Location:
Africa / Flexible
Scope:
International
Employment Type:
Full-Time
About ESS
ESS is an international environmental, social, health, and sustainability consultancy supporting clients across a range of sectors and markets. Our work includes
mining, energy, infrastructure, agriculture, industrial development, ESG, sustainability, and environmental and social advisory services
.
We are looking for a
Senior Marketing Specialist
to lead and develop ESS's marketing strategy and strengthen the company's positioning across its markets.
The successful candidate will be
based in Africa
, with a strong understanding of African markets and business environments, while having the ability to develop marketing strategies, campaigns, and communications for an
international audience
.
This is a strategic role for an experienced marketing professional who can combine
marketing expertise, commercial thinking, strong communication skills, and an understanding of technical consulting services
.
Key Responsibilities
Marketing Strategy & Leadership
Develop and implement ESS's overall marketing strategy in alignment with the company's growth and business development objectives.
Establish marketing priorities, KPIs, budgets, and performance measures.
Develop targeted marketing strategies for different markets, sectors, services, and client audiences.
Identify market trends, emerging opportunities, and areas for business growth.
Strengthen ESS's positioning within the environmental, social, ESG, sustainability, and technical consulting markets.
Provide strategic marketing advice to senior management and business development teams.
Brand & Market Positioning
Lead and strengthen ESS's brand identity, messaging, and market positioning.
Develop clear and compelling value propositions for different markets and client segments.
Ensure consistency of ESS's brand across international communications and platforms.
Lead the development of corporate profiles, capability statements, case studies, presentations, brochures, and other marketing materials.
Position ESS as a credible and distinctive international consultancy within its target sectors.
Digital Marketing & Content
Lead ESS's digital marketing and communications strategy.
Develop and oversee content for
LinkedIn, website, newsletters, campaigns, and other digital platforms
.
Develop thought leadership content around
ESG, sustainability, environmental and social management, mining, energy, and infrastructure
.
Translate complex technical services and project experience into clear, engaging, and commercially relevant content.
Monitor digital performance, audience engagement, and lead generation, and use analytics to improve results.
Business Development & Market Intelligence
Work closely with senior management and business development teams to support lead generation and client acquisition.
Conduct market research and competitive analysis across priority markets.
Identify new sectors, markets, partnerships, and client opportunities.
Develop targeted account-based marketing and sector-specific campaigns.
Support conferences, industry events, webinars, and strategic networking activities.
Contribute to proposals, tenders, prequalification submissions, and other business development materials.
Africa Market Knowledge
Leverage a strong understanding of
African markets, industries, institutions, and business environments
to support ESS's regional growth.
Identify market opportunities and emerging trends across African countries.
Develop marketing approaches that are relevant to African clients while maintaining ESS's international positioning.
Build relationships with relevant professional networks, industry associations, media, and strategic stakeholders.
Collaboration & Management
Coordinate marketing activities across ESS teams and markets.
Work closely with technical specialists to develop accurate and compelling marketing content.
Manage external marketing agencies, designers, consultants, and other suppliers when required.
Establish efficient marketing processes, standards, and reporting.
Support and guide other marketing and communications resources within ESS.
Qualifications & Experience
Master's degree in
Marketing, Communications, Business, Public Relations
, or a related discipline.
10+ years of progressive marketing experience
, including significant experience in a strategic or leadership capacity.
Proven experience developing and implementing
multi-market or international marketing strategies
.
Experience in
professional services, consulting, engineering, environmental services, ESG, sustainability, mining, energy, infrastructure, or another technical B2B environment
is highly desirable.
Experience within the environmental, ESG, sustainability, or social consulting sector is a strong advantage.
Experience marketing technical or professional consultancy services is particularly desirable.
Strong understanding of
African markets and business environments
.
International exposure and experience working with international clients or organisations is an advantage.
Languages
Fluent English and French required.
Excellent written and verbal communication skills in both languages.
Additional languages are an advantage.
Key Competencies
Strong strategic and commercial mindset.
Excellent understanding of B2B and professional-services marketing.
Strong brand, digital marketing, content, and communications expertise.
