Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD 🚀
As a Senior Product Designer, Content Design & Language Systems, you’ll lead ambiguous product problems where workflow, interaction, information architecture, and language need to work together. You’ll help make Docebo’s complex enterprise experiences clearer, more consistent, and easier to use for admins, creators, managers, and learners.
This is not a traditional UX writing role or a localization-operations role. You’ll be a hands-on Product Designer who shapes product behaviour as well as product language. You’ll design complete workflows, build reusable terminology and content patterns, improve AI review and confidence experiences, and embed language guidance into our design system and delivery practices.
You’ll shape problems before solutions are fixed, choose appropriate discovery and validation methods, and connect customer evidence, product data, business context, technical constraints, accessibility, and localization risk to clear product decisions. You’ll partner closely with Product Management, Engineering, UX Research, Elemental / Design System, Accessibility, Technical Writing / Localization, AI teams, and other Product Designers—building a shared quality capability without becoming a bottleneck or approval queue.
THE DAY-TO-DAY 💻
- Frame Ambiguous Workflow and Language Problems: Turn incomplete or conflicting inputs into clear problem statements, hypotheses, decision questions, and an actionable path to learning.
- Lead Discovery and Define Outcomes: Select appropriate research and validation methods; combine customer evidence, product analytics, business context, technical constraints, and localization insight to establish measurable success signals and visible trade-offs.
- Design Complete Product Workflows: Lead interaction, information-architecture, and content decisions across roles, permissions, states, edge cases, accessibility, responsive behaviour, errors, confirmations, approvals, and recovery.
- Build Docebo’s Product Language System: Establish terminology, product voice and tone, reusable microcopy patterns, audience guidance, and language principles that improve clarity across product areas.
- Design Trustworthy AI Moments: Create patterns that help people understand what AI did, what informed it, what needs attention, and how to review, edit, regenerate, approve, reverse, or recover.
- Embed Guidance into Product Systems: Partner with Elemental / Design System to create component-level guidance, default strings, usage examples, do-and-don’t guidance, and reusable quality checks.
- Design for Localization Readiness: Own product-side standards for translation-ready writing, terminology reuse, variables and placeholders, language previews, and localization constraints while partnering with Technical Writing / Localization on operational workflows.
- Prototype and Audit with AI-Assisted Methods: Use appropriate-fidelity prototypes and AI-assisted workflows to explore product behaviour, evaluate alternatives, audit language, and assess usability and technical feasibility before significant implementation investment.
- Partner Through Shipped Quality: Work closely with Engineering on implementation strategy, design QA, product polish, and post-release iteration using customer feedback and product evidence.
- Create Reusable Leverage: Turn repeated workflow and language needs into patterns, assets, documentation, terminology, prompts, or practices that improve more than one feature.
- Mentor and Facilitate: Help designers and cross-functional partners build stronger product-language judgment through critique, decision reviews, workshops, concise documentation, and practical guidance.
YOUR SUPERPOWERS 🦸♀️
- Your portfolio shows ownership of complex, ambiguous workflows or significant product-area work with visible customer and product impact—not only writing samples
- You can explain how you triangulated qualitative research, quantitative evidence, business risk, localization considerations, and technical constraints
- You demonstrate strong interaction, visual, information-architecture, content-design, accessibility, and product-language judgment across difficult states and edge cases
- You have created or contributed to product-language systems, terminology frameworks, component guidance, content pattern libraries, or other reusable product standards
- You show how prototypes, experiments, audits, or validation changed product direction before or after release
- You can define meaningful outcomes, distinguish signal from activity, and explain what the team learned after launch
- You have influenced Product and Engineering decisions early, managed disagreement constructively, and stayed accountable through implementation quality
- You understand how product language must work across design systems and languages, including translation readiness, terminology reuse, variables, layout constraints, and inclusive communication
- You use AI-assisted tools thoughtfully for research, synthesis, language exploration, prototyping, quality review, or implementation critique while retaining human judgment and accountability
- You have helped other designers or cross-functional partners build stronger judgment through mentorship, critique, facilitation, and practical guidance
BONUS POINTS 🌟
- Experience designing language and interaction patterns for AI-assisted, agentic, recommendation, conversational, generated-output, or automation workflows
- Experience with localization tooling and practices such as Lokalise, terminology management, localization previews, translation-quality review, or localization-to-codebase workflows
- Contributions to design systems, accessibility maturity, product-language systems, research practices, or reusable interaction patterns
- Experience with enterprise learning, HR technology, content authoring, analytics, knowledge management, administration, or skills platforms
- Practical experiments with tools such as Codex or similar systems—for AI-assisted audits, product-language linting, prompt packs, prototypes, plugins, scripts, or app-level language guidance—that show you learn by making
OUR INTERVIEW PROCESS 🗺️
- Step 1: A 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and confirm that we’re aligned.
- Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what interests you about the opportunity.
- Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex workflow ownership, content and interaction decisions, reusable systems, evidence, craft, and measurable learning or impact.
- Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: San Francisco, CA
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
Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge.
You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results.
This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners.
The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it.
Key responsibilities
Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development
Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship
Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on
Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk
Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates
Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable
Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements
Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve
Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content
Represent the team's work in external communications including model cards, blog posts, and policy documents
Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations
Minimum qualifications
Experience managing a technical team, including hiring, coaching, and performance management
A record of setting technical direction for a team and making prioritization calls under uncertainty
Proficiency in Python, with a background in scientific programming and data analysis
A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development
Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering
Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results
Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders
Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines
Comfort with ambiguity and with shifting priorities as AI capabilities change
Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field
Preferred qualifications
3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers
Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works
At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology
Experience working with large language models, including prompting, fine-tuning, or evaluation
Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low
Experience developing ML methods for biological systems or biological data
Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems
Experience leading complex technical projects across multiple stakeholder groups
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:
$405,000
—
$485,000 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: San Francisco, CA; New York, NY; Atlanta, GA; Washington, D.C.
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.
ABOUT THE PUBLIC SECTOR TEAM
- Sierra recently received FedRAMP High https://sierra.ai/blog/certified-fedramp-high certification, enabling us to bring our industry-leading technology to partners in the US public sector. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry.
- Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies.
- We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions.
- In our journey, 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 Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.
WHAT YOU'LL DO
- Build Sierra’s public sector business: Own a portfolio of strategic Federal, state or local government accounts, develop territory and account plans, build qualified pipeline, and consistently achieve or exceed revenue targets.
- Create opportunities around mission outcomes: Develop trusted relationships with agency leaders, program executives, technology teams, procurement officials, and other stakeholders. Translate priorities such as constituent access, service delivery, workforce effectiveness, and program integrity into compelling AI agent opportunities.
- Lead complex sales cycles from discovery through award: Orchestrate executive alignment, solution development, business cases, security and legal reviews, pricing, proposal strategy, negotiation, and close across long, multi-stakeholder government buying processes.
- Design the path to contract: Understand how each customer can buy and shape a practical acquisition strategy early. Navigate direct awards, competitive solicitations, pilots, task orders, and contract vehicles—including GSA schedules, GWACs, IDIQs, BPAs, state schedules, and cooperative purchasing agreements—as relevant to the opportunity.
- Build and execute capture plans: Qualify opportunities with discipline; map decision-makers, influencers, incumbents, competitors, funding sources, fiscal-year timing, acquisition milestones, and win themes; and lead the internal cadence required to move from early demand to award.
