Location: San Francisco, CA | 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
As the Content Strategy Lead for Executive Programs, you will own what Anthropic brings to the table when we sit down with senior leaders from our most strategic customers. That covers Executive Briefings, Customer Advisory Boards, Executive Councils, and the other small-room gatherings where a C-level audience meets with our leaders, product teams, and researchers. You will set the content strategy across these programs, build the library of modules and the bench of speakers, and lead the team that keeps our content fresh as our models and products evolve.
This role works cross-functionally with Product & Solutions Marketing, who owns positioning and messaging across industries and products, and customer programs which owns each program's operations, intake, and customer experience. You own the layer in between: turning Anthropic's product, research, and policy story into sessions built for an executive audience, deciding who is best placed to deliver them, and designing interactive formats and demos that work for customers building on the frontier.
The right candidate has a product marketing or narrative background, has built content for C-level customer audiences at an enterprise technology company, and has managed a team.
Key responsibilities
Set and execute the content strategy across Executive Briefings, Customer Advisory Boards, Executive Councils, and other gatherings of strategic customers: the themes for the year, the narrative that connects them, and how content differs by program, audience, and purpose.
Build and maintain an evergreen library of content modules that program leads and account teams can assemble into an agenda without starting from scratch. Modules span product and roadmap, research, safety and policy, industry and use-case sessions, demos, and discussion guides.
Keep the library current. Set a refresh cadence tied to model and product launches, retire what is stale, maintain a pipeline of net-new content modules, and make sure nothing in front of a customer executive is out of date.
Identify, recruit, develop and certify speakers from Anthropic's executive, product, research, and go-to-market teams. Maintain the cross-program roster, shape each speaker's session, and prepare them for the room.
Design the experience, not only the presentation. Choose the format that fits the audience and the goal, whether that is a working session, a live demo, a conversation with a researcher, or a peer discussion among customers.
Partner with program leads on agendas for the highest-priority engagements, tailoring modules to the customer's objectives. Set the standards and templates that let every other engagement meet the same bar.
Work with Product & Solutions Marketing, Product, and Research so that executive-level content is ready when a launch happens, not weeks after.
Capture what customers say in these rooms, including themes, objections, and requests. Route it to Product, Research, Marketing, and go-to-market leadership, and use it to improve the content.
Measure what works, including session feedback, module usage, and speaker performance, and work with program leads to connect content to program outcomes.
Hire, manage, and develop the team responsible for executive program content, and set its quality bar.
Use Claude to scale the work: build workflows that tailor modules to a customer's industry and priorities so a customized session does not require a rebuild.
Minimum qualifications
Built content for C-level customer audiences in executive briefings, advisory boards, executive councils, or similar programs.
Built a content system that other people rely on, such as a module library, a session catalog, or a speaker program, and kept it current through frequent product change.
The technical fluency to work directly with researchers and engineers, understand what they have built, and explain it accurately to a business executive.
Experience coaching senior executives and technical experts as speakers, including giving direct feedback on their material.
Judgment about format: you know when a room needs a presentation, a demo, or a facilitated discussion, and you can design each one.
Experience managing people, including hiring and developing a team.
A high bar for writing. You can draft an executive session narrative yourself and improve one written by someone else.
Genuine interest in AI and in helping the world's largest enterprises adopt it responsibly.
Preferred qualifications
12+ years in product marketing, executive content, or executive customer programs at a B2B technology company. You have owned positioning and messaging for a technical product and know how to adapt it for different audiences.
Experience at a company where the product changes quickly and content has a short shelf life.
Hands-on experience using AI tools to produce or tailor content.
Experience facilitating executive discussions, not only preparing others to lead them.
Worked with customers in regulated industries such as financial services, healthcare, or the public sector.
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:
$320,000
—
$400,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: India (remote)
Workplace: Remote
About Us
Axelera AI https://www.axelera.ai is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.
In just five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 20 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.
We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million.
Our unwavering commitment to innovation has firmly established us as a global industry pioneer.
Are you up for the challenge?
Position Overview
You will be our first Marketing hire in Asia-Pacific, with full-funnel responsibility across Taiwan, Japan, Korea, India, and Southeast Asia — awareness through to pipeline, and the brand that holds it together.
This is a build. There is no regional team waiting for you, no established agency roster, no library of localized content. In your first months you will take the work done globally and make it more relevant locally, but quickly need to be deciding what is led from APAC and what a long term strategy looks like, including (but not limited to): which local partners have the biggest impact globally, what launch looks like in Bangalore versus Tokyo versus Taipei, and how a European company earns credibility with engineering buyers who have never heard of us.
As the first hire, you need to bridge hands-on tactical work with building the strategy Axelera needs for success. Over time, we will hire more people in region, but for now, the best candidate will be excited about seeing and owning the entirety of the marketing funnel locally (with support from your global peers). The split between hands-on and strategic will shift as the region grows, but in year one you should expect to be writing briefs, sitting in booths, and reviewing/editing content yourself.
Key responsibilities:
- Own the APAC marketing plan and budget, and make the case for where regional investment goes
- Run full-funnel programs in-region: demand generation, content, digital, PR, and the events that matter in each market
- Make our positioning land locally — not just translated from English, but written for the engineers and executives who will read it
- Own our presence at regional events, from Computex and SEMICON through to the country-level shows where our customers engage
- Work with the Sales teams in-region so marketing follows the accounts and relationships that matter most
- Feed what you learn back to the global marketing team, and bring global launches into the region properly
- Report on pipeline contribution, and be honest about what is working and what is not
Qualifications
You need these:
- Full-funnel B2B technology marketing experience in APAC, including both strategy and your own hands on the work
- A track record across several of our markets — Taiwan, Japan, Korea, India, Southeast Asia — and a clear view of how differently each one behaves
- Experience selecting, briefing, and managing agencies, with the judgement to know when to outsource and when not to
- Comfort with technical products and technical audiences, ideally in semiconductors, hardware, embedded systems, or infrastructure
Helpful, not required:
- Experience as an early or first marketing hire in a region
- Existing relationships with regional trade press and analysts
- Familiarity with compute ecosystems and how they shape go-to-market
- Professional English plus at least one regional language, with the cultural fluency to review local-language work and catch what is wrong with it
How We Work
You will have real autonomy, and real exposure. Nobody will set your priorities for you or check your calendar. You are also the only marketing voice in the region, which means the strategy is yours to propose and yours to defend. People who have wanted this kind of room for years tend to do the best work of their careers here.