Ability to translate complex technical information into compelling commercial messaging.
Strong market research and analytical skills.
Excellent stakeholder management and influencing abilities.
Data-driven approach to marketing performance.
Strong project management and organisational skills.
Creative, proactive, and results-oriented.
Ability to work independently while collaborating effectively with senior leadership and multidisciplinary teams.
Strong understanding of different cultural and business environments.
What ESS Offers
A strategic marketing leadership position within an international consultancy.
The opportunity to shape ESS's
international brand, positioning, and growth strategy
.
Exposure to major sectors including
environmental and social consulting, ESG, mining, energy, infrastructure, and sustainability
.
Collaboration with international technical, commercial, and business development teams.
Significant autonomy to develop and implement new marketing initiatives.
A dynamic, multicultural working environment with opportunities for professional growth.
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
Ramp's Brand team ships a high volume of ambitious creative across product launches, growth, events, customer marketing, and brand awareness. As the work has scaled, so has the need for a strong operating system around it.
We're hiring a Director of Brand Operations to build that operating system: the processes, milestones, and cross-functional coordination that let a world-class creative team do its best work and ship fast. This is an operations role focused on how the work gets done; it is not a traditional production-management role.
You'll be the operator who protects creatives from organizational swirl, sets clear ways of working, and fixes cross-functional breakdowns upstream so great ideas reach the world quickly.
WHAT YOU’LL DO
- Own and build the operating system for how Brand's creative gets produced.
- Build the brand operating system: the processes, milestones, and ways of working that turn creative direction into shipped work.
- Diagnose and fix bottlenecks across functions. Find where work stalls, trace it to the source, and remove the limiting factor wherever it lives.
- Protect creatives from org swirl by absorbing cross-functional complexity so the team stays focused on the work.
- Automate with AI: use AI to streamline how work flows and cut manual overhead across the operation (intake, triage, status, reporting, handoffs).
- Partner with the creative leads so operations and creative are complementary, freeing creative leads to focus on creative.
- Be Brand's ambassador to the rest of Ramp: scope incoming work and pull Brand into projects early, at the right time.
WHAT YOU NEED
- Exceptional organization: you hold 20+ live workstreams and keep everyone on track
- A cross-functional root-cause instinct: you can walk into a tangled, multi-team workflow, explain why it's slow, and fix it. This is the most important capability for the role.
- A track record of building systems and automation: you've taken an operation from messy to repeatable and use tooling and AI to compress cycle time.
- A metrics-driven approach: you instrument delivery so progress is clear and provable.
- Hands-on, lean leadership: you lift both the operation and the people in it.
- A bias for better ways of working: you remove limiting factors and speed up delivery without adding process for its own sake.
- An operator-first profile: we care more about someone who can diagnose and fix how work flows than about a creative, production, or marketing pedigree. Strong candidates come from product ops, biz ops, GTM ops, finance ops, or chief-of-staff backgrounds.
NICE TO HAVES
- Experience scaling an in-house creative or content studio in a high-growth environment.
- Experience building AI-assisted operational workflows.
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: United States, San Diego, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
Staff Software Engineer – Data
Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale.
The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity.
We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform.
Responsibilities
·
Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation.
·
Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
·
Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management.
·
Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads.
·
Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms.
·
Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity.
·
Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability.
·
Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership.
·
Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.
·
Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence.
·
Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time
·
Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency.
Requirements
·
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
·
8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
·
Strong proficiency in
Python
, with experience building production-grade distributed systems and data processing applications. Experience with
Scala
is beneficial for supporting and evolving existing platform components.
·
Hands-on expertise designing and operating large-scale stream processing applications using
Apache Flink
,
Apache Spark Structured Streaming
, or equivalent distributed streaming technologies.
·
Production experience designing, operating, and optimizing distributed analytics platforms using
ClickHouse
,
Apache Druid
, or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale.
·
Experience building and consuming event-driven data pipelines using
AWS MSK
,
Apache Kafka
, or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications.
·
Experience applying
AI/ML techniques and modern AI tooling
to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity.
·
Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost.
·
Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams.
