Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
As a Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts.
This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with sales leaders and work as one team to support your customers.
Responsibilities:
Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution
Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development
Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team
Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives
Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem
Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering
Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities
Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content
Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier
You may be a good fit if you:
Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams
Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work
Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey
Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title
Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system
Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks
Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly
Have a genuine passion for making powerful technology safe and societally beneficial
Strong candidates may have:
Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating
A track record of winning competitive technical evaluations against other LLM providers
Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment
Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly
A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions
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:
$315,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - Canada
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join Twilio as a Program Manager, Carrier Operations & Governance — a tech-forward business analyst and program manager within a brand-new function built from the ground up to reshape how Twilio manages, governs, and optimizes its global telecom carrier and wholesale supplier ecosystem.
About the job
This isn't a role that inherits an existing playbook — it's a role that writes one. Twilio is building a highly visible, cross-functional operations & governance team dedicated to optimizing its telecom carrier and wholesale supplier ecosystem. Reporting into leadership that maintains regular cadences with Twilio's CEO, CFO, CRO, and Audit Committee, you will serve as the primary owner of critical end-to-end improvements spanning multiple areas of the business, and build internal operating models that unlock new levels of operational maturity and rigor.
In this role, you will bring together, understand, and implement the policies, processes, systems, tools, and controls necessary to build a world-class operating environment. You will own the creation and stand-up of the team operating model, cadences, and runbooks while taking direct ownership of the team's internal Run-the-Business (RTB) engine.
If you thrive in high-visibility environments, love designing systems from first principles, and want to own program execution end-to-end, this opportunity is built for you.
Responsibilities
In this role, you will lead program execution across four core pillars:
Cross-Functional Governance & Leadership
Drive Visible Governance Programs:
Serve as the core Program Manager for a highly visible, cross-functional governance initiative spanning multiple areas of the business - including building and operationalizing programs from diagnosis, design, implementation, and change management
Maintain Executive Visibility:
Package and present operational narratives, risks, and performance metrics to cross-functional leadership, feeding into C-suite and Audit Committee reviews.
Implement Core Infrastructure:
Lead end-to-end process improvements across carrier operations — understanding, synthesizing, and deploying cohesive policies, workflows, systems/tools, and data-driven controls.
Operating Model, Enablement & Team Infrastructure
Build Team Foundations:
Design and stand up the new Carrier Operations & Governance operating model, operational cadences, and internal team structures.
Author Runbooks & Standards:
Author, maintain, and roll out standard operational runbooks, supply policies, and Rules of Engagement (ROEs) for internal stakeholders and carrier partners.
Design Enablement & Change Management:
Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model.
Insights & Reporting
Business Intelligence:
Leverage quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound insights.
Data & Reporting Quality:
Execute analytical requests from IRSG, Legal, Finance, and GTM stakeholders, delivering accurate data pulls, ad-hoc analyses, and structured summaries. Perform data quality checks and validation to ensure accuracy and consistency across reporting pipelines.
Design Enablement & Change Management:
Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model.
Drive Team RTB Engine:
Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability.
Facilitate Operational Rhythms:
Facilitate regular operational forums, including team OKR tracking, and deal approval workflows.
Run-the-Business (RTB) Ownership
Drive Team RTB Engine:
Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability.
Facilitate Operational Rhythms:
Facilitate regular operational forums, including team OKR tracking, and deal approval workflows.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
5+ years of experience in management consulting or as a Program Manager or Chief of Staff in telecom, RevOps, or strategy and operations.
Proven track record leading highly visible, cross-functional programs across business, technical, legal, and financial stakeholders.
Demonstrated expertise driving end-to-end process improvements by integrating policies, business processes, IT/systems tools, and operational controls.
Direct experience standing up operating models, team cadences, and operational documentation (runbooks, frameworks, ROEs).
Proven track record in designing enablement content and driving organizational change.
Experience driving Run-the-Business (RTB) cadences, OKR tracking, and operational reporting.
Strong capability in process mapping, business case writing, and translating complex operational needs into IT system specs.
Sharp written and verbal communication skills with experience presenting to executive leadership.
Strong analytical proficiency using data tools (Excel/Google Sheets, SQL, or Looker) to measure performance and policy compliance.
Team player who thrives in a fast-paced environment.
Desired:
Background in management consulting, high-growth tech, or global telecom environments.
Six Sigma or formal Program / Process Management / Prosci Change Management certification.
Operational experience within commercial Deal Desks, supplier QBR management, or revenue assurance.
Domain knowledge of A2P SMS, international voice/messaging, carrier billing, or AIT/IRSF fraud frameworks.
Familiarity with workflow and dashboarding tools (Airtable, Jira, Confluence) and operational automation (Python, Coefficient, AI tooling).
Location
This role will be remote and based in Ontario, British Columbia or Alberta, Canada.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.
The estimated pay ranges for this role are as follows:
$
90,800.00
- $
113,500.00
Target Bonus Percentage 12.5%
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until November 1, 2026 but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: San Francisco, CA
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Team
Localization is where the map meets the moment. Our localization team builds the living geospatial world model and the centimeter-level Visual Positioning System (VPS) that lets people and robots know exactly where they are, from any camera, almost anywhere on Earth.
That system is learned, not hand-built. Our localization stack has moved from classical geometry to visual models trained on billions of posed images — models that have to be accurate to the centimeter, robust to lighting and seasons and clutter, and fast enough to run in production for every query. This team sits at the junction of research and production: we take what works in a paper, make it work on our data, and make it work for customers.
About the Role
We're hiring an AI Engineer, Computer Vision, to contribute to the deep learning models at the heart of our localization system. Working alongside experienced researchers and engineers, you'll help train and iterate on the visual models — feature extractors, matchers, pose regressors, and retrieval models — that turn a single image into a precise position in the world.