You will use AI every day, and you will know where it should stop. We use it heavily — research, first drafts, analysis, campaign production, anything that buys back hours. We expect you to arrive having already built it into how you work, not planning to start.
We also need you to hold the line on quality. A machine translation into Japanese or Traditional Chinese can read fluently and still be wrong in ways nobody at headquarters can see. A generated case study can be plausible and inaccurate. In a region where we are still earning the right to be taken seriously, that costs us more than it saves. The best person for this role uses AI to produce better work, then applies a standard that protects the brand rather than quietly lowering it.
You will learn a lot. Not marketing — you should arrive knowing that. But this market moves fast and we are here to both shape its future but also lean into it.
What Success Looks Like in Year One
- A regional marketing plan with named priority markets, a budget behind it, and agreement from the business on both
- Working agency relationships in your priority markets, producing material that meets our standard in local languages
- Measurable marketing-sourced and marketing-influenced pipeline in-region, reported consistently
- Axelera present and credible at the regional events that matter to our customers and partners
- A clear recommendation on what the APAC marketing team should look like next
Location
This role is based in India, with a remote setup. Our goal is to hire the best possible talent and let them live where they choose. You should expect to travel roughly 20% of the time across the region, with periodic trips to meet with the global team. Some overlap with European and American working hours comes with the job.
What we offer
This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.
An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.
At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.
Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.
Location: United Kingdom; Ireland; Romania; Cyprus; Malta; Canada
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken's Market Surveillance function is responsible for detecting, investigating and reporting market abuse across our regulated trading venues, spanning spot crypto markets, crypto futures, tokenised equities, OTC markets and consumer trading. As our licensing footprint and product range grow, so does the scale and complexity of the surveillance programme behind them.
We are hiring several Senior Compliance Associates to carry out day to day surveillance across our markets, investigate what that surveillance uncovers, and help us build the programme out as the business grows.
THE OPPORTUNITY
- Review and disposition surveillance alerts across our regulated markets, and record the reasoning behind each decision clearly enough that someone else can follow it.
- Carry out analytical reviews that begin with trade and order data rather than with a system-generated alert.
- Investigate escalated behaviour end to end: gather the data, reconstruct what happened, and write it up for presentation to senior compliance stakeholders.
- Assess referrals raised from across the business and externally, and take forward the ones that warrant it.
- Draft suspicious transaction and order reports and suspicious activity reports.
- Produce management information and regulatory reporting for the entities we cover.
- Contribute to surveillance platform and tooling work, including bringing new products and data sources into scope and testing that detection behaves as intended.
- Use AI and automation tools to speed up evidence-gathering and case reconstruction, with human judgement over the final call.
WHAT YOU BRING
- At least 2 years experience in trade surveillance, market abuse investigation or trading conduct inside a regulated firm, such as an exchange, broker-dealer, trading venue, bank or comparable regulated trading business.
- Working knowledge of the core market abuse typologies, for example spoofing, layering, wash trading, insider dealing, front running and ramping.
- Experience reviewing and dispositioning surveillance alerts, and writing up what you found to a standard others can rely on.
- Clear, evidence-first written communication. Your case files and escalations will sometimes be read by auditors and regulators without you in the room to explain them.
- Comfort using generative AI and other automation tools to improve the speed and quality of investigative work, while maintaining the oversight that regulated casework requires.
- Based in the UK, Ireland, Cyprus, Malta, Romania or Canada, with fluency in English.
NICE TO HAVES
- Exposure to crypto-asset markets is welcomed but not required.
- Hands-on use of a surveillance platform such as Scila, Nasdaq SMARTS, Eventus or NICE Actimize.
- SQL or a similar query tool for evidence-gathering.
- Experience drafting suspicious transaction and order reports or suspicious activity reports.
- Electronic communications surveillance experience.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Bogota
Are you a curious, proactive Law student eager to gain experience at a m
ultinational before graduating?
Join Betsson as a
Legal Intern
and turn your studies into hands-on experience, learning from legal professionals while supporting the business.
The Wow
Get a behind-the-scenes look at how a Legal team helps a global business move forward.
You’ll have the opportunity to ask questions, contribute ideas, and build your confidence as you take your first steps in your legal career.
A taster of what you will be involved with:
Support the preparation, review, and administration of contracts, agreements, and legal documentation.
Maintain accurate and organized legal records, ensuring documentation is easily accessible and up to date.
Assist with contract tracking, renewals, and document management processes.
Collaborate with internal stakeholders to gather information and documentation required for legal matters.
Conduct legal research and summarize findings to support the team on various projects.
Help monitor compliance with internal policies and legal requirements.
Support the continuous improvement of legal processes, templates, and documentation practices.
Provide general administrative and operational support to the Legal team as required.
What we are looking for
You are currently
pursuing a Law degree,
ideally in the final years of your studies.
You have a strong interest in corporate, commercial, employment, or general business law.
You are highly detail-oriented and take pride in producing accurate, high-quality work.
You have a process-focused mindset and enjoy working in a structured and organized way.
You are proactive, curious, and eager to learn from experienced professionals.
You handle confidential information with professionalism and discretion.
English language skills are considered an advantage.
Intern modality
40 hours per week
Nice-to-have
Basic knowledge of contract management or legal documentation.