Nice to Have
·
Experience with
Databricks
,
Apache Iceberg
, or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms.
·
Experience building or operating
multi-tenant, self-service data platforms
supporting multiple engineering organizations.
·
Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.
Your First 90 Days
30 Days:
Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across the Data Platform organization.
60 Days:
Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives.
90 Days:
Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution.
In 90 days, you will have a detailed understanding of the
Real-Time Analytics Platform
and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$198,200
—
$297,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
The Marketing Director, Product Innovation is a product management leader that owns the vision, strategy, and roadmap for PlayStation's global marketing technology products, building platforms that empower thousands of marketers and reach hundreds of millions of players worldwide. You will lead forward-looking, AI-powered marketing capabilities, creating scalable solutions that enable marketers worldwide to deliver better business outcomes. This role sits at the intersection of marketing operations, data science, analytics, and technology -- increasing efficiency, accelerating execution, and amplifying creativity.
We are seeking an experienced Product Manager who is a development partner with Engineering, Data Science and Marketing executives to build marketing products that operate at a global scale.
Key Responsibilities:
Product Management
Partner with Engineering leaders to define platform architecture, prioritize investments, balance technical debt against innovation, and deliver scalable products that transform global marketing capabilities.
Define Marketing Technology product vision informed by customer research, market trends, and internal user insights.
Conduct product discovery with Marketing teams globally.
Develop a prioritized roadmap based on customer value, technical feasibility, business impact, and other considerations.
Launch new platform capabilities and measure adoption, engagement, and business outcomes.
Drive continuous experimentation using AI-enabled workflows.
Assess opportunities for assistive AI and agentic marketing use cases, manage pilot execution, and ensure scalability.
Marketing Innovation
Bridge business requirements from Marketing to Engineering to create technology solutions.
Own the process, the outcomes, and the products.
Thought leader and strategic partner to Media, Creative, Brand Marketing, Product Marketing and Business Analytics teams.
Demonstrate a solutions-oriented mindset, troubleshooting challenges and adapting plans to meet evolving business and market needs.
Balance global alignment with appropriate local and product-level flexibility, reinforcing a one SIE mindset while respecting market and portfolio needs.
Strategy & Transformation
Lead high-priority initiatives, aligning focus, managing execution, driving business outcomes, and measuring success.
Conduct market and feasibility assessments of new tools, trends, and advancements in marketing technology and data enablement.
Shape short- and long-term roadmaps, driving long-term scalability while balancing day-to-day improvements.
Establish alignment across SIE teams that own or influence the marketing technology stack, driving a single, cohesive product vision and roadmap.
Partner with marketing leaders to redesign marketing workflows, processes, decision rights, and operating models.
Define measures of success and post-launch KPI tracking.
Skills and Qualifications:
Bachelor’s degree or equivalent in software engineering, computer science, engineering management or a related field. Master’s degree or equivalent in business, marketing, or related field preferred.
12+ years of product management experience, within marketing solutions or a high-growth technology environment.
Built and launched enterprise SaaS products or internal platforms.
Owned multi-year product roadmaps.
Led cross-functional product teams across Engineering, Design, Data Science, and Business.
Experience with AI-powered products, ML platforms, or automation.
Strong understanding of experimentation, analytics, APIs, and platform thinking.
Experience scaling products used globally.
Experience in navigating change and driving global teams through transformation.
Experience influencing senior leadership and leading cross-functional teams across multiple regions.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$234,100
—
$351,100 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$163,920
—
$196,712 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$139,869
—
$167,849.50 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
Come lead the Identity & Access Management Platform team (IAM Platform) — the foundational layer that decides who can see and do what across all of ClickUp. This team owns the authorization engine, the permission and role model, authentication (SSO, MFA, SCIM, OIDC), sharing primitives, audit logs, and the core data model and APIs that define how customers' work is organized and nested across the product — the foundation every other part of ClickUp is built on. It is backend-heavy, high-blast-radius work. As we move upmarket, this is some of the most important and security-sensitive work we do — enterprises decide whether they can trust us based on how precise, predictable, auditable, and manageable our access controls are.