This is a full-loop environment. You'll get exposure to the entire pipeline: the data the model learns on, training, evaluation, and the service that runs it in production. You'll be surrounded by people who care deeply about correctness — where a loss curve going down is not the same as a system getting better — and you'll grow into that rigor quickly.
What You'll Do
- Train and Evaluate Models — Implement, train, and evaluate visual localization models in PyTorch: local feature extraction and matching, image retrieval, pose regression, and scene-coordinate regression. Iterate on architectures, loss functions, and training loops to improve accuracy on real production captures.
- Build Data Pipelines — Contribute to high-throughput ingestion and preprocessing pipelines that turn raw imagery, poses, and 3D point clouds into training-ready datasets, including curation, sampling, and augmentation.
- Run Experiments at Scale — Run training jobs across GPU environments on our 30-billion-image corpus, working with senior engineers and ML Infrastructure to keep experiments reproducible and results interpretable.
- Extend the Benchmark — Help build and maintain the evaluation suite for localization — pose accuracy, recall across lighting and season changes, and latency under production load — so results are comparable across model versions.
- Support Production Deployment — Work with senior engineers to take models from checkpoint toward serving: export, inference optimization, and monitoring once live. Learn what it means to own a model end-to-end, not just hand off a checkpoint.
- Bridge Research and Product — Work with the Research team and Real-World Test Lab to understand how field failures translate into training data and benchmark improvements.
What You'll Bring
- Experience training deep learning models for computer vision tasks in PyTorch — through coursework, research, internships, or early industry work.
- Foundational understanding of at least one of: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, and the 3D geometry underneath them (camera models, epipolar geometry, pose parameterizations).
- Comfort working with large image or 3D datasets — preprocessing, curation, and understanding how data quality affects model behavior.
- Familiarity with GPU-based training and the ability to read and reason about training runs — identifying whether a bottleneck is in data loading, compute, or model architecture.
- Strong Python skills and a habit of writing code that others can rerun and build on.
- A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience.
Nice to Have
- Published or contributed to work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models (CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent).
- Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks.
- Exposure to inference optimization for edge or mobile hardware (TensorRT, ONNX, CoreML, or similar).
- Experience with petabyte-scale spatial data: point clouds, meshes, posed image collections, or geospatial indexing.
- Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems.
- Prior industry or research internship experience shipping or contributing to a production CV system.
Compensation & Benefits
The expected salary range for this role is $165,600 - $221,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
Location & Work Model
This role is based in our San Francisco, CA office on a hybrid schedule with a minimum of 3 days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Why Deliveroo?
We're building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We obsess about building the future of food, whilst using our network as a force for good. We're at the forefront of an industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers.
Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities.
What you'll do?
As a Software Engineer at Deliveroo, your individual work contributes to achieving goals in across your team. While you will work with your team and you may lead projects, some of your work will contribute outside of your direct remit. You will report to managers and group leads and together deliver the results.
Technical Execution:
You will improve code structure, have an impact on architecture, and review code of any scope produced by your team.
You'll aim to simplify the maintenance and operation of production systems, visibility, operational readiness, and health of your team's systems.
Collaboration & Leadership:
As well as leading from the front regarding technical execution, you'll build relationships with other engineering teams and, identify collaboration opportunities.
You'll own larger pieces of work, assist with design and technical / implementation choices and influence the roadmap within your team.
You will take an active role in the hiring process and conducting engineering interviews. This will also extend to the current team where you will support the personal growth of colleagues, encouraging efficiency in their roles.
Expectations:
We want to emphasise that we don't expect you to meet all of the below but would love you to have experience in some of these areas.
Take pride in readable, well-designed and well-tested software
3+ years of experience in building Android applications at scale
Kotlin and/or Java experience
Accomplished in scaling Android architecture
3+ years of experience with Android development tools like Android Studio
Working in a cross-functional team
Knowledge of the Android SDK and AndroidX
Interested in writing Kotlin
Workplace & Diversity
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer a wide range of benefits in areas including health, family, finance, community, convenience, growth and relocation.
We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing startups in an incredibly exciting space.
#LI-NE1
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Costa Mesa, United States; Santa Ana, United States
📍
Location:
Santa Ana / Costa Mesa, CA
🏢
Work Arrangement:
On-Site
🚀
Start Date:
TBD
💰
Compensation:
TBD — based on skills and experience
Important Screening Requirements
Must be a
U.S. Citizen
.
Must be able to obtain and maintain a
Top Secret / SCI (TS/SCI) security clearance
.
Associate degree or equivalent relevant experience.
5+ years of experience
in manufacturing, quality, or engineering-related roles.
Experience supporting
hardware development and quality management
in a manufacturing environment.
Ability to read and interpret
engineering drawings, work instructions, CAD, and wire diagrams
.
Experience using calibrated inspection equipment such as
calipers, micrometers, CMM, Faro arm, or OMM
.
Experience working within
AS9100, ISO 9001, IATF 16949, or a similar quality management system
.
Must be able to work
on-site in Santa Ana or Costa Mesa, CA
.
About the Role
We are seeking a
Quality Specialist – MRB & Nonconformance
to support manufacturing quality operations within an advanced aerospace and defense environment.
This role will manage the
Materials Review Board (MRB) process
and work closely with manufacturing, engineering, quality, inspection, warehouse, suppliers, and other cross-functional teams to resolve nonconforming materials and improve production quality.
The ideal candidate is hands-on, highly detail-oriented, and comfortable working directly within a manufacturing environment to identify issues, drive containment, support investigations, and improve quality processes.
What We’re Looking For
We’re looking for a hands-on quality professional who can take ownership of
MRB and nonconformance activities
while working directly with manufacturing and engineering teams.