Good working knowledge of Microsoft Office tools, particularly Word and Excel.
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
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?
Fin's Customer Education team drives customer onboarding, adoption, and transformation at scale through on-demand and live educational experiences. Live programming has the opportunity to genuinely connect with customers in unique ways that cut through the noise to build relationships that drive adoption. As a result, we’re looking for someone who can make this program exceptional.
As our Senior Customer Education Manager, Live Programs, you'll own the live training program end-to-end: designing the curriculum, building and delivering the content, running our flagship Fin Academy Live event, and supporting strategic customers alongside our Deployment Services team. This is a high-visibility role where you'll regularly present to users, admins and C-suite audiences, and shape how Fin shows up in the room.
This role requires travel to support live events and customer engagements throughout the year.
What will I be doing?
Own the live education program end-to-end by setting the vision, roadmap, and success metrics for what we run, for whom, and to what outcome.
Design and deliver engaging, live experiences including webinars, cohorts, in-person workshops, and our annual Fin Academy Live event in order to drive customer outcomes and retention.
Partner with the Deployment Services team to define, create, and deliver tailored training to Enterprise customers, ensuring their teams are able to manage and scale Fin past the initial deployment.
Partner with the Customer Education team to plan and maintain a holistic training curriculum that supports our customers’ and company’s objectives to provide a cohesive, end-to-end learning experience across all of Fin Academy’s offerings.
Continually iterate on offerings to increase their impact on onboarding, feature adoption, and automation rate and to incorporate feedback from customers, partners, and cross-functional teams.
What skills do I need?
8+ years of training experience with 3–5 years in a SaaS or tech environment; professional services and/or customer success experience required.
Strong grasp of adult learning principles and best practices that underpin effective and supportive live training experiences.
Proven content design skills with a track record of producing presentations and training that have clear information hierarchy, a relentless focus on driving customer action, and uses grounded examples to ensure concepts land.
Able to understand and clearly communicate complex, technical concepts and the nuances of AI products.
Strong executive presence with the ability to deliver compellingly to both large audiences and small groups. This includes an ability to present in high stakes situations with our largest customers and their senior management.
Skilled at maintaining engagement with all audiences and adapting in the moment whether that's managing a derailed discussion, a difficult question, or an unengaged group.
Superb program management skills, including stakeholder management, SME engagement, and end-to-end project management to lead large initiatives.
#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: London, England
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?
Fin's Customer Education team drives customer onboarding, adoption, and transformation at scale through on-demand and live educational experiences. Live programming has the opportunity to genuinely connect with customers in unique ways that cut through the noise to build relationships that drive adoption. As a result, we’re looking for someone who can make this program exceptional.
As our Senior Customer Education Manager, Live Programs, you'll own the live training program end-to-end: designing the curriculum, building and delivering the content, running our flagship Fin Academy Live event, and supporting strategic customers alongside our Deployment Services team. This is a high-visibility role where you'll regularly present to users, admins and C-suite audiences, and shape how Fin shows up in the room.
This role requires travel to support live events and customer engagements throughout the year.
What will I be doing?
Own the live education program end-to-end by setting the vision, roadmap, and success metrics for what we run, for whom, and to what outcome.
Design and deliver engaging, live experiences including webinars, cohorts, in-person workshops, and our annual Fin Academy Live event in order to drive customer outcomes and retention.
Partner with the Deployment Services team to define, create, and deliver tailored training to Enterprise customers, ensuring their teams are able to manage and scale Fin past the initial deployment.
Partner with the Customer Education team to plan and maintain a holistic training curriculum that supports our customers’ and company’s objectives to provide a cohesive, end-to-end learning experience across all of Fin Academy’s offerings.
Continually iterate on offerings to increase their impact on onboarding, feature adoption, and automation rate and to incorporate feedback from customers, partners, and cross-functional teams.
What skills do I need?
8+ years of training experience with 3–5 years in a SaaS or tech environment; professional services and/or customer success experience required.
Strong grasp of adult learning principles and best practices that underpin effective and supportive live training experiences.
Proven content design skills with a track record of producing presentations and training that have clear information hierarchy, a relentless focus on driving customer action, and uses grounded examples to ensure concepts land.
Able to understand and clearly communicate complex, technical concepts and the nuances of AI products.
Strong executive presence with the ability to deliver compellingly to both large audiences and small groups. This includes an ability to present in high stakes situations with our largest customers and their senior management.
Skilled at maintaining engagement with all audiences and adapting in the moment whether that's managing a derailed discussion, a difficult question, or an unengaged group.
Superb program management skills, including stakeholder management, SME engagement, and end-to-end project management to lead large initiatives.
#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, United States
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
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry.
As a Data Center Electrical Engineer – Design, you'll own the electrical architecture of our facilities from the utility service entrance through to the rack — substation interface, medium- and high-voltage distribution, on-site generation and storage integration, UPS, switchgear, busway, and rack power. You'll develop and maintain the basis of design, reference architectures, and technical specifications that our build partners and A/E firms design against, and you'll be the point of technical authority when their drawings and calculations come back for review. You'll run the engineering studies — short-circuit, protection coordination, arc flash, load flow, and power quality — and you'll keep the architecture ahead of rapidly increasing rack densities and the unique load characteristics of large-scale ML training.
A central part of this role is speed-to-capacity through prefabrication: you'll shape Anthropic's offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — and drive its standardization across sites. You'll work closely with colleagues across the infrastructure team, with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify and diversify regional equipment vendors. Expect roughly 10–25% travel for design reviews, partner and vendor meetings, factory witness testing, and site visits to support commissioning and startup.