We're looking for a Senior Engineering Manager to lead and grow this team. Your mandate is twofold: deliver an enterprise-grade access management platform — extensible, configuration-driven, correct and auditable by design — and build the team that will carry it, hiring and developing engineers as we invest heavily in enterprise. You'll raise the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keep them there, partnering with a Staff engineer on technical direction while you own delivery, people, and priorities.
Just as important: you'll run this team the way ClickUp runs — AI-native. We structure work so AI agents can read it, route it, roll it up, and report on it, so a small team amplified by agents operates at a different scale. There are no status-reporting meetings; agents keep status, progress, and health current from real signals, and reporting is self-serve. We want a manager who has already used AI flows to cut noise, eliminate busywork, and streamline how a team operates — and who will push that further.
RESPONSIBILITIES:
- Lead, grow, and develop the IAM Platform engineering team — own hiring, mentorship, performance, and career growth, and scale the team thoughtfully as we expand our enterprise investment.
- Own the delivery of ClickUp's enterprise-grade access management platform: the authorization engine and permission/role model, authentication (SSO via SAML/OIDC and social/Okta/Entra, MFA/2FA, session and token management), SCIM provisioning, sharing and access-control primitives, audit logs, OAuth and API token management, and the core data model and APIs that define how customers' work is organized across the product.
- Set the roadmap and priorities in partnership with product, security, and engineering leadership — elevating the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keeping them there.
- Run an AI-native team: structure the work so agents can route, scope, and report on it; use AI flows to remove status meetings and manual reporting, reduce noise, and let a small team operate at scale. Continuously raise the bar on how the team leverages AI end-to-end.
- Partner with enterprise customers, GTM, and security teams on access-control and identity requirements, and represent ClickUp credibly in enterprise security and architecture reviews.
- Own operational excellence for high-blast-radius services: a healthy on-call rotation, safe migrations, reliability, and a clear security boundary where the server remains the source of truth.
- Uphold a high engineering bar — design and code review, testing, performance, and security-by-design — for the most security-critical area of the product.
- Collaborate across backend, frontend, platform, product, design, and infosec to ship coherent access experiences on top of the platform.
REQUIREMENTS:
- 8+ years of professional software engineering experience building production SaaS, with 3+ years managing engineering teams (including senior engineers).
- Identity and access management experience is required — hands-on background delivering authentication and authorization systems: OAuth 2.0, OIDC, SAML, JWTs, MFA/2FA, enterprise SSO, SCIM, and RBAC/permission and role models, ideally in a multi-tenant environment.
- A proven ability to use AI tools and agentic workflows to reduce noise and streamline how a team works — automating reporting, triage, and status, and freeing engineers to focus on building.
- Experience delivering enterprise-grade SaaS at scale, and working directly with enterprise customers and their security, compliance, and administrative requirements.
- A track record of building and scaling high-performing engineering teams — hiring, growing, and retaining strong engineers.
- Enough technical depth to lead architecture discussions, make sound trade-offs on high-blast-radius systems, and hold a high bar without being the sole implementer.
- A security-conscious mindset: you design access control precisely, treat the server as the source of truth, and think about correctness, auditability, and blast radius by default.
- Excellent communication and cross-functional collaboration skills across engineering, product, design, and security.
- Daily fluency with AI tools in your own workflow.
PREFERRED QUALIFICATIONS:
- Experience owning IAM or authorization at scale — millions of users, multi-tenant, or workspace-scoped identity and token models.
- Experience designing configuration-driven or policy-based access models (RBAC/ABAC), authorization engines, or Zero Trust identity.
- Experience with SCIM provisioning, audit logging, and enterprise compliance frameworks (SOC 2, ISO 27001, and similar).
- A track record of moving a product upmarket and winning demanding enterprise customers.
- Experience introducing AI-native or agent-driven operating models to an engineering team.
- Experience managing engineers across backend and frontend, or managing other leads.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
As a
Staff Software Engineer
, you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship.