The successful candidate will be comfortable investigating quality issues, coordinating containment and disposition activities, analyzing inspection and traceability data, and identifying opportunities to improve manufacturing quality and productivity.
Key Responsibilities
MRB & Nonconformance Management
Manage the site
Materials Review Board (MRB)
process.
Work closely with manufacturing operations to support resolution, containment, and improvement of nonconforming materials.
Review manufacturing work instructions and provide quality feedback.
Provide clarification and support
go/no-go decisions
for inspectors.
Lead containment activities for nonconforming items, including inspection and verification of affected parts.
Assist with root-cause investigations.
Coordinate internal triage with engineering teams to support nonconformance dispositions.
Track investigative actions and ensure required tasks are completed on time.
Ensure MRB data collection and entry are accurate and complete.
Communicate quality issues and process performance to key stakeholders.
Track and report
MRB metrics
on a weekly basis.
Inspection & Quality Operations
Execute vendor
Return Material Authorizations (RMAs)
in partnership with Warehouse and Purchasing teams.
Manage quality containment for materials, tooling, and inspection equipment associated with nonconformances.
Create inspection plans for incoming materials, in-process inspections, and end-of-line inspection activities under the direction of Product Quality Engineers.
Train technicians and inspectors on inspection plans and data-capture requirements.
Propose, develop, and implement quality assurance policies and procedures.
Perform internal audits of processes and procedures as directed by Quality Systems Engineering.
Data Analysis & Continuous Improvement
Identify and recommend continuous improvement projects focused on
productivity, quality, and process effectiveness
.
Analyze quality and traceability data to identify trends, inconsistencies, variation, and process issues.
Stay current with inspection technologies and techniques and recommend improvements to inspection processes.
Analyze inspection results and provide actionable feedback to production, manufacturing engineering, and quality engineering teams.
Required Qualifications
Associate degree or equivalent experience in a relevant field.
5+ years of experience
in manufacturing and/or quality or engineering-related roles.
Experience working in a manufacturing environment supporting
hardware development and quality management
.
Proficiency with
CAD software and inspection data management software
.
Experience using calibrated inspection equipment, including:
Calipers
Micrometers
CMM
Faro arm
OMM
Ability to read and interpret engineering drawings, wire diagrams, work instructions, and CAD.
Experience with investigative and inspection methods such as
X-ray inspection, digital characterization, and material certificates of compliance
.
Experience working within an
AS9100, ISO 9001, IATF 16949, or similar QMS environment
.
Experience with validation and testing of assemblies and components.
Experience communicating with suppliers and cross-functional teams.
Strong attention to detail and organizational skills.
Ability to work independently and collaboratively.
Preferred Qualifications
Technical or Associate degree in
Quality, Mechanical Engineering, Aerospace Engineering, or a related field
.
Direct experience conducting
First Article Inspection (FAI)
and preparing First Article Inspection Reports.
ASQ Certified Quality Engineer, Quality Improvement Associate
, or equivalent certification.
IPC-A-610 or IPC-A-620
certification.
Experience in
low-rate production manufacturing environments
.
Knowledge of
Geometric Dimensioning and Tolerancing (GD&T)
.
Experience inspecting electrical and electronic components, including
power supplies, PCBs, and wire harnesses
.
Experience with manufacturing systems and tools such as
Jira, MES, ERP, Teamcenter, and CAD
.
Experience auditing manufacturing processes and procedures.
Strong communication skills across engineering, manufacturing, quality, suppliers, and other cross-functional teams.
🔎 Ideal Candidate Profile
The strongest candidates will bring a combination of
hands-on manufacturing quality experience, MRB/nonconformance expertise, inspection knowledge, and strong problem-solving skills
. Experience with aerospace quality systems, FAI, GD&T, and electronic hardware inspection will be especially valuable.
Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
ABOUT THE ROLE
Teleport Cloud takes our traditionally open-source and enterprise access plane and provides a SaaS option for our customers to adopt.
As such, our team is building our production and software as a service infrastructure from scratch. We tackle the hard problems that allow our customers to trust us for secure and reliable access to their infrastructure.
Excellent security is table stakes; a security breach can compromise our customers' infrastructure. We must also balance security with maintaining productivity and building a compelling product offering for our customers.
Most of the code you will write will be written in Go. We strongly encourage you to explore our GitHub Repo https://github.com/gravitational to get a taste of what we are building.
Important information
- We require to be in-person in our Oakland, CA, office for the onboarding week.
- We conduct background checks.
WHAT YOU'LL DO
- Re-engineer the core teleport product to scale globally and optimize routing latency for teams distributed around the world
- Re-write portions of the core Teleport product to enable our goals for the cloud product
- Build out our monitoring and observability stack to alert us to production issues and minimize false positives so we can all get a good sleep at night
- Work on automation to tackle and eliminate the highest toil activities
- Execute on traditional operation challenges, such as patching, scaling, backup and restore, disaster recovery, and more
- Investigate the outages and incidents our customers experience with our product
- Participate in the on-call rotation to ensure 24/7/365 system uptime.
WHAT WE'RE LOOKING FOR
- Willingness to collaboratively work with Teleports’ engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md as part of the interview process.
- 8+ years of progressive experience in Software Engineering and/or SRE/DevOps roles.
- Strong experience in Linux systems, networking, containers, and troubleshooting.
- Have solid Go and production Kubernetes development experience.
- Technical leadership experience.
- Strong experience developing scripts, automation, submitting patches to the product codebase, or building tooling that incorporates AI agents into operational workflows.
- AWS Cloud experience is preferred, GCP experience is acceptable.
- Systems Observability tools: Prometheus, Grafana, Loki etc.
- Operate and support the observability platform to maintain visibility and reliability.
- Experience operate in a team where sound security choices are critical, and where reasoning about correctness and system invariants (e.g. formal or property-based methods) is valued.