Responsibilities
Electrical design & engineering
Lead the electrical design of critical data center infrastructure across the US portfolio, including the utility interface and substation, site medium- and high-voltage distribution, generators, UPS, switchgear, transformers, busway, and grounding
Develop and maintain Anthropic's electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet our reliability and maintainability requirements while staying within budgetary targets
Perform and validate engineering studies — including short-circuit, protection coordination, arc flash, load flow, and power quality analysis — and use the findings to steer topology, redundancy, equipment-selection, and protection-setting decisions
Design and plan data center hall power distribution layouts for newly allocated spaces in coordination with the telecom, mechanical and cooling design
Prefabrication & modular delivery
Drive Anthropic's prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams on a productization roadmap that accelerates deployment and reduces onsite labor
Design for offsite manufacture and onsite assembly: define the interfaces between prefabricated components and site-built work, and the electrical interfaces and switchover points for temporary-to-permanent power sequencing
Drive standardization of modular electrical designs across sites to compress deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations
Partner, vendor & utility coordination
Work with regional vendors and manufacturers to specify and qualify major electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk
Work with utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to define site utility service and interconnection requirements, and with local authorities having jurisdiction to ensure designs comply with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, UL/ANSI, and local requirements
Work with Anthropic's hardware and compute teams to translate accelerator power, density, and power-quality requirements into electrical design criteria, and keep the reference architecture aligned with upcoming hardware generations
Present findings and design positions to internal stakeholders, build partners, and operations teams through clear reports and presentations, and defend them under challenge
Design review & quality
Review and approve electrical design packages, calculations, submittals, and shop drawings from build partners and MEP consultants; track clarifications, deviations, and exceptions against the basis of design, and hold the line on capacity, reliability, maintainability, and safety requirements
Perform technical due diligence and design reviews on data center developer and partner projects — evaluating their electrical single-lines, equipment selections, studies, and specifications against Anthropic's reliability, maintainability, and capacity requirements
Define project electrical scope and serve as the design authority on RFIs and field changes that affect design intent during procurement and construction
Support factory acceptance testing, commissioning, and startup — reviewing test procedures and results against design intent, participating on site for key milestones, and closing as-built changes back into the reference design
Manage concurrent projects across multiple geographies
Continuously improve Anthropic's internal electrical design standards, tooling, and delivery practices, and act as a technical leader within the engineering group and across the internal and external teams that support our data centers
You may be a good fit if you
Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design — from concept through construction documents and into commissioning support
Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E, IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558) — and with utility interconnection processes
Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center floor plans and technical layouts with confidence
Have strong knowledge of power distribution and cooling infrastructure in high-availability data center environments
Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower
Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets
Have working knowledge of HV/MV substations, on-site generation, and energy storage integration, and how each shapes the overall electrical architecture
Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the interfaces between prefabricated components and onsite assembly
Have worked directly with electrical equipment manufacturers, A/E consultants, and contractors, and can evaluate products and designs on technical merit, not just datasheet claims
Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required
Communicate clearly with both technical peers and non-specialist stakeholders, and are comfortable defending a design position under scrutiny from partners and internal reviewers
Strong candidates may also have
Experience owning the electrical basis of design or reference architecture for a hyperscale or large colocation program, and driving its adoption across multiple sites or by external build partners
A track record building modular prefabricated products in the electrical or mechanical scope of a data center, and driving designs toward offsite manufacturing
Background in medium-/high-voltage distribution, on-site generation, or battery energy storage system (BESS) integration, and how those shape the building-side electrical design
Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution
Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients
Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon)
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:
$320,000
—
$405,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris
Workplace: Hybrid
WHY THIS ROLE EXISTS
At Pennylane, our website plays a pivotal role in acquiring and converting customers, transforming traffic from paid acquisition, SEO, partnerships, and other channels into sign-ups, demo bookings, and product adoption.
As we accelerate our Financial Services offering, including pro account, and the monetization of our existing customer base, we are seeking a Conversion Rate Optimization Manager to own conversion across these strategic areas.
You will lead the production and optimization of website pages and paid landing pages, from identifying friction to measuring business impact.
You will join the Website team within Growth and collaborate closely with Growth Engineers and Data in a multidisciplinary squad.
🌍 ABOUT PENNYLANE
Pennylane is one of France’s leading fintech unicorns, building the financial and accounting operating system for European SMEs and accounting firms.
Founded in 2020, we help business owners make better decisions and empower accountants to focus on advising their clients.
KEY FIGURES AND AMBITION
- 💻 Over 1.3 million SMEs already work with Pennylane
- 🤝 More than 7,000 accounting firms use our platform
- 👨👩👧👦 Over 1,100 Pennylaners from more than 25 nationalities
- 💰 More than €400 million raised since launch
- 🌍 Remote-friendly, international culture expanding across Europe
WHAT YOU’LL DO
You will own conversion across the Financial Services and Monetization scope, working across website pages, paid landing pages, product journeys, experimentation, and measurement.
