Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel is building a best-in-class Enterprise Account Executive team to drive growth across our most valuable enterprise customers and high-potential prospects. As a Majors AE, you'll own a portfolio of 30-40 named accounts representing our largest revenue opportunities, working with Fortune 500 companies and leading technology innovators who are transforming how they build and deploy web applications at scale.
This is not a traditional enterprise sales role. You'll operate as a trusted business advisor to C-suite executives, orchestrating complex, multi-quarter deal cycles that span Vercel's full product suite. You'll build long-term strategic relationships with lighthouse customers, quarterback 7-8 figure deals, and collaborate closely with Product on first-of-kind enterprise offerings to grow the world's most sophisticated technical organizations into large accounts.
If you’re based within a pre-determined commuting distance of one of our offices (SF, Austin, or NY) the role includes in-office anchor days on Monday, Tuesday, and Friday.
What you'll do
Your involvement will center around helping companies understand their migration path to Vercel before taking them through the onboarding process and proactively managing the account thereafter.
You will continue Vercel’s dedication to providing an exceptional enterprise experience in the AMER market.
What you need
Top performer with history of success
Coachable and collaborative
Positive attitude
Team first attitude and no ego
Experienced with Enterprise SaaS sales cycle closing 6-7 figure deals
5+ years Enterprise SaaS experience
Able to sell to technical buyers / developers, driving process through legal, procurement, security,
Comfortable with outbound sales.
Ability to be self-guided, the team is very supportive, however we are also growing very quickly. Having the ability to accelerate and take ownership is key.
Love to work it out when challenged, happy to help create processes, rather than needing them all pre-defined.
Passionate about your customers and how Vercel solves their problems
Motivated, curious, hungry
Driver who can adapt to constant change and RAPID growth
Bonus if you
Have deep technical understanding of web technologies
Experience with web infrastructure / developer tools
Have an established network of technology companies
Have done some web-development
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The range for this role is $300,000-$340,000 OTE + equity. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Home Based - Americas; Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring a
Marketing Manager
Marketers at Canonical are brand stewards and demand creators.They transform complex open-source technology into messages, stories and strategies that shape the market understanding of our vision. Some focus on differentiated product and portfolio positioning; others specialize in account-based engagement, partner and alliance messaging, or product-led growth. Whatever their specialization, each marketer works as part of a cross-functional unit, contributing campaigns and insights that help the company learn and grow faster.
We have a bias for action, focus efforts on the most impactful activities and take ownership of our results. We work across long buying cycles, balance storytelling with data, design experiments, track outcomes, and iterate rapidly to find what works.
Marketers at Canonical don’t just promote open source; they amplify it, ensuring our innovations reach the right people, at the right time, with clarity and purpose from developers to decision makers.
Location:
Remote, EMEA and Americas
What your day will look like
Own end-to-end go-to-market planning and campaign execution across portfolios, territory or vertical.
Develop and lead marketing programs that engage with prospects to drive opportunities and revenue.
Collaborate closely with other marketing teams to improve content performance and conversion through data-driven insights.
Partner with events, content, paid media, and social media teams to execute integrated campaigns across channels.
What we are looking for in you
Experience in a marketing role in the technology sector (SaaS or enterprise IT preferred).
Data-driven mindset with the ability to evaluate performance and optimize for impact.
Comfortable balancing strategy with hands-on execution, a true self-starter.
Strong storytelling skills—you know how to craft messaging that resonates with both technical and business audiences.
Excellent written and verbal communication skills.
Adaptable, fast learner with a growth mindset and a passion for innovation.
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments.
Few teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Dedicated Inference team:
- Chains for multi-component workflows https://www.baseten.co/blog/baseten-chains-explained/
- Asynchronous inference https://www.baseten.co/blog/using-asynchronous-inference-in-production/
- Model APIs for frontier models https://www.baseten.co/products/model-apis/
- Model training built for production inference https://www.baseten.co/products/training/
RESPONSIBILITIES
- Implement new features and products for the team
- Design ergonomic APIs and abstractions to solve customer problems
- Fix bugs and resolve customer issues with urgency
- Work across the stack - regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods
- Work closely with the product and forward deployed engineering teams to develop and drive new product ideas
REQUIREMENTS
- Bachelor's degree or higher in Computer Science or related field
- Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or JavaScript proficiency is a plus
- Familiarity with web applications & databases
- Good taste in product, particularly developer-oriented tools
- Interest in ML/AI infrastructure and willingness to learn
- Strong collaboration and communication skills
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Home based - Worldwide
You will work across the full Linux stack from kernel through networking, virtualization and graphics to optimise Ubuntu, the world’s most widely used Linux desktop and server, for the latest silicon.