- Develop Sierra’s partner ecosystem: Build productive relationships with prime contractors, systems integrators, resellers, distributors, small-business partners, and other technology providers. Know when Sierra should sell directly, participate as a subcontractor, establish a teaming arrangement, or pursue a partner-led transaction—and align incentives and responsibilities accordingly.
- Shape prime and teaming relationships: Identify where Sierra can strengthen a prime contractor’s solution and where partners can provide customer access, past performance, implementation capacity, or a procurement pathway. Negotiate clear account alignment, deal registration, workshare, and go-to-market plans that create durable value for the customer and Sierra.
- Run high-quality bids and proposals: Partner with public sector leadership, legal, security, product, engineering, and delivery teams on RFIs, RFPs, sources sought, oral presentations, and other procurement responses. Make thoughtful bid/no-bid recommendations and ensure every submission is compliant, differentiated, and precise.
- Operate as part of the customer’s team: Earn trust across senior agency leadership and working teams by understanding the mission, communicating candidly, and remaining accountable from the first meeting through deployment and expansion.
- Help build the public sector go-to-market motion: As an early member of the team, improve our account segmentation, capture process, partner strategy, contract-vehicle roadmap, forecasting, and repeatable sales playbooks. Bring market signals back to product and company leadership to help shape Sierra’s platform and public sector strategy.
- Operate as an AI-native seller: Use AI throughout the sales cycle—from account research and personalized outreach to call synthesis, opportunity planning, proposal development, and forecasting—so you can spend more time on judgment, strategy, and customer relationships.
WHAT YOU'LL BRING
- Meaningful enterprise technology sales or business development experience, including significant experience selling software, cloud, data, or AI solutions to U.S. government customers.
- A demonstrated record of building pipeline, exceeding quota, and closing complex six- and seven-figure opportunities with long sales cycles and multiple technical, mission, executive, and procurement stakeholders.
- Strong fluency in government acquisition and procurement, including funding and budget cycles, competitive solicitations, proposal processes, task orders, and common Federal or state contract vehicles.
- Experience developing and executing capture strategies before a solicitation is released—not simply responding once an RFP is public.
- A strong network and demonstrated ability to work with government technology partners, including prime contractors, systems integrators, resellers, distributors, and small-business teaming partners.
- Sound judgment about direct, channel, prime/subcontractor, and teaming models, with the ability to select and execute the right path for a particular agency and opportunity.
- The ability to build credibility with agency executives, program leaders, contracting and procurement officials, security teams, and technical stakeholders—and to align those groups around a shared path forward.
- Excellent executive communication, negotiation, account planning, and forecasting skills. You are rigorous about details, procurement milestones, and next steps.
- A passion for public sector work and a belief in the potential of government institutions to improve outcomes for the people they serve.
- Comfort operating with high ownership in an early-stage business: you create structure where it does not yet exist, move with urgency, and collaborate deeply across functions.
EVEN BETTER...
- Experience helping launch or scale a public sector business for a high-growth software company.
- Established relationships across Federal civilian agencies, state governments, or the government contractor and systems integrator ecosystem.
- Familiarity with the FAR and related acquisition frameworks, government cloud and security requirements, and the commercial implications of FedRAMP High.
- Experience shaping and closing outcome-based, usage-based, or other nontraditional software agreements in the public sector.
- Experience with AI, conversational systems, customer experience technology, contact centers, or digital government services—and the ability to speak credibly with both mission and technical leaders.
- Experience operating alongside founders or senior executives in high-stakes customer and partner engagements.
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.
Location: Spain
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
We're hiring Senior Product Designers for Credit & Cards (credit application, card issuance, and repayment experiences used by real businesses managing real money). You'll own design from discovery through delivery, turning complex financial workflows into experiences that are simple, trustworthy, and easy to act on — working closely with Product, Engineering, Analytics, and Research.
What You’ll Do
Own end-to-end design for your domain — from problem framing and research to shipped, polished UI.
Use research, product data, and customer feedback to guide and defend design decisions.
Collaborate with Product Managers, Engineers, and Analysts to scope work and define outcomes.
Contribute to the design system, improving consistency, accessibility, and craft across the interface.
Design credit application, card issuance, and repayment experiences that build trust in complex financial decisions.
Translate compliance and risk requirements (credit checks, KYC, repayment terms) into clear, honest, usable flows.
Balance conversion goals with responsible communication of risk and cost to the customer.
Who You Are
4+ years of experience
in product design, with ownership of complex, multi-step user flows.
A strong portfolio showing user-centered thinking and polished interaction/visual craft.
Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states)
Experience designing platforms with multiple states, permissions, edge cases, and dependencies.
Comfortable using research, data, and business context to defend design decisions in cross-functional squads.
Fluent professional English
Nice to Have
Fintech, SaaS, or other regulated/complex-industry experience (not required — a plus).
Prior experience with lending, payments, or KYC/compliance flows.
Regular use of AI tools (e.g. prototyping, research synthesis) in your workflow.
Hiring Process
Step 1: Async Portfolio Review
— We review your portfolio link and one written response to assess craft and design quality before scheduling any calls.
Step 2: Hiring Manager Call
— A video chat with VP of Design focusing on your ownership, drive, and collaborative style.
Step 3: Take-Home Assignment
— A practical Finom product case study (3–5 days turnaround) evaluated for strategic thinking, user insights, and design execution.
Step 4: Live Presentation & Cross-Functional Interview
— A full walkthrough and Q&A with design and product leads.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: New York, NY
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
Read
our blog
to learn more.
About the role...
We are building a world-class marketing organization at Duolingo with the goal to make a significant impact on the company's rapid global growth. For this growing team, we're looking for a curious marketing analytics manager to help us build the foundations of measuring and understanding the impact of our media spend. You will play a key role in enabling data-driven marketing campaigns for Duolingo.
🧠 You will...
Create data-driven insights about the impact of our global performance marketing campaigns
Develop new approaches to grow our user base through data-driven marketing optimization
Partner with our data science team to better understand our new user cohorts and user behaviors
Act as a thought partner in defining marketing key performance indicators and tracking progress against target metrics
Mold data from multiple sources to answer key strategic marketing questions
Partner with marketing tech to influence and prototype backend data design, build intuitive and readable dashboards using visualization tools (e.g., Tableau), and extract actionable insights
Bridge analytics and marketing, speaking both languages
✅ You have...
Minimum of a Bachelor's degree in Statistics, Mathematics, Economics, or another related STEM degree field
Experience as a marketing analyst working with data from digital campaigns, including using data to inform strategic campaign decisions
Strong ability to condense complex concepts and analysis into clear and concise takeaways that drive action
Strong expertise using SQL to extract, clean, and transform data in large, complex, nested, databases
Proficiency with data visualization tools such as Tableau or Data Studio for data analysis, insight synthesis and presentation
Demonstrated strong intellectual curiosity
Able to work in our New York office
⭐ Exceptional candidates will have...
Hands-on experience running and optimizing digital app install campaigns
Expertise working with R, Python, or other statistical software
An impressive Duolingo XP or streak!