Technologies You'll Use
Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history
Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
Coach and mentor engineers, demonstrably improving the quality of code across the team
Write technical specs, document common components, and keep the team accountable for necessary project documentation
Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
Participate periodically in the on-call rotation
Skills We're Looking For
8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
Deep expertise designing and owning subsystems in distributed, cloud-based systems
Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience architecting metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$162,157.50
—
$198,877.25 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
As a
Staff Software Engineer
, you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship.
This is a full-time, remote position. We do expect the successful candidate to come to the Denver, CA office from time to time.
Technologies You'll Use
Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history
Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
Coach and mentor engineers, demonstrably improving the quality of code across the team
Write technical specs, document common components, and keep the team accountable for necessary project documentation
Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
Participate periodically in the on-call rotation
Skills We're Looking For
8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
Deep expertise designing and owning subsystems in distributed, cloud-based systems
Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience architecting metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$183,711
—
$229,638.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
T
ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.
What You'll Do
Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins
Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)
Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture
Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets
Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate
Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams
Ensure engineering processes (e.g. FDLC) are implemented and consistently followed
Delegate effectively and build autonomy and a positive, high-trust culture within the team
Address performance issues and conflict promptly and fairly
Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
Experience managing and growing a software engineering team(ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle
Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment
Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance
Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs
Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates
Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed
Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team
Bonus Skills
Experience building or operating metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$186,701
—
$233,376 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots.
You will design and train reinforcement learning policies that enable dynamic locomotion and loco-manipulation behaviors on real robots. Your work will focus on building scalable training pipelines, designing reward functions and environments, and improving sim-to-real transfer for reliable deployment on hardware.
You will work closely with controls and robotics engineers to integrate learned policies into the robot control stack, ensuring stable and robust behavior in real-world conditions.
Development will involve continuous iteration between large-scale simulation and hardware experiments.
The problems you will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning.
WHAT YOU’LL DO
- Design and train reinforcement learning policies for humanoid robot control.
- Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo).
- Design reward functions, observation spaces, and curricula for complex behaviors.
- Improve robustness and sim-to-real transfer of learned policies.
- Deploy and evaluate policies on real robotic systems.
- Integrate policies into the control stack.
WHAT WE'RE LOOKING FOR
- MS or PhD in Robotics, Machine Learning, Computer Science, or related field.
- Strong experience with reinforcement learning (e.g., PPO, SAC, offline RL).
- Experience applying RL to robotics or physical systems.
- Experience deploying learned policies on real robotic systems.
- Experience with physics-based simulation environments (e.g., Isaac Lab, MuJoCo).
- Strong programming skills in Python and/or C++.
NICE TO HAVE:
- Experience with RL for locomotion or legged robots.
- Experience with sim-to-real transfer.
- Familiarity with robot dynamics, control, or whole-body control.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: New York City Metropolitan Area; Connecticut; New Jersey; New York, New York; San Francisco Bay Area, California
Workplace: remote
Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.
We are looking for a Business Development & Partner Manager to own two complementary revenue motions simultaneously: converting partner-sourced leads into Provectus clients, and building a self-sourced pipeline from scratch.
The first motion sits at the heart of our Anthropic and AWS partnership. They share qualified enterprise leads with us. Your job is to receive those leads, run the full sales cycle, and close them — making Provectus the AI implementation partner of choice for Anthropic's enterprise accounts. Beyond converting inbound leads, you will actively grow the relationship: joint pipeline reviews, co-marketing, partner tier maintenance, and expanding the number of Anthropic field reps who think of Provectus first when they have an implementation need.
The second motion is yours to own. You will prospect independently, build relationships, and close deals with enterprise accounts in Financial Services and Life Sciences without a partner assist — operating as a true full-cycle business developer.
Responsibilities:
Partner motion — Anthropic channel
Act as Provectus's primary point of contact with Anthropic's partner and field sales teams.
Receive, qualify, and own enterprise leads shared by Anthropic; act as the primary point of contact from first conversation to signed SOW.
Identify new co-sell and joint go-to-market opportunities within Anthropic's product and field motion.
Maintain a healthy joint pipeline with Anthropic's partner and sales teams; lead quarterly business reviews and co-sell planning sessions.