Our teams partner with specialist engineers from major silicon companies to integrate next-generation features and performance enhancements for upcoming hardware.
This is an excellent opportunity for someone who wants to have a meaningful impact on the adoption of Linux across multiple industries. The right candidate must be resourceful, articulate, and able to deliver on a wide variety of solutions across server, desktop and IoT technologies. Canonical offers a fun, fast-paced team environment and a career full of learning and development opportunities.
Location: This is a Globally remote role
What your day will look like
Design and implement the best Ubuntu integration for the latest IoT desktop and server-class hardware platforms and software stacks
Work with partners to deliver an optimised, first class Ubuntu experience on their platforms
Take a holistic approach to the Ubuntu experience on partner platforms with inputs on technical plans, testing strategy, quality metrics
Participate as technical lead on customer engagements involving complete system architectures from cloud to edge
Help our partners integrate their apps, SDKs, build device OS images, and optimize applications with Ubuntu Core, Desktop and Server
Work with the most advanced operating systems and application technologies available in the enterprise world.
Joining Canonical, you will partner with bright minds from all over the world, and work with an exciting set of new technologies in a fast growing company with a truly unique and ambitious vision to build a better platform with free software. You will work with customers on exciting IoT, desktop and server platforms and technologies, built to support different verticals: from robots to data centers, from telco to retail, as well as automotive.
What we are looking for in you
You love technology and working with brilliant people
You have a Bachelor’s degree in Computer Science, STEM or similar
You have experience with Linux packaging (Debian, RPM, Yocto)
You have experience working with open source communities and licences
You have experience working with Python, C, C++
You can work in a globally distributed team through self-discipline and self-motivation.
Nice to have
Experience with server technologies, including UEFI firmware, GPU computing, RDMA/Infiniband and virtualization stacks
Experience with graphics stacks
Good understanding of networking - TCP/IP, DHCP, HTTP/REST
Basic understanding of security best practices in IoT or server environments
Good communication skills, ideally public speaking experience
IoT / Embedded experience – from board and SoC, BMCs, bootloaders and firmware to OS, through apps and services
Experience working with CI automation platforms such as GitHub
Experience with performance benchmarking and profiling
Some experience with Docker/OCI containers/K8s
What we offer you
Learning and development opportunities
Annual compensation review
Recognition rewards
Annual leave
Priority Pass for travel
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel is looking for engineers to help us build functional systems that improve product and customer experience. As a member of the Edge team, you will help to scale and improve our infrastructure, availability and reliability by working with our backend engineers and product team to identify problems, create tooling and automation.
Your role will be dynamic - you should be comfortable designing systems, writing code, and debugging systems in production. Our team orchestrates deploying, routing and serving for our customers through capabilities and tooling we maintain that leverage our own and other cloud providers' infrastructure for networking, TLS termination, routing, storage, caching and other novel edge services.
If you’re based within a pre-determined commuting distance of one of our offices (SF or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you need
Intrigued by tackling the complex challenges serving petabytes of data and billions of requests to millions of people
A collaborative team player who believes in the power of strong teams to drive significant changes and innovations
Have at least 5 years of relevant experience
Have deep experience with how to make high performance systems scale in the cloud
Want to help protect the Vercel platform and our customers from abuse
Are keen to experiment, challenge norms and deliver secure and reliable systems that delight Vercel's users
Are knowledgeable and experienced with web servers, network protocols
Comfortable in Golang
Familiar with Cloud Services (e.g. AWS, Google Cloud, or others)
Experience with Terraform, Kubernetes, Lua, React and Next.js are nice-to-have!
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
#LI-DNI
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring a senior design manager to play a key role making open source software available to the world. Our Design function ensures the experience of the software and infrastructure we build is true to our intentions, and delivers the tools our community and customers need. The Design Manager makes this possible through leadership within, and beyond, our teams.
As a Senior Design Manager, you bring both experience managing design teams and have expertise in a deeply technical domain. This enables you to coach designers in creating tools for developers and cloud engineers, and cross-context to move towards tangible outcomes and lift the quality of their work. You will manage expectations and ensure deadlines are met in a timely manner against your roadmap. You will be able to communicate clearly and actively listen to product and engineering stakeholders, and your team, to drive sustainable quality improvements and guide individuals towards meaningful growth.