- Intellectual curiosity and a willingness to master new technologies.
- Transparency, honesty, and a no-ego mindset.
- Excellent communication skills.
HOW WE HIRE
Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do.
For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout.
1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements.
2. Zoom meeting with the Hiring Manager or a Lead Engineer. They will walk you through the coding challenge and answer your questions.
3. Coding challenge collaboration. The day after your meeting with the Hiring Manager or Lead Engineer, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution.
4. If your challenge solution meets our bar, you'll receive an offer to join Teleport.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: New York, NY (HQ)
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
As the Solutions Consultant, Enterprise Team Manager at Ramp, you will lead and develop a high-performing team of Solutions Consultants supporting Enterprise prospects. You will set the operating rhythm for complex pre-sales work, coach the team on discovery, solution design, demos, technical deal strategy, and partner closely with Sales, Product, Engineering, Customer Success, Account Management to deliver a cohesive customer experience.
You will remain close to high-impact opportunities while scaling the team’s technical ownership financial fluency, and executive presence. This is a player-coach leadership role: you will improve how the team qualifies and advances complex opportunities, create repeatable practices and assets, and use customer insight to shape Ramp’s go-to-market and product priorities.
WHAT YOU'LL DO
- Lead, coach, and develop a team of Enterprise Solutions Consultants; set clear expectations, provide regular feedback, and support career growth.
- Establish a high-quality operating cadence for pipeline reviews, deal strategy, forecasting, staffing, and performance management.
- Partner with Enterprise Sales leadership to shape account strategy, qualify complex opportunities, and deploy the right solutions resources at the right moments.
- Coach the team to lead discovery, deliver tailored demos, and architect solutions that connect Ramp’s platform, financial workflows, ERP systems, and integrations to customer priorities.
- Engage directly in the most strategic or complex customer situations, including executive conversations, technical validation, RFPs, and escalations.
- Build scalable playbooks, technical assets, demo standards, and knowledge-sharing practices that improve quality and consistency across the team.
- Partner with Product, Engineering, Product Marketing, Customer Success, and Services to translate recurring customer needs into actionable feedback, roadmap context, and strong handoffs.
- Define and inspect team health metrics such as coverage, conversion, cycle efficiency, solution quality, customer outcomes, and talent development.
- Foster an inclusive, high-accountability culture grounded in customer empathy, strong collaboration, speed, and continuous improvement.
- Identify practical ways for the team to use AI to improve preparation, documentation, solutioning, and customer-facing work while maintaining quality and good judgment.
WHAT YOU NEED
- 8+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, Professional Services, or a related customer-facing technical role, including 3+ years of people management or demonstrated player-coach leadership.
- Proven success leading teams through complex enterprise sales cycles involving multiple stakeholders, technical requirements, and long decision processes.
- Strong understanding of enterprise financial operations, controllership priorities, and accounting workflows.
- Working fluency with enterprise systems and integrations, including ERP platforms such as NetSuite, Sage Intacct, or Microsoft Dynamics; APIs; SFTP; and adjacent HRIS, identity, and security systems.
- Demonstrated ability to coach others on discovery, solution design, executive storytelling, technical communication, and consultative selling.
- Strong operating judgment: able to prioritize limited resources, inspect pipeline health, make trade-offs, and drive execution in a fast-moving environment.
- Executive presence and ability to influence senior internal and external stakeholders by translating technical complexity into business value.
- Track record of building repeatable processes, assets, and team rituals that elevate performance beyond individual contributions.
- Experience building AI-assisted workflows for solutions, sales, or customer-facing teams.
- Excellent communication, organizational, and change-management skills.
NICE TO HAVE
- Experience supporting fintech, spend management, accounting automation, or other financial software products.
- Familiarity with government or public-sector selling.
- Familiarity with Python, Java, or SQL; data integration and ETL platforms; cloud infrastructure; or enterprise authentication and security protocols.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: 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 already serves thousands of organizations in industries where financial operations work differently: construction companies that manage spend by job and cost code, nonprofits that report by fund and grant, and public-sector organizations accountable for every taxpayer dollar.
We are hiring a Lead Product Marketing Manager, Verticals to turn those differences into a durable growth advantage.
You will own Ramp's vertical GTM operating model, beginning with Construction / A&E and Nonprofits / Public Sector. You will decide where Ramp should invest, become the resident expert on how finance works in those markets, influence the product roadmap, and build the cross-product narratives and motions that help Ramp win.
This is not a content-only, campaign-only, or sales-enablement role. You will own the full vertical business read: market choice, ICP, product readiness, positioning, pipeline, win rate, activation, adoption, attach, campaign performance, and the next product or GTM intervention.
WHAT YOU'LL DO
- Set the vertical portfolio strategy. Build the business cases, opportunity sizing, segmentation, and priority order that determine where Ramp invests and where it does not.
- Own the vertical business number. Define the scorecard for each priority vertical: pipeline, win rate, attach, workflow adoption, product activation, channel performance, and customer proof.
- Become the market expert. Understand the financial workflows, buying dynamics, regulatory requirements, technology ecosystems, and competitive landscape of each priority industry.
- Influence the product roadmap. Translate market evidence into clear product requirements and help Product distinguish table stakes from differentiators.
- Build industry-specific, cross-product narratives. Package Ramp's cards, expenses, accounts payable, procurement, banking, treasury, travel, and accounting automation around the jobs each vertical needs to get done.
- Own GTM strategy end to end. Define the ICP, audience, positioning, claims, proof, channel strategy, launch plan, sales motion, and adoption plan for each priority vertical.
- Lead market-facing programs. Represent Ramp in the industry through webinars, customer sessions, partner moments, field events, advisory groups, and executive conversations where domain credibility matters.