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$154,700
—
$209,300 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: Texas_Remote_Central
The Opportunity
We're looking for a Product Manager who is passionate about understanding customer problems, validating opportunities, and leading cross-functional teams to deliver measurable business outcomes. You'll own a product area
focused on backoffice (cloud data processing) solutions, driving product strategy and execution, charting the roadmap, and managing the lifecycle of Verra Mobility’s market leading systems. As a member of the Product Management team, you will partner with leaders across the product, operations, engineering, IT, and sales teams to drive innovation and leverage the latest technologies to deliver best-in-class backoffice systems that achieve business objectives. The successful candidate will be passionate about technology with an ability to lead innovation and execution. In this business-critical role, you will merge customer needs with technology to cast a vision for Verra Mobility’s legacy and future backoffice solutions and drive the organization toward that goal. You will collaborate with key internal stakeholders to manage the backoffice systems across their lifecycle, gathering requirements, scoping initiatives, establishing product roadmaps, and working with development and support teams to ensure high product quality while minimizing cost.
You’ll join a product squad with a defined problem space, embedded alongside a technical lead and engineering team. But this isn’t a backlog-grooming role, as you’ll own discovery
: getting in front of customers, validating the problems, stress-testing potential solutions, and driving a roadmap that delivers measurable outcomes. You’ll report directly to the Director of Product and operate as a key product leader as we build toward a modern Product Operating Model.
What
You’ll
Do
Own the problem, drive discovery
Lead continuous customer discovery, including interviews, ride-alongs, and data analysis, to validate problems and pressure-test solutions before committing to build.
Frame customer and business problems with clarity and evidence, ensuring the team works on what truly matters.
Define and maintain a prioritized roadmap grounded in measurable outcomes, rather than a feature wish list.
Balance user needs, business objectives, and technical feasibility, using sound judgment and solid product sense.
Partner early with Legal, Compliance, and Operations functions to shape viable solutions.
Own the problem end-to-end, make tough prioritization calls, document your reasoning and outcomes.
Guide delivery and build trust with your squad
Partner closely with your technical lead and engineering team, creating context, removing ambiguity, and enabling the squad to move with speed and confidence.
Collaborate closely with your design lead to ensure solutions are not just technically sound but also user centered.
Write crisp, outcome-oriented briefs and acceptance criteria; avoid over-specifying implementation details, and focus on why the problem matters and what success looks like
Leverage AI tools to accelerate discovery synthesis, documentation, and delivery workflows.
Share your approach to discovery and product thinking with peers, contributing to a growing product practice.
Connect product to impact
Develop a working understanding of how products drive revenue, retention, and operational efficiency for our customers.
Contribute to go-to-market strategy by informing pricing, positioning, and launch readiness in close collaboration with commercial teams.
Define and track success metrics that link customer outcomes to business performance.
Serve as the internal expert for your product area trusted by sales, operations, and leadership.
What
We’re
Looking For
Required
3–7 years of product management experience, with a track record of owning outcomes.
Experience leading customer discovery and translating qualitative and quantitative insights into product decisions.
Ability to operate effectively in a cross-functional squad environment alongside engineering and design peers.
Experience in regulated or complex-domain industries, such as automotive, fleet, payments, fintech, or similar, with a demonstrated record of learning new domains.
Comfort working in and contributing to organizations evolving their product operating model.
Active use of AI tools to enhance productivity in day-to-day product work, such as discovery workflows, streamlining documentation, automating research, creating prototypes, and accelerating delivery.
Excellent written and verbal communication: you write clearly, tailor your message to different audiences, and tell a coherent product story.
Strong critical thinking and a bias toward evidence over opinion.
Great to Have
Knowledge of the transportation/smart mobility sector and road safety is a plus
Familiarity with product tooling such as Aha!, Azure DevOps, JIRA, or comparable platforms.
Experience working with compliance, legal, or regulatory stakeholders in a multi-jurisdictional environment.
What Success Looks Like
In this role, you’re not measured by how much you ship, you’re measured by the outcomes you drive with your team. In your first year, success looks like:
Deep fluency in the assigned problem space, backed by direct customer and stakeholder engagement.
A validated, outcome-oriented roadmap your squad believes in and can execute against.
Demonstrated velocity in shipping, learning, and adjusting with confidence.
Trusted relationships that enable influence without authority to drive alignment across engineering, design, commercial, and other operational functions.
Clear evidence of customer impact: reduced friction, improved adoption, or measurable efficiency gains.
Logistics
Location: Preference given to local candidates in our Mesa, AZ headquarters or New York City office. Will consider remote candidates who express willingness for occasional travel.
Travel: Light, primarily for team offsites and customer engagement.
Reports to: Director of Product.
Verra Mobility Values
An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values:
Own It.
We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation.
Do What’s Right.
We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous.
Choose Courage Over Comfort.
We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease.
Win Together.
We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others.
With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company.
Verra Mobility Applicant Privacy Notice
Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
.
Location: New York_Remote
The Opportunity
We're looking for a Product Manager who is passionate about understanding customer problems, validating opportunities, and leading cross-functional teams to deliver measurable business outcomes. You'll own a product area
focused on backoffice (cloud data processing) solutions, driving product strategy and execution, charting the roadmap, and managing the lifecycle of Verra Mobility’s market leading systems. As a member of the Product Management team, you will partner with leaders across the product, operations, engineering, IT, and sales teams to drive innovation and leverage the latest technologies to deliver best-in-class backoffice systems that achieve business objectives. The successful candidate will be passionate about technology with an ability to lead innovation and execution. In this business-critical role, you will merge customer needs with technology to cast a vision for Verra Mobility’s legacy and future backoffice solutions and drive the organization toward that goal. You will collaborate with key internal stakeholders to manage the backoffice systems across their lifecycle, gathering requirements, scoping initiatives, establishing product roadmaps, and working with development and support teams to ensure high product quality while minimizing cost.
You’ll join a product squad with a defined problem space, embedded alongside a technical lead and engineering team. But this isn’t a backlog-grooming role, as you’ll own discovery
: getting in front of customers, validating the problems, stress-testing potential solutions, and driving a roadmap that delivers measurable outcomes. You’ll report directly to the Director of Product and operate as a key product leader as we build toward a modern Product Operating Model.
What
You’ll
Do
Own the problem, drive discovery
Lead continuous customer discovery, including interviews, ride-alongs, and data analysis, to validate problems and pressure-test solutions before committing to build.
Frame customer and business problems with clarity and evidence, ensuring the team works on what truly matters.
Define and maintain a prioritized roadmap grounded in measurable outcomes, rather than a feature wish list.
Balance user needs, business objectives, and technical feasibility, using sound judgment and solid product sense.
Partner early with Legal, Compliance, and Operations functions to shape viable solutions.
Own the problem end-to-end, make tough prioritization calls, document your reasoning and outcomes.
Guide delivery and build trust with your squad
Partner closely with your technical lead and engineering team, creating context, removing ambiguity, and enabling the squad to move with speed and confidence.
Collaborate closely with your design lead to ensure solutions are not just technically sound but also user centered.
Write crisp, outcome-oriented briefs and acceptance criteria; avoid over-specifying implementation details, and focus on why the problem matters and what success looks like
Leverage AI tools to accelerate discovery synthesis, documentation, and delivery workflows.
Share your approach to discovery and product thinking with peers, contributing to a growing product practice.
Connect product to impact
Develop a working understanding of how products drive revenue, retention, and operational efficiency for our customers.
Contribute to go-to-market strategy by informing pricing, positioning, and launch readiness in close collaboration with commercial teams.