Translate Anthropic's product roadmap and partnership incentives into compelling client propositions.
Represent Provectus at Anthropic partner events, executive briefings, and ecosystem calls.
Drive partner tier maintenance and upgrade — certifications, co-marketing activations, case study production.
New logo hunting
Prospect independently into enterprise accounts in target verticals (FSI, Life Sciences) using outbound, networking, events, and referrals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Build and maintain a personal network of enterprise decision-makers and economic buyers on the East Coast.
Cross-functional collaboration
Work with Provectus delivery leads and Architects to scope proposals accurately — you are selling consulting engagements, not software licenses.
Feed market intelligence — buyer objections, competitive dynamics, vertical patterns — back to leadership and marketing.
What You Need to Succeed:
2–3 years of experience in business development, partner/alliance management — with at least part of that in a consulting firm.
Proven track record managing an Anthropic, AWS, GCP, Azure or other partner relationship — co-selling, joint pipeline, MDF, or co-marketing.
Experience converting partner-sourced leads through a full enterprise sales cycle (discovery to signed SOW).
Demonstrated ability to run a full sales cycle independently: prospecting through close, without dedicated BDR support.
Experience selling complex, multi-month consulting engagements (statement-of-work deals, not SaaS subscriptions).
Excellent executive-level communication skills — written, verbal, and in-room presence at C-suite and VP level.
Experience in Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech).
Experience in selling AI/ML services, LLM-based products, or cloud data.
Willingness to travel (up to 40%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities.
About Provectus:
Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing.
We are recognized by industry analysts as a leading provider of AI solutions across key business domains.
At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact.
Why Join Us:
Work at the intersection of two of the most powerful AI partnerships in the industry — Anthropic and AWS.
A world-class AI/ML team that can actually execute on what you sell.
Shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption.
High-impact role with direct visibility to leadership.
Strong earning potential with performance-based bonuses.
Opportunity to work with cutting-edge AI and cloud solutions.
B2B contract model or full-time model.
OTE range $120-140k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data.
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
Humanoid is seeking a highly driven and experienced Product Program Manager to join our Product Department. This critical role will lead the end-to-end development and delivery programme and relevant product-related projects for Humanoid's next-generation bipedal humanoid robot fleet solution – from Alpha prototype to production version, and from early adoption to mass deployment and further to different version obsolescence.
As the anchor for the development, launch and deployment process, you will drive cross-functional coordination across Product, Engineering, Operations, and Marketing teams to ensure that the solution is delivered on-time, on-cost, on-quality, and on-spec.
This is a highly collaborative role, requiring deep expertise in programme delivery and budget management across both technical and non-technical workstreams, as well as in product lifecycle for products that combine cutting edge hardware and software technologies. You will work closely with Engineering's Technical Program Managers (TPMs), who own the detailed technical execution of the mechanical, actuation, controls, perception and other AI systems that underpin safe and reliable bipedal locomotion, manipulation and interaction, to ensure their workstreams are integrated into the overall programme plan, as well as other key stakeholders. The ideal candidate will possess strong leadership skills, a structured delivery and product-oriented mindset, and the ability to operate confidently across a diverse stakeholder landscape.
WHAT YOU'LL DO
- Lead the full lifecycle programme management of the humanoid robot fleet solution development & deployment – from planning, design, prototyping, testing, manufacturing to launch, early to mass deployment, version update to obsolescence or repurposing.
- Act as the central coordination point between Product, Engineering, Operations, Manufacturing, Supply Chain, Marketing, Business Development and Finance to align resources, schedules, and deliverables.
- Develop and maintain programme plans, risk registers, dependency maps, and stage gates to ensure structured and transparent delivery.
- Champion best-in-class governance, reporting, and communication processes to ensure all stakeholders remain informed and engaged.
- Identify and mitigate programme risks and issues early to maintain momentum and resolve delivery challenges.
- Support the Product Department in defining scope, prioritisation, and trade-off decisions throughout the development & deployment cycles.
- Drive alignment between cross-functional teams and facilitate decision-making to unblock issues across technical and operational domains.
