Location: Des Moines, Iowa, United States
About the Role
iCapital is looking to hire a Sales and Account Management Analyst based in the greater Des Moines, IA area. to join the Annuities Platform team. This role is an individual contributor role responsible for supporting the Sales and Strategic Account Management organization across both carrier and distributor relationships. This position provides operational coordination, account administration, reporting, client meeting support, lead generation, and sales support activities.
This individual plays a key role in maintaining account health, driving responsiveness, supporting business development efforts, and ensuring client commitments and internal action items are completed effectively and on time. This role serves as an entry point into both the Sales and Account Management career paths, providing broad exposure to client relationship management, pipeline generation, business operations, and commercial growth initiatives. This individual will help maintain a high level of organization and responsiveness across the account management portfolio while developing the skills necessary for future advancement into client-facing sales and account management roles.
Responsibilities
Support Carrier Account Managers and Strategic Account Managers in managing assigned carrier and distributor relationships.
Coordinate client meetings, prepare agendas and materials, document meeting notes, and track follow-up actions.
Maintain accurate account, opportunity, activity, and contact records within Salesforce.
Track client commitments, deliverables, production support issues, implementation activities, and internal action items to ensure timely resolution.
Prepare account reports, account health summaries, client activity reports, ticket summaries, and executive-ready presentations.
Assist with client visits, conferences, strategic planning sessions, and meeting logistics.
Qualify inbound leads and route opportunities to the appropriate sales or account management resource.
Support outbound lead generation activities, marketing campaigns, prospect outreach, and event follow-up efforts designed to drive pipeline growth.
Participate in prospect discovery calls, demonstrations, and sales follow-up activities as needed.
Build and maintain Salesforce reports, dashboards, and data integrity to support business development and account management activities.
Develop strong working relationships across Sales, Marketing, Product, Client Delivery, Production Support, Operations, and other internal teams.
Respond promptly to client and internal requests while maintaining a high level of organization, professionalism, and customer service.
Support special projects and other duties as assigned.
Qualifications
Minimum of 1-3 years of professional experience in account coordination, customer success, client service, project coordination, operations, insurance, financial services, SaaS, or related fields
Strong organizational and time-management skills
Excellent written, verbal, and presentation communication skills
Strong attention to detail and follow-through
Able to manage multiple priorities simultaneously
Experience using Microsoft Office Suite, especially PowerPoint and Excel
Experience using Salesforce or comparable CRM platforms preferred
Able to build effective relationships and collaborate across teams
Knowledge of life insurance, annuities, financial services, or InsureTech is preferred
Self-motivated, proactive, and able to work independently in a fast-paced environment
Strong customer-service orientation with a focus on responsiveness and follow-through
Able to travel up to 5% of the time for team meetings, strategic planning activities, client visits, and industry events
Benefits
The base salary range for this role is $60,000 to $70,000.This position is paid on an hourly basis and is classified as non-exempt. Employees in this role are eligible for overtime pay in accordance with applicable law. iCapital offers a compensation package that includes equity for all full-time employees and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer-matched retirement plan, generously subsidized healthcare with 100% employer-paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. This role is based in the greater Des Moines, IA area.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
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
You will serve as a front-line manager for Ramp’s founding Public Sector Sales Development Representative (SDR) team. This team will drive outbound prospecting and pipeline generation within a critical growth segment for Ramp: Public Sector.
You will build and evolve Ramp’s Public Sector go-to-market motion from the ground up. Key responsibilities include coaching and developing SDRs, setting team strategy, and partnering closely with Sales, Marketing, Product, and executive leadership to drive pipeline and business outcomes.
As a member of the Sales Leadership team, you will play a critical role in shaping, scaling, and refining Ramp’s Public Sector growth strategy.
WHAT YOU'LL DO
- Build and scale the Public Sector SDR function, including team structure, playbooks, messaging, and operating processes.
- Foster a high-performing team culture by managing daily activity, quota attainment, and key performance metrics.
- Hire, onboard, and train SDRs on Ramp’s products, Public Sector positioning, buyer personas, competitive landscape, and sales tools.
- Create and execute career-development and leadership plans for direct reports, including regular 1:1 coaching on time management, objection handling, prospecting strategy, and active listening.
- Coach SDRs through complex, multi-threaded outbound motions, including account research, executive-level messaging, and strategic pipeline generation.
- Define Ramp’s Public Sector competitive differentiation and develop resources to strengthen objection handling and go-to-market execution.
- Lead cross-functional initiatives with AEs and partners across Product, Sales, and Marketing to achieve company objectives.