Define and track success metrics that link customer outcomes to business performance.
Serve as the internal expert for your product area trusted by sales, operations, and leadership.
What
We’re
Looking For
Required
3–7 years of product management experience, with a track record of owning outcomes.
Experience leading customer discovery and translating qualitative and quantitative insights into product decisions.
Ability to operate effectively in a cross-functional squad environment alongside engineering and design peers.
Experience in regulated or complex-domain industries, such as automotive, fleet, payments, fintech, or similar, with a demonstrated record of learning new domains.
Comfort working in and contributing to organizations evolving their product operating model.
Active use of AI tools to enhance productivity in day-to-day product work, such as discovery workflows, streamlining documentation, automating research, creating prototypes, and accelerating delivery.
Excellent written and verbal communication: you write clearly, tailor your message to different audiences, and tell a coherent product story.
Strong critical thinking and a bias toward evidence over opinion.
Great to Have
Knowledge of the transportation/smart mobility sector and road safety is a plus
Familiarity with product tooling such as Aha!, Azure DevOps, JIRA, or comparable platforms.
Experience working with compliance, legal, or regulatory stakeholders in a multi-jurisdictional environment.
What Success Looks Like
In this role, you’re not measured by how much you ship, you’re measured by the outcomes you drive with your team. In your first year, success looks like:
Deep fluency in the assigned problem space, backed by direct customer and stakeholder engagement.
A validated, outcome-oriented roadmap your squad believes in and can execute against.
Demonstrated velocity in shipping, learning, and adjusting with confidence.
Trusted relationships that enable influence without authority to drive alignment across engineering, design, commercial, and other operational functions.
Clear evidence of customer impact: reduced friction, improved adoption, or measurable efficiency gains.
Logistics
Location: Preference given to local candidates in our Mesa, AZ headquarters or New York City office. Will consider remote candidates who express willingness for occasional travel.
Travel: Light, primarily for team offsites and customer engagement.
Reports to: Director of Product.
Verra Mobility Values
An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values:
Own It.
We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation.
Do What’s Right.
We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous.
Choose Courage Over Comfort.
We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease.
Win Together.
We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others.
With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company.
Verra Mobility Applicant Privacy Notice
Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
.
Location: London; New York City
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
THE ROLE
Synthesia is the #1 Enterprise AI video generation since 2016, and today we work with 90% of the Fortune 100. Our core product, Studio, lets anyone turn a script into a polished video with an AI avatar, no camera or crew required.
Now we're entering a new chapter. We're making those avatars interactive. Instead of watching a video, people can have a real conversation with one: ask it questions, practice a sales pitch, run through a training scenario, get answers back in real time.
That shift needs a story, and you own it. As Head of Product Marketing, you lead the function that decides how the whole product line is positioned, messaged, and launched. Video, interactive avatars, the API, and whatever comes next.
You'll set the platform narrative and keep it sharp as the product evolves. You'll run launches across the portfolio, own competitive strategy and buyer research, and set the messaging that sales, web, and campaigns all run on.
You'll lead a team of five PMMs, hire into it, and raise the bar for what good looks like.
WHAT YOU'LL DO
- You build and deploy agents. You've automated real parts of your own PMM work with them, whether that's competitive tracking, research synthesis, or launch ops.
- You've led a portfolio of products and built or grown the team behind it.
- You set positioning and narrative at the company level, the top-line story everything else ladders up to.
- You're an excellent communicator, written and spoken. Your have experience managing senior stakeholders and complex program management.
- You partner closely sales enablement, and can support complex enterprise GTM motions.
COMPENSATION
The base salary range for this position is £140,000 - £180,000.
We also offer equity and a comprehensive benefits package. Individual compensation will depend on experience, skills, and location.
Location: New York, NY or Remote
About Us:
EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of
Inc.’s Best Workplaces
3 years in a row and Built In’s Best Places to work in 2025 and 2026!
About You:
As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users.
In this Role You Will:
Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization
Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact
Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows
Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness
Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production
Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance
Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback
Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions
Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations
Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments
Skills Requirements:
5-8+ years of experience writing performant Python code following modern best practices
Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments
Proven experience leading technical projects and driving them from concept through production deployment
Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability
Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures
Proven ability to build and integrate API services within service-oriented or microservice architectures
Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes
Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications
Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders
Bonus Points:
Experience translating state-of-the-art AI/ML research into production code
Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes
Experience building agentic or autonomous AI systems in production
Background working with multimodal data (e.g., images, audio)
Experience mentoring engineers or providing technical leadership across projects or teams
Work-life, Culture & Perks:
Compensation:
The base salary range is
$200-235K,
with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being:
Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family:
Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life:
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training:
$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship:
We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service.
As a
Senior
AI Deployment Consultant
, you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI.
You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence.
What will I be doing?
Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state.
Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols.
Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.
What skills do I need?
5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this.
Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.
How Will I Be Measured?
Automation Rate - Are you driving your customers to achieve high adoption of Fin?
CX Score — do customers rate the deployment experience highly?
On-time, on-budget delivery — do your projects land against the timeline and scope you committed to?
Time-to-value — how quickly do customers get to a working, measurable Fin deployment?
Contribution to the team — the templates, mentorship, and best practices you leave behind.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the Greater Chicago Area is $109,000-$159,650. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: San Francisco, California
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?
It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service.
As a
Senior
AI Deployment Consultant
, you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI.
You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence.
What will I be doing?
Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state.
Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols.
Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.
What skills do I need?
5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this.
Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.
How Will I Be Measured?
Automation Rate - Are you driving your customers to achieve high adoption of Fin?
CX Score — do customers rate the deployment experience highly?
On-time, on-budget delivery — do your projects land against the timeline and scope you committed to?
Time-to-value — how quickly do customers get to a working, measurable Fin deployment?
Contribution to the team — the templates, mentorship, and best practices you leave behind.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $120,000-$177,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role
Alpaca is building the next generation of global brokerage and clearing infrastructure. We are looking for a senior product manager who can own the clearing systems product lifecycle at a rapidly scaling self-clearing broker-dealer.
Your mission is to build and operate the systems and processes that keep Alpaca accurate, compliant, and on time across areas like core brokerage, clearing, ledger, custody, money movement, and multi-currency infrastructure. You will make clearing scale reliably as Alpaca adds asset classes, account types, trading hours, and partner institutions, and as we run a true self-clearing book at DTCC, OCC, and FICC.
This person should be able to walk into ambiguity, understand the full clearing lifecycle, design the architecture, build a working prototype, and lead a team toward production-grade infrastructure. The role sits at the intersection of product, engineering, operations, finance, compliance, and regulatory infrastructure.
What You’ll Own
You will lead the design and buildout of Alpaca’s core clearing infrastructure across brokerage, custody, ledger, asset movement, and global market expansion.
This includes:
Defining the long-term architecture for Alpaca’s clearing platform across accounts, positions, balances, ledgers, journals, settlements, stock record, and regulatory books and records.
Designing multi-currency cash and position systems that can support global equities, FX, fractional trading, options, bonds, Treasuries, fixed income, mutual funds, and other asset classes.
Partnering with engineering to prototype and build new clearing services rather than relying only on third-party service bureau workflows.
Working cross-functionally with operations, finance, treasury, compliance, legal, risk, and product to ensure the platform is scalable, controlled, and regulator-ready.
Translating complex clearing, custody, and regulatory requirements into clear product and engineering requirements.