Leading the Infrastructure Design team, you will take responsibility for the products that help to build cloud experiences and software distribution mechanisms, and you will help to evolve the security of how software is packaged and delivered.
Location:
This role will be based remotely in the EMEA region
What the role entails
Reviewing the work of your design team for quality
Working with individual designers to support their professional growth
Continuously improving operational workflows, including production outsourcing and collaboration with Web Engineering
Working with stakeholders, especially the Engineering organization, to clearly define and validate outcomes
Evolving design systems and guidelines to drive consistent quality and improve efficiency
Coordinating with the rest of design leadership to mature our collective practice
Bringing your team and others together to share their work and strengthen culture
Engaging the open source community to learn and make the value of our work legible
What we are looking for in you
A portfolio demonstrating outstanding quality in UX design and savviness in technology
Exceptional educational achievements in design or related behavioral science discipline
Full lifecycle experience from user needs discovery through validation and implementation guidance
Commitment to transparent project delivery and owning team deadlines
Experience of managing a team that interacts with technical stakeholders
Familiarity with quantitative optimisation approaches
A passion for balancing consistency and innovation
Willingness to travel up to 4 times a year for internal events
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Home based - Worldwide
Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS in the cloud.
In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.
The role of a Sales Development Representative at Canonical
Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.
Click
HERE
to watch our SDR team discuss their role in Canonical
What your day will look like
Handle inbound customer inquiries across email, phone and chat
Execute outbound sales & marketing campaigns
Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
Collaborate across multiple teams and senior stakeholders to drive results
Work directly with marketing on campaigns
Research information about prospective customers
Generate a multi-million pound pipeline
Identify prospects and market trends
Help define the processes and policies for the team
Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
Accurately create, update, maintain and nurture leads on global opportunities
What we are looking for in you
Excellent academic results at school and university
Passion for business and technology
Commitment to continuous learning and improvement - curious, flexible, scientific
Creative problem solving and cross team collaboration
Verbal and written communication skills
Result driven with an over-achiever spirit
Persistence & perseverance
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
Personal learning and development budget of 2,000USD per year
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What’s the opportunity?
We are looking for a Senior Engineer to join the team
that enables the core technologies that Fin is built on
. This role is especially compelling for engineers who enjoy scaling Elasticsearch in production and who also like working across adjacent systems such as MySQL, ingestion pipelines, and owning how they operate from low level systems engineering to all parts of our Rails and monolith.
Our team’s mission is to accelerate Fin’s growth and stability through educated and operationally excellent
core technology
usage. This means that we’re here to help product engineers and ML scientists build simpler, more performant product - faster. This can be through things like making low level database improvements that enhance everyone's experience, building best in class Elasticsearch tooling, or partnering with teams that utilise any of Fin’s core technologies or our build patterns. Previous projects from the team include
future-proofing our databases through sharding
and building
a mechanism to migrate Elasticsearch indexes for scale and profit
.
We’re building a robust platform where your expertise will be applied to areas such as building a beautiful Messenger, an efficient teammate experience, a secure by default system, all while scaling the platform to billions of users and shipping two hundred new versions of Intercom to production every day.
Delve deeper into our engineering culture at
Fin.engineering
and explore
our engineering values
.
What will I be doing?
Own high-impact work on Elasticsearch at scale, including index design, shard and partitioning strategy, cluster health, performance tuning, safe migrations, and operational excellence.
Collaborate with world-class domain experts to shape our technical direction and infrastructure as we grow.
Deeply own aspects of our infrastructure at Fin and autonomously executing on high impact projects - including writing application code, automating systems, improving observability and low-level tuning of datastores used in production, test and development across Fin.
Value agility and simplicity, just as you prioritise scalability and uptime. Our continuous deployment approach ensures focus on gradual improvements. Major accomplishments are introduced incrementally, staying under the radar with feature flags.
Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as strategic work and enablement.
Play an active role in the hiring, mentoring, and career development of other engineers.
Raise the bar for technical standards, performance, reliability, and operational excellence across Fin.
What skills do I need?
Excellent pragmatic engineering skills.
5+ years experience in a production environment, with contributions to the design and architecture of distributed systems.
Strong experience with at least one major production datastore or search system, with Elasticsearch being especially relevant for this role.
Good judgment around Elasticsearch in real-world systems, such as index and mapping design, cluster operations, scaling patterns, performance tuning, or migrations.
Expertise in backend technologies such as MySQL, Memcached, as well as Linux.