OWN CRO AND EXPERIMENTATION
- Define and execute the conversion strategy for key journeys, including pro account landing pages, pricing and product pages, demo-booking journeys, self-sign-up, and upsell flows
- Build and run a continuous A/B testing program, from ideation and scoping to sizing, analysis, and ship-or-kill decisions
- Identify conversion friction and opportunities through analytics and behavioral insights
- Develop clear hypotheses based on user behavior, business priorities, and funnel performance
- Ensure experiments are measured against meaningful business outcomes
MANAGE THE WEBSITE CONVERSION ROADMAP
- Own and prioritize the conversion roadmap for your scope based on expected impact and feasibility
- Turn opportunities into actionable briefs, specifications, and delivery plans
- Work closely with Growth Engineers, Data, Design, and other stakeholders to ship improvements
- Coordinate QA, launch, and post-launch analysis
- Own key Financial Services journeys, including pro account activation and the accountant portal
- Contribute to monetization journeys such as upsell and self-sign-up
BUILD AND OPTIMIZE PAID LANDING PAGES
- Produce and optimize landing pages for Financial Services and Monetization campaigns
- Help increase the speed and volume of landing-page delivery, removing the current bottleneck
- Partner with Demand Generation and Paid/SEA teams to translate campaign objectives into high-performing pages
- Develop a strong understanding of target audiences, market context, and local messaging
- Use these insights to improve both paid landing pages and the wider website experience
OWN MEASUREMENT AND CROSS-FUNCTIONAL COORDINATION
- Define instrumentation and tracking plans with Data
- Build and maintain dashboards to monitor conversion performance
- Report on results, learnings, and next steps to both technical and non-technical stakeholders
- Work closely with Demand Gen, Product, Sales and Customer Success Operations, Brand, Design, and Engineering
- Create alignment across teams and move projects forward without relying on formal authority
WHAT YOU BRING
- 3–5 years of experience in CRO, Conversion, Website Product Management, Growth, or a related field
- Experience in B2B SaaS, fintech, digital products, or another data-driven environment
- A track record of shipping initiatives end-to-end and demonstrating their impact on business metrics
- Strong hands-on experience with analytics and CRO tools, such as Amplitude and Contentsquare
- Ability to independently analyse data, identify patterns, and formulate relevant hypotheses
- Solid understanding of A/B testing methodology, including experiment sizing, success metrics, statistical pitfalls, and decision-making
- Experience managing a roadmap and prioritizing initiatives based on impact and feasibility
- Strong project management skills, from writing a clear brief to coordinating delivery and measuring results
- Excellent communication skills, with the ability to:
- Write clear briefs for designers and engineers
- Explain prioritization decisions to stakeholders
- Present results and recommendations to non-technical audiences
- Ability to build relationships and secure alignment across multiple teams
- Fluent French and professional English
🛠️ TOOLS AND ENVIRONMENT
You will work with tools and processes dedicated to experimentation, analytics, behavioral analysis, tracking, and landing-page production.
SOME OUR TOOLS INCLUDE
- Amplitude
- AB Tasty
- Analytics and reporting dashboards
- Website content and landing-page production tools
You will collaborate closely with Growth Engineers, Data, Demand Generation, Product, Sales and Customer Success Operations, Brand, and Design.
WHAT YOU CAN EXPECT
- Ownership of conversion across two strategic areas for Pennylane: Financial Services and Monetization
- Direct and measurable impact on sign-ups, demo bookings, product activation, and upsell performance
- The opportunity to shape the conversion roadmap across website and paid landing pages
- A central role in structuring and scaling our experimentation program
- Close collaboration with Growth Engineering, Data, Product, Demand Gen, Sales, Customer Success Operations, Brand, and Design
- High level of autonomy and visibility across the organization
- Challenging and supportive environment focused on ownership, execution, learning, and measurable impact
SUCCESS IN THIS ROLE
Your success will be measured by:
- The frequency and quality of experiments launched
- The speed and volume of website and landing-page delivery
- Conversion-rate improvement across the Financial Services and Monetization funnels
- Growth in relevant outcomes, including sign-ups and demo bookings
- Ability to absorb inbound landing-page demand without creating a delivery bottleneck
- Quality of tracking, reporting, and learnings shared with stakeholders
📍 LOCATION & WORKING MODEL
Permanent position based in Paris on a hybrid basis or fully remote anywhere in France.
🌈 COMMITMENT TO DIVERSITY & INCLUSION
Pennylane is dedicated to fostering an inclusive and supportive workplace, providing equal opportunities for all candidates, regardless of background, gender, religion, sexual orientation, disability, or any other characteristic.
If you’re excited about this role and think you could make an impact, we encourage you to apply—even if you don’t meet every requirement.
⚠️ IMPORTANT INFORMATION FOR CANDIDATES
Apply only through Pennylane’s official channels. Our communications come from addresses ending in @pennylane.com or @pennylane-partners.com.
We will never ask for payments or financial information during the recruitment process.
🇫🇷 Données personnelles
Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com
Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇬🇧 Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇩🇪 Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇪🇸 Datos personales
Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
Location: Paris
Workplace: Hybrid
WHY THIS ROLE EXISTS
At Pennylane, our website plays a pivotal role in acquiring and converting customers, transforming traffic from paid acquisition, SEO, partnerships, and other channels into sign-ups, demo bookings, and product adoption.
As we accelerate our Financial Services offering, including pro account, and the monetization of our existing customer base, we are seeking a Growth Product Manager to own conversion across these strategic areas.
You will lead the production and optimization of website pages and paid landing pages, from identifying friction to measuring business impact.
You will join the Website team within Growth and collaborate closely with Growth Engineers and Data in a multidisciplinary squad.
🌍 ABOUT PENNYLANE
Pennylane is one of France’s leading fintech unicorns, building the financial and accounting operating system for European SMEs and accounting firms.
Founded in 2020, we help business owners make better decisions and empower accountants to focus on advising their clients.
KEY FIGURES AND AMBITION
- 💻 Over 1.3 million SMEs already work with Pennylane
- 🤝 More than 7,000 accounting firms use our platform
- 👨👩👧👦 Over 1,100 Pennylaners from more than 25 nationalities
- 💰 More than €400 million raised since launch
- 🌍 Remote-friendly, international culture expanding across Europe
WHAT YOU’LL DO
You will own conversion across the Financial Services and Monetization scope, working across website pages, paid landing pages, product journeys, experimentation, and measurement.