Helping Alpaca grow from U.S.-centric brokerage infrastructure into a global, multi-asset, multi-currency clearing platform.
Who You Are (Must-Haves)
5+ years in Product Management, technical program management, or engineering on brokerage, clearing, or post-trade infrastructure.
10+ years of experience in brokerage, clearing, custody, prime brokerage, trading infrastructure, financial market infrastructure, or capital markets technology.
Demonstrated depth on at least one clearing surface: settlement and stock record, books and records, corporate actions, margin, ACATS, DTCC processing.
Highly technical. Ability to work directly with engineers and product teams to turn complex domain requirements into scalable system designs.
Comfort shipping in parallel with Compliance, Legal, and Operations in a regulated broker-dealer environment.
Strong operating judgment to weigh risk, operational efficiency, capital allocation, tech feasibility, time, and budget.
Experience leading senior teams and influencing across functions in a high-growth environment.
Who You Might Be (Nice-to-Haves)
You helped build, convert, or modernize corporate-action processing, a security master, or a self-clearing back office.
Experience with global brokerage expansion, including international equities, FX, local market custody, omnibus models, sub-ledgers, and currency controls.
Familiarity with the B2B2C correspondent / broker-as-a-service model.
AI-native PM workflow: recurring use of tools like Cursor, Claude, ChatGPT, or custom agents in PRD drafting, incident synthesis, data exploration, and prototyping.
Example Problems You Should Be Comfortable Solving
How should stock record reconcile to DTC, custodians, omnibus providers, internal ledgers, trading systems, and customer-facing balances?
How should global equities, FX, fractional shares, options, fixed income, Treasuries, and mutual funds fit into one clearing architecture?
How should a multi-currency brokerage ledger represent trades, settlements, FX conversions, fees, financing, journals, and custody balances?
How should cashiering, ACH, wires, ACATS, journals, reversals, and transfer exceptions be represented in ledger and operations systems?
How should possession or control, segregation, fully paid lending, margin, reserve, and reconciliation controls be embedded into the platform instead of handled as manual after-the-fact processes?
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Canada
What the Role Is
The modern tech stack has collapsed the distance between designing an experience and shipping it. We're hiring Senior Product Designers to build the next generation of Babylist by leveraging this reality.
The
Senior Product Designer
is the primary owner for user experience, delight, and interaction quality on the team. Equal parts skilled designer, hands-on researcher, and AI-enabled builder, you own how things feel, think broadly about user flows across the full Babylist experience, and hold the bar for whether something is intuitive, beautiful, and emotionally right for the user. You work alongside product managers, engineers, and data partners, but you are the one driving the experience layer and making sure every interaction meets both the functional and emotional needs of our users to drive impactful outcomes for the business.
You flex beyond the basics by running research, standing up working prototypes (in hours not days), and contributing to production-quality front-end code ensuring polish is never a trade-off. You help Babylist make the transition into AI-native product development by modeling what an AI-native designer does every day.
In this role, you shape how parents discover products, receive gifts, and navigate early parenthood across web and native mobile. These are not casual interactions. Families are making decisions during one of the most meaningful and overwhelming transitions of their lives. The experience has to be easy to use, easy to understand, and worthy of the trust they place in us.
Who You Are
Craft and experience obsessed
. You care deeply about how things feel, not just how they function — the transitions, motion, and details most people can't articulate but everyone responds to. You have a portfolio of shipped consumer product work across web and native mobile that proves it.
A systems thinker.
You see how a single interaction fits into a broader flow, how flows connect across products, and how the design system enables all of it. You design for coherence, not just screens.
Industry aware and pattern fluent.
You know the interaction patterns and design conventions that have become table stakes — and when to apply them versus evolve them for what Babylist families actually need.
Human-and-data-centered.
You plan and run generative and evaluative research yourself, bring concrete qualitative and quantitative evidence into design decisions, and communicate design rationale clearly and persuasively.
Product savvy
. You know what's worth building, what UX is right for a given context, and what will resonate with users in ways that support the business's goals — making engineers and PMs faster by reducing ambiguity and tightening scope.
Critical thinker.
You question assumptions and stress-test ideas before committing to them, distinguishing between what the data says and what people want it to say. You approach problems with creativity and multi-dimensional thinking.
Feedback fan.
You build feedback loops into your process from the start — putting prototypes in front of users early, sharing in-progress work before it's polished, and actively soliciting critique that makes it better.
AI-native and a real builder.
You move from a rough concept to an interactive prototype in hours, not weeks, and write production frontend code yourself rather than depending on an engineer to translate your mock. You have a portfolio of work built this way.
Outcome owner
. You instrument your own work, track whether it's moving the right metrics, and make clean iterate/pivot/stop calls based on evidence, not attachment.
Adaptable and low ego
. You jump in where needed across team boundaries without waiting for permission, and you bring curiosity to ambiguity rather than anxiety.
You naturally reach for AI in your work.
At Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
How You Will Make An Impact
Own the experience layer across a customer journey or product surface end-to-end
. Think holistically about user flows, brand expression, information architecture, and interaction patterns across the full Babylist product ecosystem - both web and native app - working with other designers and teams as needed.
Design and build experiences that drive outcomes
. That means using sound judgement to create experiences that solve real problems, are intuitive under stress, simple when decisions are complex, and delightful when the moment calls for it.
Define excellence.
Set the bar for quality, delight, and product excellence by demonstrating and teaching your team what great looks and feels like. Eschew perfection for learning that propels the product toward your high bar.
Stay deeply connected to users
. Talk to customers. Plan and execute research to ground design decisions in how families actually behave. Create fast feedback loops through user testing, Babylist communities, and other channels. Your design decisions are grounded in reality, not assumption.
Contribute to and evolve Babylist's design system
. Build reusable components, define interaction patterns, and ensure consistency across web and native mobile.
Operate with agency.
Don't wait for permission — create the conditions for your success and bias toward action, starting before you have the full picture and learning as you go. Let challenges energize you to think creatively and try new things.
Build with AI-native workflows
. Research synthesis, rapid prototyping, production code, design system evolution, interaction exploration. Show your team what's possible by doing it yourself leveraging AI - then share and teach what’s working.
Write production frontend code
. Work in the codebase to implement, refine, and polish the experiences you design. Close the gap between what a design looks like in Figma and what a user actually touches - finding and fixing rough edges without being asked. The transitions, the micro-interactions, the loading states, the empty states, the error states, the keyboard behavior. Own all of it.
Help democratize design.
Support AI-enabled workflows that bring product managers, engineers, and other collaborators into design tools, creating the conditions for non-designers to contribute meaningfully to the experience layer. Act as a consultant and quality bar on that work, not a gatekeeper. Build shared literacy around what good looks like, so the people working alongside you can make better decisions independently.
Multiply your team.
Be an excellent partner to engineers, product managers, and analysts as your co-builders to move the highest-impact work forward with strong communication and collaboration. Bring tighter problem framing, sharper user insight, and prototypes that make decisions easier to make. Design the repeatable, low-friction systems that let everyone on your team, including you, ship faster without sacrificing quality.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: United States
What the Role Is
The modern tech stack has collapsed the distance between designing an experience and shipping it. We're hiring Senior Product Designers to build the next generation of Babylist by leveraging this reality.