- Make Sales better at winning. Build workflow-based pitch narratives, sales plays, proof, competitive guidance, and demos that help sellers lead with the customer's industry problem instead of a list of Ramp products.
- Run the operating cadence. Bring Product, Growth, Sales, Marketing, Partnerships, and Finance into one readout: what is moving, what is stuck, what we learned, and what changes next.
- Build the customer and partner feedback loop. Develop trusted relationships with finance leaders, operators, ERP and implementation partners, associations, and sellers closest to the market.
- Create the verticalization playbook. Build a repeatable method for taking a vertical from market signal to product requirements, GTM package, measurable growth motion, and scaled investment.
WHAT YOU'LL NEED
- 7+ years of experience in B2B software marketing, product marketing, industry marketing, growth, sales strategy, or another strategic GTM function, including significant ownership of product or industry outcomes.
- Demonstrated experience building GTM strategy for a specific industry or workflow-heavy market. You should arrive with a strong point of view on verticalization.
- Deep familiarity with at least one of the following: Construction or A&E software, accounting and ERP workflows, nonprofits, public sector, procurement, accounts payable, or financial operations.
- A record of influencing product strategy using customer, competitive, market, and funnel evidence.
- Experience owning integrated B2B campaigns from audience definition and brief through execution, measurement, and iteration.
- Strong data literacy. You can interpret pipeline, conversion, win rate, attach, adoption, and channel performance and turn the findings into a decision.
- Exceptional written and verbal communication. You can produce a business case for executives, a product narrative for the market, and a sales play that works in a customer meeting.
- Proven ability to lead senior partners across Product, Growth, Sales, Partnerships, Communications, and Marketing without relying on formal authority.
- High agency and comfort with ambiguity. You build the first version, test it with customers, and improve it quickly.
- Fluency with AI tools as part of your everyday research, analysis, writing, and operating workflows.
NICE TO HAVE
- Experience at a vertical SaaS company serving construction, accounting, nonprofits, government, or another operationally complex industry.
- Direct experience with construction ERPs or accounting platforms such as Sage, Trimble, Acumatica, Deltek, NetSuite, QuickBooks, or Intacct.
- Experience marketing a multi-product platform rather than a single point solution.
- Existing relationships with finance leaders, industry operators, implementation partners, associations, or technology partners in a priority vertical.
- Experience building a new PMM or industry-marketing function from the ground up.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Romania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We are currently seeking a Senior Software Engineer to join our growing Consumer team. The Consumer team at Kraken focuses on building applications that expose Kraken's product offering to the mass market. Trying to onboard the next 100 million people to the benefits of crypto.
This role involves setting the technical direction for our "Consumer" applications — a suite of products aimed at offering the simplest way for our customers to interact with Kraken — and delivering the hardest parts of it yourself. We expect anyone applying for this role to have an extreme eye for detail, a passion for building genuinely world class user experiences, a "ship fast but don't ship shit" attitude, and the judgment to know which is which without being told.
The opportunity
- Own the architecture and delivery of customer-facing Rust backend services powering trading, payments, and crypto experiences — making the design calls on systems that will outlive the feature you built them for
- Take ambiguous, multi-quarter problems from "we think this matters" to shipped and measured, breaking them down so the rest of the team can move in parallel with you
- Own features end-to-end rather than stopping at the API/backend boundary, and raise the bar on what "end-to-end" means for everyone around you — customer experience, frontend impact, and the product problem behind what you're building
- Partner with product leadership to shape the roadmap for a product area, not just execute against it. You'll bring engineering insight that changes what gets built, and own the outcomes and metrics that follow
- Drive initiatives that cross team boundaries — Kraken's trading infrastructure, platform, and other product teams — building the relationships and technical alignment needed to land them
- Multiply the team: mentor mid-level engineers, review designs before code exists, unblock people quickly, and leave behind patterns and standards that make the next feature easier than the last
- Use AI extensively to amplify scope and speed, moving from manually writing code toward orchestrating AI and validating implementation — and help the team do the same, defining what good AI-assisted engineering looks like here
What you bring
- 6+ years of backend engineering experience, with deep Rust proficiency across network services, asynchronous code, and distributed systems design (RPC protocols, Kafka, event-driven architectures)
- A track record of owning systems, not just features. You've made architectural decisions in production, lived with the consequences, and can explain the tradeoffs you'd make differently now
- Product engineering mindset. You've shipped features from problem → implementation → launch → user impact, with deep understanding of customer experience and product metrics, and you've influenced what got built and what got cut
- Demonstrated impact through others: mentoring, design review, technical writing, or setting standards that changed how a team worked
- Experience driving work that spans teams or orgs, where the hard part was alignment and sequencing as much as the code
- AI-first development approach where AI is already meaningfully incorporated into your workflow; you actively use AI for coding, understanding unfamiliar codebases, crossing technical boundaries, and validating implementations
- Ownership mindset with collaborative spirit. You personally drive features end-to-end, work across backend/frontend boundaries, and operate outside technical silos
- Openness to how the engineering profession is evolving because of AI, prioritizing shipping valuable products over manual code writing
Nice to haves
- Full-stack experience including React/TypeScript or other frontend frameworks — valuable for demonstrating cross-boundary collaboration mindset
- Cryptocurrency or blockchain domain knowledge
- Experience building and scaling products at consumer-focused technology companies, ideally at meaningful user scale
- Experience introducing AI tooling or workflows to an engineering team
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Remote-Friendly (Travel Required) | Canada
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center.
Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness.
This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure.
Responsibilities
Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner.
You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment.
Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment
Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders
Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships
Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production
Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making
Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements
Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint
You may be a good fit if you
Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale. You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team.
Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties.
You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you. If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk.
In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success.
You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you.
In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed.
It's a bonus if you
Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems
Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects.
Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites.
Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
The People Team at Notion exists to help build a generational company - one that enables people to do their best and most meaningful work. Hiring exceptional talent, at the right time and with care, is central to that mission.
We’re looking for a Recruiting Coordinator to partner closely with Recruiters and Hiring Managers to create a thoughtful, well-run, and genuinely human candidate experience. This role sits at the center of our hiring process and plays an important role in how candidates experience Notion.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
CREATE A CANDIDATE EXPERIENCE THAT REFLECTS NOTION
You’ll be one of the first and most consistent touchpoints candidates have with Notion. From scheduling interviews to answering questions and resolving issues, you’ll help ensure every interaction feels organized, respectful, and intentional. You’ll collaborate closely with Recruiters and Hiring Managers to continually refine our processes—so candidates leave feeling excited about what we’re building, regardless of the outcome.
COORDINATE INTERVIEWS WITH CARE AND PRECISION
You’ll manage and schedule a high volume of interviews across primarily non-technical roles, balancing speed with attention to detail. You’ll anticipate needs, communicate clearly, and keep candidates and interviewers aligned - making the process feel smooth and predictable, even as things move quickly.
BUILD STRONG RECRUITING FOUNDATIONS
This role is designed for someone early in their recruiting career who wants to build durable fundamentals. Over time, you’ll gain exposure to how we plan, execute, and scale hiring at Notion. With support from the team, you could take on light sourcing work, process improvements, and additional ownership as your skills grow - creating a strong foundation for future growth in recruiting, operations, or people-focused roles.
SKILLS YOU'LL NEED TO BRING:
- 6–12 months of experience in recruiting coordination or interview scheduling, ideally in a high-volume environment
- Strong organizational and prioritization skills - you’re proactive, reliable, and thoughtful about details
- A steady, calm approach in fast-moving environments
- Ability to navigate ambiguity with optimism
- Clear, kind, and professional communication skills - you’ll represent Notion to a large and diverse group of candidates
- You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results
NICE TO HAVES:
- Experience supporting both technical and non-technical roles, including remote and in-person interview scheduling
- Experience with Ashby, Workday, Slack
- Experience in a high-growth or startup environment
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $85,000 - $95,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: United States
Location:
on-site, LC1 (OC21), Santa Ana / Costa Mesa, CA.
What you'll do:
· Manages the site Materials Review Board (MRB) process
· Be fully imbedded within manufacturing process to actively assist in providing resolution, containment, and improvement to nonconforming materials
· Review Manufacturing Work Instructions and provide feedback
· Support in providing clarification or go/no-go decisions to inspectors
· Lead and own the execution of containment of nonconforming items including inspecting to verify non-conforming parts
· Assist in the root cause analysis
· Manage internal triage with engineering teams to support nonconformance dispositions and ensure the investigative tasks are completed in a timely manner
· Ensure data collection and entry is accurate and complete for the MRB process
· Communicate the process performance and quality issues to key stakeholders to drive improvements
· Track and report out MRB metrics on a weekly basis
· Execute vendor return material authorization (RMA) with partnership between Warehouse and Buyers to ensure material leaves the MRB area for suppliers.
· Manage quality containment process for material, tooling, and inspection equipment that are involved in non-conformances impacting production capacity and capability.
· Create inspection plans for incoming material, in-process inspection steps, and end of line inspection, as per direction from product quality engineers
· Train technicians and inspectors to execute inspection plans and data capture in the process.
· Propose, develop and implement quality assurance policies and procedures and review with the product quality engineers
· Review and propose continuous improvement projects for productivity gains, quality improvements, and benefits to Client's quality policy.
· Perform internal audits on processes and procedures, as per direction from Quality Systems Engineer
· Deep dive into data and traceability investigations to identify trends, oddities, inconsistencies, and variation that impacts the effectiveness of processes, procedures, and product quality.
· Stay current with new inspection technologies and techniques and recommend improvements to the inspection process
Required Qualifications:
· Must be a US citizen; must be able to obtain and hold a TS/SCI.
· Associate degree or equivalent in a relevant fields, or equivalent experience in lieu of education
· 5+ years of experience in manufacturing and/or a quality/engineering related role
· Experience in a manufacturing environment supporting HW development and quality management
· Proficiency with computer-aided design (CAD) software and inspection data management software.
· Ability to work independently and as part of a team.
· Attention to detail and strong organizational skills.
· Experience with Calibrated equipment (calipers, micrometers, CMM, Faro arm, OMM, etc.)
· Experience reading and interpreting engineering drawings (wire diagrams, work instructions, CAD)
· Analyze inspection results and provide feedback to production, manufacturing engineering, and quality engineering departments.
· Experience using investigative equipment such as x-ray inspection, digital characterization, material certificate of compliance, etc.
· Experience in a facility with AS9100, ISO9001, IATF 16949 or similar QMS standard
· Experience with validation and testing assemblies and their components
· Experience with communicating with suppliers and cross functional teams
Preferred Qualifications:
· Technical or Associates degree in related quality/mechanical/aerospace engineering field
· Direct experience conducting First Article Inspection and Report for internal manufacturing
· ASQ Certified Quality Engineer, Quality Improvement Associate, or equivalent. IPC-A-610 or IPC-A-620 Certification
· Existing work experience is low rate production manufacturing environment
· Knowledge & understanding of dimensioning and tolerancing as per Geometric Dimensioning and Tolerancing (GD&T)
· Experience with inspection of Electrical and Electronic Components (Power Supplies, PCBs, wire-harnesses)
· Experience with Manufacturing processes and their related systems (Jira, MES, ERP, Teamcenter, CAD)
· Experience with auditing processes and procedures in a manufacturing environment
· Detail oriented self starter with minimal oversight - strong ability to communicate with different cross functional teams
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.
