artificial intelligence (AI) technologies.
What you can expect:
- Own complex post-sale technical relationships, guiding customers from onboarding through adoption and renewal.
- Lead technical implementations, including integrations, configuration, and security reviews.
- Serve as a trusted technical advisor for strategic accounts and help customers achieve meaningful business outcomes.
- Partner with Customer Success Managers to identify risks, support expansion opportunities, and maximize customer value.
- Represent the customer perspective internally while collaborating with Product, Marketing, Support, and other cross-functional teams.
- Create and maintain scalable resources, playbooks, knowledge-base content, processes, and metrics.
- Mentor team members, contribute to enablement, support team leadership activities, and serve as an escalation point for complex technical challenges.
USA-based roles only: The annual base salary for this role is between $143,000 USD and $207,00 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $143,000 CAD and $207,000 CAD and is commission-eligible. The role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to work
We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement.
For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
УдалённоseniorAPAC; EMEA
УдалённоAmsterdam
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоRemote; Seattle, WA; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
УдалённоseniorRemote, Canada; Remote, United States; We rely heavily on asynchronous work across time zones; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоRemote, Canada; Remote, Israel; Remote, United Kingdom; Remote, United States; We rely heavily on asynchronous work across time zones; The base salary range for this role’s listed level is currently for residents of the United States only
ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Miami, FL; Relocation expense coverage to NYC or SF (if needed)
УдалённоseniorRemote; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