The
Senior Product Designer
is the primary owner for user experience, delight, and interaction quality on the team. Equal parts skilled designer, hands-on researcher, and AI-enabled builder, you own how things feel, think broadly about user flows across the full Babylist experience, and hold the bar for whether something is intuitive, beautiful, and emotionally right for the user. You work alongside product managers, engineers, and data partners, but you are the one driving the experience layer and making sure every interaction meets both the functional and emotional needs of our users to drive impactful outcomes for the business.
You flex beyond the basics by running research, standing up working prototypes (in hours not days), and contributing to production-quality front-end code ensuring polish is never a trade-off. You help Babylist make the transition into AI-native product development by modeling what an AI-native designer does every day.
In this role, you shape how parents discover products, receive gifts, and navigate early parenthood across web and native mobile. These are not casual interactions. Families are making decisions during one of the most meaningful and overwhelming transitions of their lives. The experience has to be easy to use, easy to understand, and worthy of the trust they place in us.
Who You Are
Craft and experience obsessed
. You care deeply about how things feel, not just how they function — the transitions, motion, and details most people can't articulate but everyone responds to. You have a portfolio of shipped consumer product work across web and native mobile that proves it.
A systems thinker.
You see how a single interaction fits into a broader flow, how flows connect across products, and how the design system enables all of it. You design for coherence, not just screens.
Industry aware and pattern fluent.
You know the interaction patterns and design conventions that have become table stakes — and when to apply them versus evolve them for what Babylist families actually need.
Human-and-data-centered.
You plan and run generative and evaluative research yourself, bring concrete qualitative and quantitative evidence into design decisions, and communicate design rationale clearly and persuasively.
Product savvy
. You know what's worth building, what UX is right for a given context, and what will resonate with users in ways that support the business's goals — making engineers and PMs faster by reducing ambiguity and tightening scope.
Critical thinker.
You question assumptions and stress-test ideas before committing to them, distinguishing between what the data says and what people want it to say. You approach problems with creativity and multi-dimensional thinking.
Feedback fan.
You build feedback loops into your process from the start — putting prototypes in front of users early, sharing in-progress work before it's polished, and actively soliciting critique that makes it better.
AI-native and a real builder.
You move from a rough concept to an interactive prototype in hours, not weeks, and write production frontend code yourself rather than depending on an engineer to translate your mock. You have a portfolio of work built this way.
Outcome owner
. You instrument your own work, track whether it's moving the right metrics, and make clean iterate/pivot/stop calls based on evidence, not attachment.
Adaptable and low ego
. You jump in where needed across team boundaries without waiting for permission, and you bring curiosity to ambiguity rather than anxiety.
You naturally reach for AI in your work.
At Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
How You Will Make An Impact
Own the experience layer across a customer journey or product surface end-to-end
. Think holistically about user flows, brand expression, information architecture, and interaction patterns across the full Babylist product ecosystem - both web and native app - working with other designers and teams as needed.
Design and build experiences that drive outcomes
. That means using sound judgement to create experiences that solve real problems, are intuitive under stress, simple when decisions are complex, and delightful when the moment calls for it.
Define excellence.
Set the bar for quality, delight, and product excellence by demonstrating and teaching your team what great looks and feels like. Eschew perfection for learning that propels the product toward your high bar.
Stay deeply connected to users
. Talk to customers. Plan and execute research to ground design decisions in how families actually behave. Create fast feedback loops through user testing, Babylist communities, and other channels. Your design decisions are grounded in reality, not assumption.
Contribute to and evolve Babylist's design system
. Build reusable components, define interaction patterns, and ensure consistency across web and native mobile.
Operate with agency.
Don't wait for permission — create the conditions for your success and bias toward action, starting before you have the full picture and learning as you go. Let challenges energize you to think creatively and try new things.
Build with AI-native workflows
. Research synthesis, rapid prototyping, production code, design system evolution, interaction exploration. Show your team what's possible by doing it yourself leveraging AI - then share and teach what’s working.
Write production frontend code
. Work in the codebase to implement, refine, and polish the experiences you design. Close the gap between what a design looks like in Figma and what a user actually touches - finding and fixing rough edges without being asked. The transitions, the micro-interactions, the loading states, the empty states, the error states, the keyboard behavior. Own all of it.
Help democratize design.
Support AI-enabled workflows that bring product managers, engineers, and other collaborators into design tools, creating the conditions for non-designers to contribute meaningfully to the experience layer. Act as a consultant and quality bar on that work, not a gatekeeper. Build shared literacy around what good looks like, so the people working alongside you can make better decisions independently.
Multiply your team.
Be an excellent partner to engineers, product managers, and analysts as your co-builders to move the highest-impact work forward with strong communication and collaboration. Bring tighter problem framing, sharper user insight, and prototypes that make decisions easier to make. Design the repeatable, low-friction systems that let everyone on your team, including you, ship faster without sacrificing quality.
About Compensation
We use a market-based approach to compensation. The starting salary range for this role is:
$178,035 to $213,642 + bonus and meaningful equity
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: San Francisco, CA
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
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Depending on your area of chemistry, you will:
Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC)
Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties
Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties
Coordinate synthesis and biological evaluation with external contract research organizations and academic partners
Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams
Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models
Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization
Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry
Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), with recent, sustained hands-on laboratory work
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
5+ years of experience in your area of chemistry beyond the PhD
For medicinal chemists, a track record of advancing programs from hit identification through lead optimization
Experience directing chemistry activities at contract research organizations
Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation
Experience using AI or ML tools in chemistry or the life sciences
Publications and/or patents demonstrating scientific impact
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:
$300,000
—
$320,000 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: Remote
Workplace: Remote
WHO WE ARE
Help Scout started in 2011 with a simple premise: support software should treat customers like people, not tickets. 3+ billion conversations later, more than 10,000 companies use Help Scout to grow relationships with customers of all types, from clients to patients and beyond.
Now we’re in a new chapter: not only building AI that gives teams more space to focus on the customer experience, but also reimagining how we operate in an AI-native world. That means shipping and learning faster, without compromising on craft. Great work here carries a strong opinion and sweats the details, regardless of the tools we use to drive it.
We’ve been a fully remote team https://articles.helpscout.com/blog/remote-culture/ since day one, with 120+ teammates now all over the world. It’s a culture where you’ll be trusted to take ownership, stay curious, and raise the quality of work around you. It comes with clear expectations and a team that will push you to do some of the best work of your career.
If that kind of challenge gives you energy, we’d love to meet you.
YOUR IMPACT
Help Scout has earned something most software companies never get: genuine trust. 10,000+ businesses use us because we've always believed that customer relationships are the business, and that every interaction should feel like it came from someone who cares. That trust took a decade to build, and now it's the foundation for something bigger.
The support industry is changing shape. AI will take on more of the tedious work so humans can lean into the relationship part. At Help Scout, the place where that relationship actually happens is the Conversations product group, which spans two product lines. Inbox is the workspace: every channel and every conversation in one place, built for the people who spend their whole day inside it. Copilot is AI working alongside them: drafts ready to review, context at their fingertips, and the tedious parts handled so every reply is faster and better.
Conversations is the most-used surface we have. This is where every user spends most of their day, so speed, reliability, and craft are the product. It's also where the rest of the platform becomes real: Agent hands conversations to humans at the right moment, customer context shows up right where the work happens, and every one of those moments either builds trust or spends it. You'll be accountable for bringing it all to life with clarity and impact.