About the Role
We're looking for an Applied AI Architect to join our Beneficial Deployments, Life Sciences team, focused on helping scientists everywhere get the most from Claude, especially Claude Science. You'll run enablements, workshops and hackathons, build demos that show what frontier models can do for the field, and grow a community of scientists building with Claude. You'll also scale scientific enablement inside Anthropic, so our Applied AI and customer teams can support scientists without you in the room.
Responsibilities
Be the DRI for scientific enablement: decide what to run, build the materials, deliver them, and measure whether research teams reach daily use of Claude.
Lead our programs for activating scientists at scale, such as
LSVP
and Claude for Researchers: set the goals, design the program and run it.
Build demos, notebooks and tutorials that show scientists what frontier models can do in their own work, and be an active voice where scientists share tools online (X, LinkedIn, etc.).
Scale scientific enablement inside Anthropic: train our Applied AI and Customer Success teams, and build playbooks they can run without you.
Build and lead a scientist community around Claude, and be its ambassador (and support ambassador programs), from small meetups to large conferences.
Be the voice of scientists inside Anthropic: turn what you hear into concrete asks and see them through to launch, and partner with Marketing and Comms so campaigns and content reach the scientific community.
You Might Be a Good Fit If You Have
Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break.
Real credibility as a scientist: hands-on experience doing science in academic labs, biotechs, pharma or research institutes, ideally as a user of the kind of tools you'll help scientists adopt. Experience building or running programs for scientific communities is a plus.
A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons.
Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists.
Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code.
Clear written and spoken communication: talks, tutorials and docs that scientists find useful.
A track record of taking programs or products from idea to results: you set the direction, did the work and were accountable for the outcome, often with no playbook.
Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission.
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:
$275,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
Who we want
This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a Provider Sales VP, you’ll be embedded in Provider Partnerships and report directly to the SVP of Provider.
You will own Garner's provider segment at its most senior level, as a quota-carrying seller responsible for the marquee health-system and enterprise relationships that define this category for us. You will help set the segment's go-to-market approach, from sub-segments to pursue, to lead generation, to closing strategy. This is a seat for someone who has built a selling book from limited infrastructure before and wants to do it again with a genuinely differentiated product and dataset behind them.
What you will do
Own the provider segment end to end, from go-to-market strategy through close, carrying an individual quota against your assigned budget.
Land and expand marquee health-system and enterprise logos, opening executive-level doors up to health-system CEO.
Run a data-driven sales motion at the most senior level: connect Garner's data to a buyer's top strategic priorities.
Lead complex, committee-driven negotiations to close, holding momentum and goodwill across long cycles and multiple veto-holding approvers.
Establish the repeatable playbook the segment adopts: messaging, target-account strategy, and objection handling grounded in healthcare economics and provider risk.
Partner with Product, Sales leadership, and Account Management, and build the feedback loop that turns market signal into roadmap and pricing change.
Build full fluency across Garner's product suite and match the right product angle to each buyer.
What we're looking for
8 or more years in fast paced selling environment carrying and consistently exceeding individual quote
Experience owning a new-market motion end to end: building a segment from limited infrastructure and landing marquee logos
Experience selling into into hospitals, health systems, or other healthcare provider organizations is preferred; if not, experience selling in other complex B2B SaaS environments
A track record of closing through multi-stakeholder, committee-driven buying processes, where clinical, analytics, finance, legal, and administrative approvers each hold an effective veto.
Command of the room with senior buyers up to the CEO: you build trust fast, go head to head on strategy, and secure buy-in for a high-consideration purchase.
Data fluency built by repeatedly entering new or ambiguous markets and learning the methodology deeply.
Repeatable plays for reviving stalled pipeline, applied across a book rather than one deal at a time.
Comfort selling while product, pricing, and positioning are still evolving.
The instinct to build an internal operating rhythm: who to pull in when, plus a feedback loop into product and pricing.
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics.
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The total compensation range (inclusive of base and commission) for this position is $325,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Director of Global Trade Marketing to lead our global trade marketing organization and accelerate the growth and impact of WHOOP across our rapidly expanding retail footprint. This leader will oversee trade marketing teams across global markets, establishing the strategy, operating rhythms, and cross-functional alignment required to deliver exceptional retail experiences and drive consumer demand around the world.
At the center of this role is the ability to build strong relationships and drive alignment across the organization. You will serve as a critical connector between our Trade Marketing teams and the broader WHOOP organization, partnering closely with Sales, Brand, Creative, Media, Product Marketing, Visual Merchandising, Operations, Analytics, and regional leadership to ensure our teams are positioned for success in market. You will develop a high-performing global team, bring clarity to priorities in a fast-moving environment, and translate the broader WHOOP brand and commercial strategy into locally relevant retail experiences that drive awareness, conversion, and sell-through.
RESPONSIBILITIES:
- Lead, develop, and inspire the global Trade Marketing organization, creating clear priorities, strong operating rhythms, and a culture of collaboration, accountability, and high performance.
- Build strong cross-functional partnerships across WHOOP, aligning Brand, Creative, Media, Sales, Operations, Visual Merchandising, Product Marketing, Analytics, and regional stakeholders around retail priorities, launches, campaigns, and key commercial moments. Proactively identify dependencies, remove barriers, and ensure teams have the resources and organizational support needed to execute successfully.
- Develop and own the global trade marketing strategy, translating company and brand priorities into scalable plans across retail media, digital and physical retail experiences, product launches, promotions, training, and key commercial moments.
- Partner with Trade Marketing and Sales leaders across global markets to build strategic plans for priority retailers, ensuring marketing investment, creative, inventory, training, fixtures, and operational readiness come together to drive measurable awareness, traffic, conversion, and sell-through.
- Establish a consistent global approach to planning, budgeting, measurement, and performance optimization, using retailer and consumer insights to prioritize investments, identify incremental growth opportunities, and continuously improve return on trade marketing spend.