Ideally, you’ve supported scaling a SaaS product in a previous role and loved the satisfaction that comes with knowing that people around the world are using something you’ve created.
Significant, demonstrated impact that your work has had on the product and/or the teams you worked with.
Proficient with standard software engineering methodologies, e.g. unit testing, object-oriented design, data structures, code reviews, design documentation, and utilising observability tooling.
Understanding of modern web apps and distributed systems, along with an ability to articulate technical challenges and solutions.
Experience as a technical lead for large multi quarter projects and programs including defining the roadmap.
Ability to learn quickly, iterate, unblock yourself, and persist until the right problem is solved.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures.
Responsibilities:
Designing and implementing from scratch new information architecture strategies
Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures
Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data
Designing and evaluating advanced agentic search capabilities.
You may be a good fit if you:
Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using
Have good machine learning research experience
Have experience developing software that utilizes Large Language Models such as Claude
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair!)
Want to partner with world-class ML researchers to develop new LLM capabilities
Care about the societal impacts of your work
Have clear written and verbal communication
Strong candidates will also have experience with:
Collaborating with product teams to quickly prototype and deliver innovative solutions
Building complex agentic systems that utilize LLMs
Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
Multi-Agent systems are becoming an increasingly important part of how AI is deployed, whether via fast small-model subagents inside a product, or
large groups of agents
solving
very large problems
. Training Claude to be maximally effective and safe within large groups is a challenging new area of reinforcement learning, and represents a new axis for scaling test time compute.
We are looking for researchers who have experience training multi-agent systems at the largest scale and an appreciation for the incentives and mechanism design that come into play.
Responsibilities:
Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks
Ideate, develop, and compare the performance of different agent harness configurations (eg memory, context management, communication architectures for agents)
Design and implement rigorous quantitative benchmarks for large scale agentic tasks
Work with our product org to find solutions to our most vexing challenges in applying agents to our products
You may be a good fit if you:
Have experience with large-scale RL on language models
Have experience training multi-agent systems
Enjoy going deeply into the roots of a problem and understanding its foundations, rather than its surface.
Have good communication skills and an interest in working with other researchers on difficult tasks
Have a passion for making powerful technology safe and societally beneficial
Are excited for a mission-driven org with fast-paced, impactful work
Representative projects:
Design and build reinforcement learning environments to train groups of Claudes how to solve problems together efficiently
Design and build agent affordances that unlock new capabilities and scales of agents, while keeping the Bitter Lesson in mind
Design and build a novel eval that measures how large teams of agents interact in groups to solve problems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.
You may be a good fit if you:
Have significant software engineering or machine learning experience, particularly at supercomputing scale
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair!)
Want to learn more about machine learning research
Care about the societal impacts of your work
Strong candidates may also have experience with:
High performance, large-scale ML systems
GPU/Accelerator programming
ML framework internals
OS internals
Language modeling with transformers
Representative projects:
Implement low-latency high-throughput sampling for large language models
Implement GPU kernels to adapt our models to low-precision inference
Write a custom load-balancing algorithm to optimize serving efficiency
Build quantitative models of system performance
Design and implement a fault-tolerant distributed system running with a complex network topology
Debug kernel-level network latency spikes in a containerized environment
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$280,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Home Based - Americas
Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS in the cloud.
In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.
The role of a Sales Development Representative at Canonical
Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.
Click
HERE
to watch our SDR team discuss their role in Canonical
What your day will look like
Handle inbound customer inquiries across email, phone and chat
Execute outbound sales & marketing campaigns
Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
Collaborate across multiple teams and senior stakeholders to drive results
Work directly with marketing on campaigns
Research information about prospective customers
Generate a multi-million pound pipeline
Identify prospects and market trends
Help define the processes and policies for the team
Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
Accurately create, update, maintain and nurture leads on global opportunities
What we are looking for in you
Excellent academic results at school and university
Passion for business and technology
Commitment to continuous learning and improvement - curious, flexible, scientific
Creative problem solving and cross team collaboration
Verbal and written communication skills
Result driven with an over-achiever spirit
Persistence & perseverance
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
Personal learning and development budget of 2,000USD per year
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: New York City; Austin
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
THE ROLE
Synthesia is hiring Strategic Account Executives to land and expand some of the world’s most recognizable brands (20k+ employees). Drawing on your experience in methodological, value-driven sales, you’ll own the full cycle from pipeline generation to closing and growing multi-threaded relationships across the business. You’ll report to the Director, Strategic Sales and work alongside a team that’s reshaping how enterprises create video with AI.