ABOUT THE ROLE
You'll own the Conversations product group end to end: vision, roadmap, monetization, and results for the Inbox and Copilot product lines. You'll report to Scott Rocher, our Chief Product Officer, and you'll be accountable for the revenue growth of the group. This is a player/coach role.
Inbox and Copilot are the surfaces our customers touch most, the core of the business today and the front door to everything we build next. You'll do the strategic product work on them yourself: deciding what needs to get built next, how the workspace and its AI evolve together, and where investment in craft pays off. As the group grows, you'll hire and manage a team of PMs.
Note: This role is open to US-based applicants only.
WHAT YOU'LL DO
- Set the vision and strategy for the Conversations group, and decide how Inbox and Copilot evolve together as one experience where AI makes every support pro faster without breaking their flow.
- Drive the Inbox roadmap hands-on: the workspace where every channel comes together and where our users spend their time in the product. This surface is held to a bar where speed, reliability, and polish are a differentiator.
- Drive the Copilot roadmap hands-on: integrations, contextual summaries, suggestions, and in-the-moment assistance that make each person on a support team meaningfully better at their job.
- Own how your products are monetized. Conversations spans seats and AI usage, and you'll design the packaging that makes each seat more valuable as Copilot does more. You'll collaborate with partners across Help Scout to model the impact of the products you ship.
- Partner deeply with the Autonomy group. Significant parts of Copilot run on the agent platform, and likewise, Agent hands conversations to humans in your workspace. The seams between the two groups are owned jointly, and making them invisible to customers is part of the job.
- Spend real time with customers, understanding how support pros and their leaders actually work, where AI helps, and where it gets in the way
- Partner with GTM and CS so the Conversations story is clear, the adoption motion is tight, and customer feedback loops back into the roadmap
- Build and manage the Conversations PM team as it grows, coaching for judgment and raising the bar for product craft across the group
WHAT WE'RE LOOKING FOR
- You've owned a core product at scale, the kind people spend their whole workday in, and you're as fluent in the commercial side of product as you are in features and user experience
- You've shipped AI-powered products and you understand how they succeed and fail
- You collaborate well across ownership lines. Copilot ships on technology the Autonomy group builds, and you know how to co-own a product surface with a peer and keep the seams invisible to customers
- You think in outcomes. Time to resolution, drafts accepted, teams that get more efficient as they use more of Help Scout .
- You care about craft. You notice the details that make daily-use software feel fast, calm, and reliable, and you hold a roadmap accountable to them
- You have strong monetization instincts. You can package a product line that spans seats and outcomes, and explain the tradeoffs.
- You've managed product managers before and still love doing the work yourself. You know how to coach without taking over, and you know when a decision is yours to make
- You're data self-sufficient. You pull your own data, run your own analyses, and use numbers to pressure-test direction
- You're technically fluent enough to build genuine trust with engineers. You can hold a meaningful conversation about system architecture and make better decisions because of it
- You're fluent with AI tools and treat them as part of your craft, for research synthesis, strategy testing, rapid prototyping, and customer signal analysis. You have a point of view on where these tools are heading and how they're changing the shape of product work
- You understand that when execution is cheap, judgment is the bottleneck. Your highest-leverage hours go to strategy and prioritization, defining what's next and what's not
- You're an excellent writer. Help Scout runs on writing, and you make your thinking visible in one-pagers, briefs, and narratives that move decisions forward
- You've worked in B2B SaaS and understand the difference between building for support teams and building for end consumers
COMPANY VALUES
HAPPY TO HELP
Help is in our first name! We show up for each other — not out of obligation, but because we’re invested in the team’s collective success. We share knowledge freely, lead with generosity, and practice empathy with our teammates, customers, and community.
CRAFT OVER CONVENTION
Our success relies on the quality and craft https://paulstamatiou.com/craft of the work we put into the world. The status quo simply won’t work. So we insist on narrow focus, sweating every detail, and relentless pursuit of customer delight.
PROGRESS NOT PERFECTION
Achieving our true potential — collectively and individually — requires constant progress and forward momentum. By creating a culture of curiosity and openness, we aim to create a safe space for mistakes, the ability to identify them quickly, and use them to get better.
OWN THE OUTCOME
Own the outcome means taking full responsibility for the results of your work, decisions, and contributions. It reflects a mindset of accountability, proactiveness, and follow-through. If you “own the outcome,” you don’t just complete tasks, you ensure your work leads to meaningful results, and take initiative to solve problems rather than passing them along.
Read more about how we define, share, and live these values here https://articles.helpscout.com/blog/aligning-culture-with-values/.
BENEFITS AND PERKS
- Competitive salary and an internal, transparent salary formula based on market data
- Flexible time off – you choose the holidays and vacations that make sense for you
- 12 weeks of fully paid parental leave for all new parents, including adoption and foster care
- A home office stipend to help you get set up and productive
- A co-working stipend up to $300 a month if you choose to work out of your house
- A yearly professional development stipend of $1,800 to help you grow in your craft
- If you’re in the U.S. or Canada, we offer top tier health insurance for you and your dependents.
HIRING GUIDELINES:
All roles at Help Scout are fully remote. Some positions have specific location requirements. For roles outside the U.S. and Canada, we work with teammates as independent contractors under country-specific agreements.
We do not sponsor visas. Teammates must already be authorized to work from their home country.
We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion https://www.helpscout.com/dei/. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do.
To provide you with the best experience, we can support you with accommodations or adjustments at any stage of the recruitment process. Simply inform our recruitment team during your conversation with them.
A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS
While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team.
On our end, we utilize a platform called Brighthire as a notetaker and review tool to ensure a fair and transparent hiring process.
Beware of scammers! All legitimate communication from Help Scout regarding your application will come directly from an @helpscout.com http://helpscout.com email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.
Position Summary: The Medical Science Liaison (MSL) reports to the Sr. Director, National Field Medical Affairs and is responsible for fostering strong relationships with key opinion leaders (KOLs) and supporting the scientific and clinical strategy of Orca Bio's next generation allogeneic cell therapies. The ideal candidate will have deep expertise in hematopoietic stem cell transplantation (HSCT), cellular therapy, and the evolving cell therapy landscape, including clinical, operational, regulatory, and market access considerations. The MSL will serve as a trusted scientific partner between Orca Bio and external healthcare providers (HCPs), establishing strong professional collaborations with investigators and other HCPs within the designated territory (Southern California, Arizona, New Mexico, or Colorado). The MSL will also be an active leader and contributor on projects supporting Medical Affairs Strategic Objectives.
Responsibilities:
— Serve as a subject matter expert in stem cell transplantation, cell therapy, and cellular immunotherapy, providing scientific insights on treatment paradigms, clinical operations, patient access, and competitive landscape.
— Identify, develop, and maintain deep scientific, peer-to-peer relationships with academic stem cell therapy experts, thought leaders, HCPs, and access stakeholders to answer scientific and product-related questions and ensure safe and appropriate use of Orca Bio products.
— Prepare and maintain a territory management plan shared with Medical Leadership and internal stakeholders.
— Engage with Orca field team members to provide medical support for onboarding activities related to treatment center authorization, adverse event reporting, handling out-of-spec products, and partner with Market Access colleagues to provide medical education and support to local payers.