- Build scalable tools, processes, and ways of working that allow teams to move quickly while maintaining a consistent WHOOP experience globally, balancing global standards with the localization required to win with consumers and retail partners in individual markets.
QUALIFICATIONS:
- 10+ years of experience in global trade marketing, shopper marketing, retail marketing, omnichannel marketing, or a related discipline, including meaningful experience leading teams in a global or multi-market environment.
- Proven people leader with experience building, developing, and empowering high-performing teams across global markets.
- Exceptional relationship-building and influencing skills, with a demonstrated ability to bring together diverse cross-functional stakeholders, create alignment without relying solely on authority, and move complex initiatives forward.
- Strong understanding of the global retail and omnichannel landscape, with experience developing marketing strategies that connect digital retail, physical retail, retail media, product launches, promotions, and brand activity.
- Strategic and commercially minded, with the ability to translate company objectives into clear priorities for teams while remaining close enough to execution to identify barriers and unblock the organization.
- Strong analytical and financial acumen, with experience managing significant marketing budgets, evaluating performance, and using consumer, retailer, and sales insights to make investment and prioritization decisions.
- Comfortable operating in a fast-growing, highly cross-functional environment where priorities evolve quickly and success requires both building scalable processes and solving immediate business challenges.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $155,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role:
We are looking for an IT Systems Engineer to build and secure the identity and access management (IAM) and mobile device management (MDM) systems for employees who build agents and internal tools every day. You will design access and device policies that let them ship quickly without exposing company data, and automate the work with scripts, API integrations, and AI tooling alongside our IT and Security engineers. This is a hybrid role based in San Francisco, New York City, or Austin, with three days a week in the office.
What you’ll do:
Configure Okta, including application integrations, single sign-on (SSO), multi-factor authentication (MFA), groups, access policies, and automated provisioning
Build onboarding, role-change, and offboarding automation that keeps employee access current
Configure and maintain MDM for device enrollment, software deployment, patching, encryption, and compliance controls
Build scripts, API integrations, and automation across Okta, MDM, Google Workspace, Slack, and IT service management systems, using AI to write and troubleshoot code and reviewing its output before it ships
Partner with Security on least-privilege access that lets employees connect agents and internal tools to company systems safely, along with device security standards and access reviews, and serve as the escalation point for complex identity and device issues
What you need:
7+ years of hands-on IT systems engineering experience, with deep expertise in either IAM or MDM and working knowledge of the other
Administered Okta and integrated applications using Security Assertion Markup Language (SAML), OpenID Connect (OIDC), and System for Cross-domain Identity Management (SCIM)
Configured and operated an MDM platform such as Jamf, Kandji/Iru, or Intune
Wrote automation in Python or Bash against APIs, and used AI to build and troubleshoot it, reviewing generated code before deploying
Bonus if you:
Managed Okta or other IT systems as code with Terraform, including version-controlled configurations, code review, and configuration drift management
Supported AWS identity and access configurations
Built or hosted a project on Vercel
Benefits:
Competitive salary and meaningful equity
Comprehensive health, dental, and vision coverage
Generous paid time off and parental leave
Professional development stipend
Daily lunch and commuter benefits (SF office)
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $180,000.00 - $288,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $185,000–$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Norwalk, Connecticut, United States
Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies.
The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
Description
Graham is seeking an early-career developer to join our Quantitative Trading and Research Operations team, which sits within our broader Quantitative Strategies department. The successful candidate will support the Quantitative Strategies department by developing, maintaining, and refactoring code used in research and trading, with a particular focus on improving the reliability and maintainability of existing programs. This individual will work closely with researchers and follow established development and code review processes, including regular interaction with the firm’s Quality Assurance Committee. The ideal candidate enjoys hands-on development, troubleshooting, and improving existing systems within an evolving production environment.
Responsibilities
Partner with the Quantitative Strategies department to develop, maintain, and improve code supporting research and trading activities
Review, refactor, and update legacy programs to meet established coding standards and improve reliability, maintainability, and computational performance
Provide ongoing maintenance and support for both existing systems and newly developed tools
Develop and maintain test cases to validate code changes and help prevent errors and system failures
Follow established development and code review processes, working regularly with the Quality Assurance Committee and incorporating feedback from senior leaders across Technology and Data
Analyze system financial and computational performance and execute trades
Support engineering initiatives related to trading system implementation, computational resource utilization, build and deployment processes, containerization, and evaluation of cloud computing
Requirements
Bachelor's degree in computer science or a related field
Strong Python skills
Strong program design fundamentals and refactoring experience
Knowledge of CI/CD process
Comfortable working in the command line on Unix
Comfortable using version control, such as Git
General familiarity with PowerShell
Familiarity with SQL and other enterprise database structures
Excellent interpersonal and communication skills
Coursework in cybersecurity is a plus
Familiarity with cloud compute and general infrastructure design is a plus
Knowledge of R and MATLAB and familiarity with writing test cases is a plus
Ability to work independently and collaboratively in a dynamic, fast-paced environment
This role requires commuting into our Rowayton, CT office Mondays through Fridays.
Base Salary Range
The anticipated salary range for this position is $90,000 to $125,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications. This wage range may be modified in the future.
In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.
Notes:
No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.
Other
Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan. All employees also receive paid vacation and sick leave. Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods. Benefits are subject to change and may differ for non-U.S. roles.
pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
УдалённоRemote - Canada
ГибридSan Francisco, CA
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We offer a wide range of benefits in areas including health, family, finance, community, convenience, growth and relocation; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Costa Mesa, United States; Santa Ana, United States
УдалённоUnited States (Remote)
ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
ГибридleadNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
УдалённоseniorRomania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоГеография найма не уточнена
ГибридSan Francisco, California; New York, New York