- Own programme budget planning and management across development, testing, tooling, and deployment phases – building and maintaining the budget, tracking actual spend against plan, forecasting variances, managing change control on cost impacts, and reporting budget performance to senior stakeholders.
- Partner with Engineering's Technical Program Managers (TPMs) to drive delivery of the bipedal locomotion, whole-body control, sensor integration, and safety/certification workstreams – ensuring their technical plans and test campaigns are reflected in the overall programme schedule and dependencies, with progress reported transparently to stakeholders. TPMs own the detailed technical execution and design decisions; this role owns the programme-level integration, sequencing, and accountability for outcomes.
- Work with Engineering TPMs, Supply Chain, and Finance to manage the commercial, budget, and schedule aspects of supplier/partner relationships for critical bipedal subsystems (actuators, gearboxes, batteries, sensors), and to translate technical KPIs (e.g. locomotion performance, MTBF, production readiness) into programme-level cost, schedule, and quality reporting.
WHAT WE'RE LOOKING FOR
- Bachelor’s degree or higher in Mechanical, Electrical, Mechatronics, Manufacturing, Industrial Design Engineering or a closely related technical discipline.
- 7+ years of experience in programme or project management roles within technology or product development environments, preferably in Robotics or Consumer electronics environments, having followed different stages of product lifecycles.
- Formal project management qualification (PMP, PRINCE2, or equivalent).
- Proven track record of successfully delivering complex, multi-disciplinary hardware and/or software product development programmes.
- Strong experience in managing cross-functional teams spanning engineering, operations, manufacturing, finance, and supply chain.
- Excellent communication, stakeholder management, and problem-solving skills.
- Ability to work in a fast-paced and evolving environment, driving clarity and direction across multiple teams.
- Experience owning or managing programme budgets for complex hardware/technology programmes, including cost tracking, forecasting, and reporting.
- Experience partnering with technical/engineering leads (e.g. Technical Programme Managers) on complex hardware programmes – ideally including legged or bipedal robotics, or closely related fields such as locomotion research or actuator-driven mechatronic systems – with enough technical fluency (actuators, controls, sensors, robotics safety standards) to translate technical risk into programme impact and make informed scope and trade-off decisions, without requiring hands-on engineering ownership.
Nice to have:
- Direct experience working on or managing a bipedal or legged humanoid robot programme, from prototype through to production and deployment.
- Experience with mass-production ramp-up of complex robotic or mechatronic hardware, including supplier qualification and manufacturing scale-up.
- Familiarity with simulation-to-real transfer, digital twin practices, or reinforcement-learning-based control as used in modern humanoid development.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: London, United Kingdom
Workplace: onsite
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide.
As an Assistant Facilities Manager, you will support the Building Manager in the day-to-day operation of university campus buildings, helping to ensure a safe, compliant, welcoming, and high-performing environment for students, staff, and visitors. Supporting our institutions by enabling them to focus on providing our students with the best education experiences. Your mission is to create an inspiring educational environment that enables our institutional stakeholders to succeed and every student to thrive.
Summary of role:
Act as the first point of contact for facilities-related enquiries, delivering excellent customer service to students, staff, visitors and stakeholders.
Support the day-to-day operation of campus buildings, overseeing maintenance activities, contractor performance and essential facilities services including cleaning, security and waste management.
Assist with health, safety and compliance activities, including inspections, audits, statutory testing, risk assessments and emergency procedures.
Maintain accurate facilities records, compliance documentation and management system data, while supporting budgeting, reporting and sustainability initiatives.
Contribute to building improvement, refurbishment and operational projects, identifying opportunities to enhance service quality, efficiency and the campus experience.
Requirements
Essential
Facilities Management qualification, apprenticeship, or equivalent practical experience.
Health & Safety qualification (or willingness to work towards one).
Experience within facilities, estates, property or building services.
Strong customer service, stakeholder management and communication skills.
Good understanding of facilities management and workplace health & safety.
Strong organisational, administrative and Microsoft Office skills.
Ability to manage priorities, solve problems and work proactively.
Desirable
NEBOSH General Certificate and/or IWFM membership.