— Maintain a deep and current understanding of hematologic malignancies, stem cell transplantation, cell therapy, cellular immunotherapy, and competitive developments to facilitate high-level scientific exchange.
— Assess transplant and cell therapy landscape through engagement with KOLs, investigators, and academic centers to identify scientific trends, evidence gaps, and research opportunities relevant to Orca Bio's therapies.
— Serve as primary liaison for Orca Bio's Investigator-Sponsored Trial (IST) program, supporting research concept development, proposal and protocol development, governance communication, and scientific oversight throughout study phases.
— Gather and communicate actionable scientific insights and stakeholder feedback to leadership and cross-functional partners to inform medical strategy, evidence generation, and lifecycle planning.
— Provide scientific and clinical expertise to support internal and external stakeholders through advisory boards, clinical investigator meetings, educational meetings, professional organizations, advocacy groups, GPOs, and speaker bureaus.
— Support clinical trial activities to enhance patient recruitment, enrollment, and discussions on safe and effective use of investigational products, ensuring adherence to Good Clinical Practice (GCP) and regulatory standards.
— Lead collection, analysis, synthesis, and dissemination of scientific information from congresses and scientific exchanges, translating data and feedback into actionable recommendations.
— Coordinate efforts of other MSLs for congress coverage when assigned.
— Provide medical and scientific support for health outcomes, real-world evidence, and payer/provider engagement strategies.
— Initiate and autonomously execute projects aligned with Orca Bio’s scientific, clinical, and business operations, partnering with research, clinical development, commercial, market access, regulatory, and quality functions.
— Provide education and training to commercial marketing and sales teams on therapies and disease states.
Required Qualifications:
— Advanced clinical degree in life-science or basic-science discipline (MD, DO, PharmD, NP, PA, DNP, M.Sc, or Ph.D.) and industry experience as an MSL.
— Significant clinical and/or industry experience in malignant hematology, HSCT, cellular therapy, CAR-T, immune effector cell therapies, or other advanced therapy modalities.
— Strong understanding of cell therapy ecosystem including transplant center operations, apheresis and cell processing workflows, treatment center authorization, patient referral pathways, and competitive cell therapy products.
— Strong understanding of clinical development, regulatory requirements, and commercial strategies; HEOR data experience is a plus.
— Excellent interpersonal and communication skills to engage and influence diverse stakeholders.
— Ability to interpret and present complex scientific data to diverse audiences.
— Strong strategic thinking, problem-solving skills, and solution-oriented mindset.
— Ability to collaborate with cross-functional colleagues to serve internal and external stakeholder needs.
— Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment.
Preferred Experience:
— 5+ years of industry experience as an MSL.
— Experience with field medical launch planning, execution, and post-launch support.
— Direct experience supporting cell therapy, stem cell transplantation, CAR-T, or other advanced therapeutic platforms.
— Experience working in a small biotech company or start-up environment.
Compensation and Benefits:
— Annual salary range $195,000 - $245,000 based on experience, education, location, and other factors.
— Eligibility for pre-IPO equity and annual bonus.
— Competitive medical, dental, and vision benefits.
— PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits.
— Other perks include subsidized daily lunches and snacks at on-site locations.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp is building new products that can reshape how finance teams operate. These products begin before the market playbook is obvious: the customer problem is still being sharpened, the product is evolving quickly, and the path from early signal to durable growth must be built.
We are hiring a Product Marketing Manager, New Products to lead that work. You will be embedded with Product and Engineering from the earliest stages, using customer and market insight to help choose the audience, shape the product, define the story, and build the commercialization and adoption motion.
This is not a launch-calendar or asset-production role. You will own the full business read for the product: customer problem, ICP, positioning, product readiness, launch, pipeline, activation, adoption, retention, proof, and the next product or GTM intervention.
You'll be aligned to a product surface area based on business needs and your background.
WHAT YOU'LL DO
- Shape product strategy early. Bring customer, market, and competitive evidence into product decisions before the roadmap is fixed. Help the team identify the wedge, target segment, table stakes, differentiators, and highest-leverage problems to solve.
- Find product-market clarity. Define the ICP, buyer, user, jobs to be done, workflow, alternatives, and reasons customers will switch or expand.
- Own the product narrative. Build the canonical positioning, messaging, claims, proof, and competitive story. Translate technical and operational complexity into a clear customer value proposition without flattening how the product works.
- Design the zero-to-one GTM. Determine how the product should enter the market, including audience, channel, pricing and packaging inputs, sales motion, self-serve motion, launch sequence, and adoption plan.
- Lead launches end to end. Coordinate Product, Engineering, Sales, Growth, Creative, Communications, Support, and other partners around one launch strategy, readiness bar, and set of measurable outcomes.
- Build commercialization, not just awareness. Create the programs, enablement, proof, and feedback loops that turn interest into qualified pipeline, activation, retained usage, expansion, and revenue.
- Work deeply with Product and Engineering. Understand the product's architecture, data, constraints, and trust model well enough to influence tradeoffs and explain it credibly to both technical and business audiences.
- Create the customer learning system. Develop direct relationships with buyers and users, run structured discovery, capture objections and product gaps, and turn what you learn into product and GTM decisions.
- Own the business scorecard. Define leading and lagging indicators, build a clear operating read, diagnose what is moving or stuck, and recommend the next intervention.
- Build proof and competitive intelligence. Develop customer evidence, use cases, benchmarks, and a current view of the market that improve both product decisions and GTM execution.
- Use AI as an operating advantage. Apply AI to research, synthesis, analysis, content development, and repeatable workflows—and help the team raise its standard for speed and quality.
- Create the new-products playbook. Build a repeatable method for taking an emerging product from customer signal to product-market clarity, launch, commercialization, and scaled growth.
WHAT YOU'LL NEED
- 6+ years of experience in B2B software product marketing, product management, growth, strategy, or another product-led GTM function, including significant ownership of a product or business outcome.
- Demonstrated zero-to-one experience with a new product, category, platform, or business line—from early customer discovery through launch and adoption.
- A record of influencing product strategy using customer, market, competitive, and performance evidence.
- Strong customer instincts. You can run discovery, identify the real workflow and buying problem, and separate a loud request from a durable market signal.
- Technical and operational fluency. You can learn a complex product, work credibly with Product and Engineering, and explain how it works to different audiences.
- Exceptional written and verbal communication. You can produce a sharp product narrative, an executive recommendation, a launch plan, and a sales story that survives contact with customers.
- Strong data literacy. You can define and interpret activation, adoption, retention, pipeline, conversion, revenue, and product-usage metrics and turn the findings into a decision.
- Proven ability to lead senior partners across Product, Engineering, Sales, Growth, Creative, and Marketing without relying on formal authority.
- High agency and comfort with ambiguity. You build the first version, test it with customers, make tradeoffs, and improve it quickly.
- Fluency with AI tools as part of your everyday research, analysis, writing, and operating workflows.
NICE TO HAVE
- Experience in fintech, payments, accounts receivable, accounting, developer tools, data infrastructure, AI, or another technical and workflow-heavy category.
- Experience taking a product from incubation through product-market fit and scaled commercialization.
- Experience with both product-led and sales-led growth motions.
- Experience contributing to pricing and packaging decisions.
- Experience as an early or founding PMM, product manager, founder, or operator in a fast-moving product area.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
San Francisco, CA
ОфисSan Francisco, CA; New York, NY; Atlanta, GA; Washington, D.C.
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