OWN CRO AND EXPERIMENTATION
- Define and execute the conversion strategy for key journeys, including pro account landing pages, pricing and product pages, demo-booking journeys, self-sign-up, and upsell flows
- Build and run a continuous A/B testing program, from ideation and scoping to sizing, analysis, and ship-or-kill decisions
- Identify conversion friction and opportunities through analytics and behavioral insights
- Develop clear hypotheses based on user behavior, business priorities, and funnel performance
- Ensure experiments are measured against meaningful business outcomes
MANAGE THE WEBSITE CONVERSION ROADMAP
- Own and prioritize the conversion roadmap for your scope based on expected impact and feasibility
- Turn opportunities into actionable briefs, specifications, and delivery plans
- Work closely with Growth Engineers, Data, Design, and other stakeholders to ship improvements
- Coordinate QA, launch, and post-launch analysis
- Own key Financial Services journeys, including pro account activation and the accountant portal
- Contribute to monetization journeys such as upsell and self-sign-up
BUILD AND OPTIMIZE PAID LANDING PAGES
- Produce and optimize landing pages for Financial Services and Monetization campaigns
- Help increase the speed and volume of landing-page delivery, removing the current bottleneck
- Partner with Demand Generation and Paid/SEA teams to translate campaign objectives into high-performing pages
- Develop a strong understanding of target audiences, market context, and local messaging
- Use these insights to improve both paid landing pages and the wider website experience
OWN MEASUREMENT AND CROSS-FUNCTIONAL COORDINATION
- Define instrumentation and tracking plans with Data
- Build and maintain dashboards to monitor conversion performance
- Report on results, learnings, and next steps to both technical and non-technical stakeholders
- Work closely with Demand Gen, Product, Sales and Customer Success Operations, Brand, Design, and Engineering
- Create alignment across teams and move projects forward without relying on formal authority
WHAT YOU BRING
- 3–5 years of experience in CRO, Conversion, Website Product Management, Growth, or a related field
- Experience in B2B SaaS, fintech, digital products, or another data-driven environment
- A track record of shipping initiatives end-to-end and demonstrating their impact on business metrics
- Strong hands-on experience with analytics and CRO tools, such as Amplitude and Contentsquare
- Ability to independently analyse data, identify patterns, and formulate relevant hypotheses
- Solid understanding of A/B testing methodology, including experiment sizing, success metrics, statistical pitfalls, and decision-making
- Experience managing a roadmap and prioritizing initiatives based on impact and feasibility
- Strong project management skills, from writing a clear brief to coordinating delivery and measuring results
- Excellent communication skills, with the ability to:
- Write clear briefs for designers and engineers
- Explain prioritization decisions to stakeholders
- Present results and recommendations to non-technical audiences
- Ability to build relationships and secure alignment across multiple teams
- Fluent French and professional English
🛠️ TOOLS AND ENVIRONMENT
You will work with tools and processes dedicated to experimentation, analytics, behavioral analysis, tracking, and landing-page production.
SOME OUR TOOLS INCLUDE
- Amplitude
- AB Tasty
- Analytics and reporting dashboards
- Website content and landing-page production tools
You will collaborate closely with Growth Engineers, Data, Demand Generation, Product, Sales and Customer Success Operations, Brand, and Design.
WHAT YOU CAN EXPECT
- Ownership of conversion across two strategic areas for Pennylane: Financial Services and Monetization
- Direct and measurable impact on sign-ups, demo bookings, product activation, and upsell performance
- The opportunity to shape the conversion roadmap across website and paid landing pages
- A central role in structuring and scaling our experimentation program
- Close collaboration with Growth Engineering, Data, Product, Demand Gen, Sales, Customer Success Operations, Brand, and Design
- High level of autonomy and visibility across the organization
- Challenging and supportive environment focused on ownership, execution, learning, and measurable impact
SUCCESS IN THIS ROLE
Your success will be measured by:
- The frequency and quality of experiments launched
- The speed and volume of website and landing-page delivery
- Conversion-rate improvement across the Financial Services and Monetization funnels
- Growth in relevant outcomes, including sign-ups and demo bookings
- Ability to absorb inbound landing-page demand without creating a delivery bottleneck
- Quality of tracking, reporting, and learnings shared with stakeholders
📍 LOCATION & WORKING MODEL
Permanent position based in Paris on a hybrid basis or fully remote anywhere in France.
🌈 COMMITMENT TO DIVERSITY & INCLUSION
Pennylane is dedicated to fostering an inclusive and supportive workplace, providing equal opportunities for all candidates, regardless of background, gender, religion, sexual orientation, disability, or any other characteristic.
If you’re excited about this role and think you could make an impact, we encourage you to apply—even if you don’t meet every requirement.
⚠️ IMPORTANT INFORMATION FOR CANDIDATES
Apply only through Pennylane’s official channels. Our communications come from addresses ending in @pennylane.com or @pennylane-partners.com.
We will never ask for payments or financial information during the recruitment process.
🇫🇷 Données personnelles
Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com
Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇬🇧 Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇩🇪 Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇪🇸 Datos personales
Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Lithuania
Workplace: hybrid
About the Client
Our client is a payment services provider offering online payment solutions to businesses internationally. Its work includes merchant onboarding and ongoing customer due diligence.
Role Overview
Take ownership of complex KYC/KYB reviews and help shape risk-based decisions on merchant relationships. You will investigate higher-risk cases, assess the evidence behind corporate structures, and work closely with the MLRO to reach clear, documented conclusions.
Key Responsibilities
Review KYC/KYB files prepared by the onboarding team for completeness, accuracy, and supporting evidence.
Conduct Enhanced Due Diligence on high-risk merchants, analyse ownership structures across jurisdictions, and identify Ultimate Beneficial Owners.
Assess Source of Funds and Source of Wealth documentation.
Perform in-depth sanctions, PEP, and adverse media screening.
Evaluate corporate client risk, including processing volumes, chargeback exposure, and high-risk business models.
Prepare structured conclusions and recommendations for the MLRO, escalating cases when needed.
Work with onboarding colleagues to resolve gaps in client files and improve due diligence quality.
Recommend restrictions or termination of client relationships when risks cannot be adequately mitigated.
Requirements
At least 2-3 years of hands-on AML, KYC/KYB, and EDD experience in payments or banking.
Experience with merchant acquiring and high-risk merchants is a strong advantage.
Practical experience reviewing corporate clients and independently analysing complex or higher-risk cases.