Experience in higher education, commercial office or multi-occupancy environments.
Experience using CAFM systems and supporting health & safety compliance.
Knowledge of hard and soft FM services, contractor management and statutory compliance requirements.
Experience working with Building Management Systems (BMS).
What we offer:
Contributory Pension Scheme -
5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions.
Season Ticket Loan (T&C's apply) -
spread the cost of your commute with an interest-free travel loan.
Training & Development opportunities (T&C's apply) -
access to short courses via FutureLearn and Group-wide professional development programmes.
Staff Discount Scheme -
via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc
Employee Assistance Programme -
confidential support for your wellbeing, whenever you need it.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: London, United Kingdom
Workplace: onsite
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide.
As an Assistant Facilities Manager, you will support the Building Manager in the day-to-day operation of university campus buildings, helping to ensure a safe, compliant, welcoming, and high-performing environment for students, staff, and visitors. Supporting our institutions by enabling them to focus on providing our students with the best education experiences. Your mission is to create an inspiring educational environment that enables our institutional stakeholders to succeed and every student to thrive.
Summary of role:
Act as the first point of contact for facilities-related enquiries, delivering excellent customer service to students, staff, visitors and stakeholders.
Support the day-to-day operation of campus buildings, overseeing maintenance activities, contractor performance and essential facilities services including cleaning, security and waste management.
Assist with health, safety and compliance activities, including inspections, audits, statutory testing, risk assessments and emergency procedures.
Maintain accurate facilities records, compliance documentation and management system data, while supporting budgeting, reporting and sustainability initiatives.
Contribute to building improvement, refurbishment and operational projects, identifying opportunities to enhance service quality, efficiency and the campus experience.
Requirements
Essential
Facilities Management qualification, apprenticeship, or equivalent practical experience.
Health & Safety qualification (or willingness to work towards one).
Experience within facilities, estates, property or building services.
Strong customer service, stakeholder management and communication skills.
Good understanding of facilities management and workplace health & safety.
Strong organisational, administrative and Microsoft Office skills.
Ability to manage priorities, solve problems and work proactively.
Desirable
NEBOSH General Certificate and/or IWFM membership.
Experience in higher education, commercial office or multi-occupancy environments.
Experience using CAFM systems and supporting health & safety compliance.
Knowledge of hard and soft FM services, contractor management and statutory compliance requirements.
Experience working with Building Management Systems (BMS).
What we offer:
Contributory Pension Scheme -
5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions.
Season Ticket Loan (T&C's apply) -
spread the cost of your commute with an interest-free travel loan.
Training & Development opportunities (T&C's apply) -
access to short courses via FutureLearn and Group-wide professional development programmes.
Staff Discount Scheme -
via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc
Employee Assistance Programme -
confidential support for your wellbeing, whenever you need it.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: Remote or Mississauga
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary
This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.
Job Summary
The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide.
Key Responsibilities
Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform.
Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components.
Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams.
Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale.
Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.
Qualifications & Skills
Expert level in Python and Java with strong software engineering fundamentals.
Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes).
Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams.
Preferred
Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making
Demonstrable history of leading and sustaining build out of critical cross-team systems
Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
Experience optimizing large model training and inference (including LLM serving) for performance and cost.
#LI-AJ1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $179,000-$224 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Remote, USA
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary
This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.
Job Summary
The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide.
Key Responsibilities
Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform.
Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components.
Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams.
Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale.
Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.
Qualifications & Skills
Expert level in Python and Java with strong software engineering fundamentals.
Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes).
Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams.
Preferred
Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making
Demonstrable history of leading and sustaining build out of critical cross-team systems
Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
Experience optimizing large model training and inference (including LLM serving) for performance and cost.
#LI-AJ1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $158,000-$198, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
ГибридRelocation expense coverage to NYC or SF (if needed)
United States, San Diego, CA; Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
Toronto, Ontario, Canada
Denver, Colorado, United States, AMER
Toronto, Ontario, Canada
ОфисUK, London
УдалённоNew York City Metropolitan Area; Connecticut; New Jersey; New York, New York; San Francisco Bay Area, California