WHAT YOU'LL DO
- Land and expand our largest enterprise accounts by owning a named-account book and driving net-new and expansion ARR through multi-threaded, multi-stakeholder deals.
- Build your own pipeline through account-based prospecting that creates qualified opportunities across your target accounts.
- Forecast accurately and consistently hit quarterly revenue targets.
- Build and execute strategic account plans that map org structure, buying committees, and whitespace across business units, with clear owners, milestones, and executive sponsors.
- Partner closely with Customer Success to drive adoption, secure renewals, and uncover expansion so every landed deal keeps growing.
WE’D LOVE TO HEAR FROM YOU IF YOU HAVE
- A track record of landing and expanding high-value B2B SaaS logos, with quotas of $1M+ and a history of closing six-figure deals.
- Proven success prospecting into new accounts and delivering value-based product demonstrations.
- The ability to uncover client pain points and craft differentiated value propositions that make the ROI undeniable.
- Experience selling in a rigorous, value-driven environment using a methodology like MEDDPICC.
- Strong business acumen, with examples of building business value and champions inside complex, global organizations.
- Strong written and spoken communication in English.
WE’D BE PARTICULARLY EXCITED IF
- You have experience with video SaaS
- You bring experience and/or interest in AI
- You thrive in a fast paced, dynamic environment!
Compensation
We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role. The range for this position is $300,000-$340,000 OTE (50/50 split) and we are open to discussing where you land within it, or beyond it, for exceptional experience.
Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.
This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.
To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
- Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/
- The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/
- Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/
- Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/
RESPONSIBILITIES
- Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
- Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
- Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
- Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
- Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
- Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
- Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- 2+ years of professional work experience in a fast-paced, high-growth environment.
- Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
- Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
- Strong communication skills, particularly on complex technical topics.
- Experience in building or optimizing AI/ML projects is highly valued.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: New York City; Austin
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
THE ROLE
Synthesia is hiring Enterprise Account Executives to land and expand Enterprise customers (1k–20k employees). Drawing on your experience in methodological, value-driven sales, you’ll own the full cycle from pipeline generation to closing and growing multi-threaded relationships across the business. You’ll report to the Director, Enterprise Sales and work alongside a team that’s reshaping how Enterprises create video with AI.
WHAT YOU'LL DO
- Run the full sales cycle, from cold outreach to close, within your assigned Enterprise territory.
- Own your pipeline while building your account plans and identifying top targets within those accounts.
- Leverage MEDDPICC to accurately qualify and identify risk across all opportunities throughout the sales funnel.
- Sell across diverse lines of business, multi threading and understanding customer and prospect pain points.
- Expand Synthesia’s footprint to additional teams that can benefit from our solutions.
- Manage all sales activities in the CRM (Salesforce).
WE’D LOVE TO HEAR FROM YOU IF YOU HAVE
- Proven outbound seller with a PG mindset, experienced in prospecting into new accounts, running value-based product demos, and closing and expanding Enterprise accounts.
- The ability to identify client pain points and develop unique and compelling value propositions focused on delivering ROI.
- Experience in reputable, value-driven, methodological sales environments, ideally using MEDDPICC, CoM, or similar.
- Strong business acumen and examples of how you’ve built business value and champions across organizations.
- Strong written and spoken communication in English.
WE’D BE PARTICULARLY EXCITED IF
- You have experience with video SaaS
- You bring experience and/or interest in AI
- You're based in NYC or Austin and are able to work hybrid from our thriving offices!
COMPENSATION
We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role. The range for this position is $200,000-$280,000 OTE (split 50/50), and we are open to discussing where you land within it, or beyond it, for exceptional experience.
Location: Remote
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
We are looking for a passionate Design Engineer to join Runway Labs — our research and exploration team pushing the frontier of AI video and General World Models. This is not a role focused on Runway core consumer products; instead, you’ll be embedded in a fast-moving lab environment where the work is exploratory, experimental, and technical.
This candidate should be a motivated self-starter with experience working closely with engineering and research teams to rapidly prototype and ship. You'll explore new interfaces and interaction paradigms for AI generated video, world models, and agentic systems helping translate cutting-edge research into tangible, usable experiences.
This role requires a blend of design skills and technical expertise, along with a genuine passion for both. As part of a small team, you’ll collaborate with researchers, engineers, and product designers to develop concept prototypes, design high-value interactive features, and build tools that enable new creative and research workflows.