Strong understanding of AML/CTF requirements, EU sanctions regimes, and UBO identification.
Fluent English.
Based in Lithuania and available to work hybrid from the Vilnius office.
Key Soft Skills
Ability to assess evidence critically, identify red flags, and reach well-reasoned, documented conclusions.
Ability to produce clear compliance reports.
A proactive approach, sound judgement, and ownership of your work.
What We Offer
A senior specialist role with ownership of complex due diligence cases.
Close collaboration with the MLRO and an international team.
Opportunities for professional development in AML and compliance.
Hybrid working in Vilnius.
Compensation based on experience and expertise.
Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
We're looking for an Automation Specialist to join our Movie and TV Metadata team — a unique, blended role for someone who wants to combine hands-on content work with the chance to build real AI and automation solutions. Design, develop, and deploy automation and AI-assisted tools using approved platforms, under the guidance of your Project Manager.
Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
Workplace: remote
Provectus is an
AWS Premier Partner
and an
Anthropic Strategic Partner
, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals —
Financial Services & Insurance
and
Healthcare & Life Sciences
— where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: New York, NY, United States
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box Consulting is a fast growing team helping customers rapidly deploy, maximize value, and deeply integrate Box into their enterprises. Your proven ability to work creatively and analytically on complex, multi phase engagements with the most strategic of customers will help you build, manage, and scale your team in a highly engaged environment. Excellent communication, leadership, and management skills enable you to grow the team's professional development while staying highly engaged with customers - an opportunity for your team to learn the depth of your delivery expertise on the job.
Box is growing fast. Real fast. Every business in the world is looking to modernize the way they work. As the leader in intelligent content management, Box is the only company that can help enterprises transform how people work together. Your years of experience with project management and business process design, combined with expert knowledge of internal processes and related systems, empower you to be an influential leader within Box Consulting and more broadly across all of Box.
WHAT YOU’LL DO
Lead a portfolio of client facing projects with
public sector customers
from initiation through closeout, using predictive, Agile, or hybrid approaches as appropriate to the engagement. You will work cross-functionally alongside a team of other individual contributors part of the Box Consulting organization (including: technical consultants, solutions architects, education and change management resources)
Establish project objectives, scope, deliverables, success measures, and acceptance criteria in alignment with the Statement of Work (SOW) ensuring a successful delivery
Manage project resource and budget allocation to ensure on time delivery of project deliverables, artifacts and scope
associated with the implementation
Provide status reports with utilization, financial, and project progress analysis on projects and activities
Maintain active risk, issue, dependency, decision, and action management, escalating to Project Sponsor as required
Identify changes to scope, requirements, assumptions, or timelines, and promptly communicate project impact and produce any necessary artifacts such as Change Orders
. Engage Box account team and Solution Consultant based on identified backlog
Aligns client strategic objectives with Box’s roadmap to drive expansion. Presents value pursued and realized to executive stakeholders
Maintain project backlogs and make recommendations for prioritizing ongoing work and strategic initiatives
Own and manage project operations in designated Project & Services Automation (PSA) tool, ensuring project plans, status, resourcing, financials, milestones, deliverables, and supporting documentation are accurate, current, and complete. Reconciliation of project records to be completed on monthly and quarterly basis to ensure projects are in proper standing
Provide clear, timely project and portfolio reporting to customer stakeholders, Box Consulting leaders, and executive audiences
Demonstrate competency in approved AI tools and automation, applying them thoughtfully to implementation
Contribute to project management methodology, internal initiatives, and practice development by using AI to streamline productivity, accelerate analysis and reporting, and increase the consistency of project artifacts
Manage project requirements and client expectations, navigate difficult conversations, and lead cross-functional teams
Be the “true owner” of the project to BC executives and the wider BC org through multiple channels (All Hands, management meetings, email, Slack, etc).
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
4+ years of experience in consulting, project management, or the B2B SaaS industry
Experience working with Public Sector customers, including federal or state and local government organizations preferred
A customer-focused project leader who can work effectively with diverse stakeholders and adapt to different project environments
A project leader who is able to “own the customer outcome” and can motivate a team of cross-functional consultants to truly Blow our Customer’s Minds
Clearly communicates key project updates to internal and external stakeholders including Executive Leadership
Ability to juggle multiple projects (~10) at time with a knack for staying organized and maintaining reliable project records and follow-through
An efficiency driver who isn’t afraid to utilize AI to identify and apply approved AI tools and automation to reduce administrative effort, accelerate analysis and reporting, and improve the quality and consistency of project deliverables
Able to assess project health, manage financial standing, and maintain scope and timeline alignment with contractual commitments such as an SOW or Change Order
Comfortable leading projects using predictive, Agile, or hybrid methods, based on the project context
Interested in applying approved AI tools and automation thoughtfully to reduce administrative effort and improve the quality and timeliness of project work
Experienced power user of project management tools (e.g. Kantata, SmartSheet, MS Project, etc ), and related tools for communication and productivity (Slack, Google Calendar, etc)
Preferred qualifications - Project Management Professional (PMP) certification, Certified Scrum Master (CSM), PRINCE2, PMI-CPMAI, Professional Scrum Master (PSM), or comparable project management or Agile certification
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
#LI-HYBRID
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
New York City Pay Range
$125,500
—
$140,000 USD
Location: Dallas
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
This role sits within our Peoplefun studio.
PeopleFun is an award-winning creator of mobile games for players across the globe. We are a Dallas-based game studio founded and maintained by game industry veterans, where game developers thrive on collaboration, creativity, teamwork and fun. Our games are played by over 25 million players each month, and we have a number of exciting mid-core and casual games in development. Our mission is twofold: excellence in creativity and data-driven product innovation, and to be a best-in-class workplace providing unique opportunities to learn and exercise curiosity.
Role Overview
PeopleFun Games is looking for a Lead Data Analyst to own analytics for our New Games division, which rapidly prototypes and market-tests multiple game concepts. This is an individual contributor role with influence across multiple titles and the authority to set analytical standards and priorities for the team.
You’ll partner with Product, Engineering, and Marketing leadership to turn complex data into clear recommendations that shape product direction in an AI-forward environment. We launch and sunset multiple games every few weeks. You’ll thrive here if you’re energized by speed, comfortable making decisions with incomplete data, and able to build analytical foundations that hold up as the portfolio constantly changes.
Key Responsibilities
Support rapid decision-making: Define and uphold best practices for interpreting data so teams can reach confident conclusions quickly to iterate on each game.
Design experiments: Partner with Product and Marketing to design A/B tests with clear hypotheses, metrics, and guardrails.
Own dashboards and reporting: Build and maintain scalable Looker dashboards that give Product and Marketing actionable insight into core game KPIs such as retention, monetization, gameplay engagement, and user acquisition performance.
Govern AI-assisted analysis: Define and uphold quality standards for analyses and visualizations that non-analytical teammates produce with AI tools. Review outputs for correctness and sound interpretation, without becoming a bottleneck.
Engineer data context and skills for AI: Improve the semantic layer and question-to-source routing that our AI tools rely on, and measure their accuracy so trust in AI-generated insights stays high. Build and test reusable AI skills that help teammates speed up data work.
Safeguard data quality: Work with engineering to validate tracking and data pipelines, and investigate and resolve discrepancies that affect reporting.
Balance consistency with new-game needs: Keep New Games analytics aligned with established metrics and definitions from our mature titles wherever possible, and make deliberate, documented choices where new concepts need something different.
Skills Required:
6+ years analytics experience, including time in product or games analytics
Expert-level SQL and Looker skills
Deep experience designing and analyzing experiments (A/B, sequential, multivariate)
Experience with semantic layers and writing context or reusable skills for AI tools, and a practical understanding of where AI analytics tools succeed and fail
Comfort turning ambiguous business problems into structured analytical frameworks
Experience partnering with Data Engineering to shape scalable data infrastructure and validate data quality
Track record of influencing product and marketing decisions with senior stakeholders
Ability to work from our Dallas office in a hybrid arrangement. Reasonable relocation support is available for qualified candidates in the United States that are open to relocating to Dallas.
Preferred Skills:
Background in mobile or free-to-play games, with a genuine passion for games and player experience
Familiarity with mobile advertising and user acquisition data
BigQuery
Python or other scripting languages
Working at Tripledot
Time Off: Flexible Discretionary Time Off policy in addition to bank holidays to relax and refresh throughout the year.
Financial: Generous 401k match, discretionary bonuses, and competitive salaries.
Health & Wellness: Comprehensive Medical, Dental, and Vision coverage.
Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
Continuous Professional Development: Propel your career with continuous opportunities for professional development.
Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture.
Regular company events: Yearly on-site events that celebrate our achievements and our team spirit.
The anticipated base salary range for this role is USD $135,000–$175,000. Compensation decisions are made based on the unique qualifications, experience and circumstances of each candidate. Actual compensation is determined based on a variety of factors, including, but not limited to an individual's skills, experience, education, training, licenses and certifications (where applicable), as well as business and organizational needs. The final compensation package will be based on the specific position offered in addition to a full range of medical and other benefits.
Tripledot Studios is proud to be an equal-opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics.
As part of our interview process, we may use AI-enabled tools to assist with note-taking and summarizing conversations. These tools are used only to support our recruiters and interviewers. They are not used to screen applications or make hiring decisions. All candidate evaluations and hiring decisions are made by people.
This opening is for an existing vacancy.
All legitimate Tripledot roles are only posted on our official careers page and LinkedIn and we do not conduct job interviews via messaging apps like WhatsApp, Telegram or others. We never ask for personal or financial information during interviews. Sensitive information is only ever requested after a formal written offer through official channels. Any attempt to do so may be the result of a scam or phishing attack, and you should not engage. Our in-house recruitment team will only contact individuals through their official Company email addresses (tripledotstudios.com)
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Run the operating cadence for Product & Engineering incident response teams: own planning cycles, workflows, initiative tracking, and sprint planning
- Design and optimize key processes like retrospectives, team syncs, and engineering demos to drive clarity and velocity
- Build and maintain operational artifacts such as roadmaps, planning docs, capacity trackers, dashboards, and retros that keep everyone informed and aligned
- Coordinate cross-functional initiatives that span Product, Eng, Legal, Security, and Ops teams—driving alignment, timelines, and accountability
- Partner with Eng and Agent Development leadership to create scalable frameworks for goal-setting, prioritization, and execution
- Analyze operational data and team feedback to identify friction points and implement systems that improve execution and outcomes
WHAT YOU’LL BRING
- 6-8+ years of experience in Product Operations, Business Operations, or Technical Program Management in a high-growth, product-led company
- Proven track record building and scaling operational processes from scratch
- Highly organized and methodical; you bring rigor, structure, and momentum to ambiguous situations
- Excellent written and verbal communicator—clear, succinct, and persuasive across stakeholders and levels
- Comfortable using tools like Linear, Figma, Google Drive, or similar to create systems that stick
- Strong analytical instincts with proficiency in Excel/Sheets; SQL or dashboard experience is a plus
EVEN BETTER…
- Experience at an early-stage startup or scaling an engineering org
- Familiarity with incident response and site reliability process, vendors, and oncall management
- Background in product management, engineering, or consulting/strategy with deep operational exposure
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
УдалённоIndia (remote); We welcome applicants from all backgrounds to join us in shaping the future of AI
УдалённоseniorUnited Kingdom; Ireland; Romania; Cyprus; Malta; Canada; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
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.
УдалённоNorth Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
New York, NY, United States; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance
leadReasonable relocation support is available for qualified candidates in the United States that are open to relocating to Dallas
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