WHAT YOU’LL DO
- Prototype and implement novel user experiences at the intersection of AI video, world models, and emerging generative media
- Design and build agentic tools and interfaces that allow researchers and creatives to interact with and direct AI systems in real time
- Explore new application areas for AI video and general world models — from simulation and interactive media to research tooling
- Stretch the limits of front-end engineering to broaden what’s possible in research and experimentation contexts
- Create internal tools and frameworks used across design and engineering teams at Runway Labs
- Work alongside researchers, engineers, and product designers to shape how we think about the future of AI-driven creativity
WHAT YOU’LL NEED
- Genuine curiosity about AI video, world models, agentic engineering and generative media and an intuition for how to design meaningful interactions with these systems
- Experience designing flows, prototypes, and high-fidelity UIs for web and agentic products
- Experience building agentic tools or interfaces — i.e., systems where AI takes actions, reasons over state, or drives multi-step workflows
- Strong understanding of visual and interaction design, as well as usability testing
- Comfort working in ambiguous, research oriented environments where the problem space is still being defined
- Strong understanding of visual and interaction design, as well as usability testing.
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: Paris, Remote
Workplace: remote
Our R&D team gathers ~100 engineers divided into ~15 product and technical squads. Each product squad includes developers, product managers and designers. They are paramount to 360Learning’s response to our increasingly demanding customers and are strategic players for the growth of the company.
Today, we need someone to drive the Technical vision and coach the other developers in the Analytics Squad. We created the Tech Lead role to help developers with the technical aspects of their jobs, such as coding and planning, and coordinate the delivery timeline with Product Managers and Product Designers. As a Technical Lead you will:
be the point of contact for all technical topics from the squad (you can then redirect to another member of the squad)
be the coach for the other developers of the squad (do Performance reviews and Career Path assessments)
keep coding since management will take ~20% of your time
participate in monthly meetings altogether with CTO and Engineering Director to celebrate successes and discuss technical or organizational challenges
You will report directly to the VP Engineering & Engineering Director
Within 1 month you will:
Discover 360Learning, its platform, its teams and its culture
Become familiar with how our R&D way of working
Understand the team's processes
Within 3 months you will:
Support your product squad: each squad has clear goals for innovation (e.g. driving users to create more courses), while also maintaining and improving product features and codebase that fall under its scope
Follow and coach the software engineers of your squad
Start identifying our developers' key strengths and areas of improvement to help them grow
Solve proactively challenges the developers are facing
Lead Performance Reviews and Career Path assessments calibration
Work with the CPTO and the Engineering Director on maintaining your squad’s engagement
Within 6 months you will:
Share your best practices within the team
Create your own courses on the 360Learning platform
Suggest and implement process improvements in the squad
Maintain a good team spirit, for instance by organizing team-building activities (sync or async)
Ensure your team is able to ship valuable features, while maintaining the timing and the quality
Work with the product manager to define the product vision and set the technical direction for that part of our platform
Join cross-team initiatives (e.g. organizing Hackathons)
Within 12 months you will:
Share process improvements with all the squads, and help them implement these changes
Push for technical innovations in the squad and outside
Identify the career next steps of your team members and define an action plan to reach them
The Skill Set:
You have either formally or informally served as a tech lead/mentor/coach for a team of software engineers working on a Saas platform for 2+ years.
You have led technical initiatives in an environment where performance, reliability, and accuracy are paramount and where “feature development” and roadmaps are measured in months and quarters.
You have significant full stack programming experience including experience with Agile methodologies, SaaS software architecture, and modern programming languages
You have a product-oriented mindset and care deeply about the customers and the customer experience.
Excellent leadership, communication, and collaboration skills
Fluent English (US/UK) / B2 level or equivalent (FR)
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
What we offer:
Compensation:
Package includes base salary and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter:
360learning.com/blog/corporate-social-responsibility-charter
🌎🌏🌍
Culture
: A framework that will make you successful - envision what's it like to join 360Learning from onboarding to ramp-up, and beyond: 🚀👩🏻💻🏆
https://360learning.com/blog/360learner-journey/
Interview Process:
Phone Screen with our Talent Acquisition Manager
Technical Test on HackerRank
Discovery Meeting with one of our Software Engineers
Case Study with an Engineering Director and our VP Engineering
Culture Fit with an Engineering Director
Ref Checks
Offer!
⇾ Get prepared for your interviews with our
Knowledge Base
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
УдалённоHome Based - Americas; Home based - EMEA
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