- Report on segment performance and forecast pipeline to senior leadership.
- Improve team output and efficiency by continuously optimizing systems, processes, and operating rhythms.
- Represent the Public Sector Sales Development team in cross-functional forums and with leaders across the organization.
WHAT YOU NEED
- At least 2 years of quota-carrying individual-contributor sales experience, with a consistent record of exceeding goals.
- At least 3 years of experience building and leading sales development teams, with a demonstrated record of exceeding team goals.
- Success in fast-paced, results-oriented go-to-market environments (ideally within SaaS) and a history of outperforming quota in outbound sales.
- Experience managing or selling into the Public Sector.
- A passion for hiring and talent development, with a thoughtful approach to team planning and career growth.
- Proficiency with data-analysis tools and familiarity with email and call-automation platforms.
- Ability to use data to inform decisions, build scalable systems, and identify process improvements.
- Strong collaboration, communication, influence, and presentation skills.
NICE-TO-HAVES
- Experience selling financial-services products in a full-cycle sales role.
- Experience building a Public Sector SDR function from the ground up or scaling a team within a new segment.
- Experience at a high-growth startup.
- Bachelor’s degree from an accredited university.
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: Remote (Canada)
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
ABOUT THE TEAM
As a Senior Associate on Wealthsimple's Treasury Cash Management team, you'll play a critical role in ensuring optimal cash flow management and operational efficiency. You'll manage daily payment processing operations, monitor balances across accounts, and develop immediate and short-term cash flow forecasts that drive liquidity and revenue optimization decisions.
IN THIS ROLE YOU’LL HAVE THE OPPORTUNITY TO
- Process and validate daily payment transactions across multiple channels
- Manage journal entries with precision and timeliness
- Monitor and maintain target balance thresholds across banking relationships
- Develop and maintain short term cash flow forecasts
- Optimize liquidity positions to maximize financial returns
- Communicate cash position updates to relevant stakeholders
- Identify process improvement opportunities and implement solutions
- Analyze patterns in cash movements and highlight anomalies
- Support treasury operations during high-volume periods
SKILLS YOU’LL BRING
- Extreme attention to detail with strong data verification instincts
- Understanding of brokerage operations and settlement processes
- Demonstrated ability to thrive in fast-paced, dynamic environments
- Adaptability to quickly pivot between tasks and processes as priorities shift
- Exceptional organizational skills and structured approach to work
- Working knowledge of AI tools for data analysis and process optimization
- Proficiency in identifying data anomalies and outliers in large datasets
- Strong analytical capabilities to understand numerical relationships
- Independent problem-solving skills with solution-oriented mindset
- Excellent communication skills, both written and verbal
- Experience with treasury management systems and banking platforms
- Bachelor's degree in Finance, Accounting, Economics or related field
PREFERRED QUALIFICATIONS
- 2-3 years minimum in cash management or payment processing experience
- Experience in fintech or digital banking environments
- Knowledge of regulatory requirements for financial transactions
- Familiarity with SQL or other data query languages
- Experience with process automation tools
- Understanding of settlement risk and liquidity management principles
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Location: North America
Coder builds enterprise software that keeps developers in flow. As a Senior Customer Support Engineer, you will help customers solve complex technical issues, get unstuck faster, and build with confidence.
You will work closely with Product, Customer Success, and Enterprise Account Managers to resolve urgent issues, improve support workflows, and turn customer feedback into better product experiences. This is a highly visible role on a growing team, with direct impact on how customers experience Coder.
What you’ll do here
- Reproduce and debug customer issues using existing tools, test environments, or custom reproduction setups
- Solve incoming technical support requests in a timely manner, including urgent, high-severity cases
- Communicate clearly and tactfully with customers throughout the support lifecycle
- Gather context, provide diagnostic steps, share resolution guidance, and follow up after issues are resolved
- Identify and communicate product usage trends, bugs, and feature requests
- Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls
- Document customer activity in accordance with internal and external security standards
- Guide and mentor new team members on support processes and procedures
- Contribute to product documentation, customer knowledge base articles, and best practice guides
- Improve support processes, tools, and workflows in collaboration with the broader team
- Participate in a periodic on-call rotation for production-down issues
What we’re looking for
- Based in the US West Coast timezone
- 5+ years of customer support engineering experience, or a comparable customer-facing technical role, preferably with critical software products
- 5+ years of experience supporting enterprise customers
- 2+ years of experience diagnosing production network connectivity and performance issues
- Strong problem-solving, analytical, and troubleshooting skills
- Clear, thoughtful communication skills, both verbal and written
- Experience with Terraform
- Experience with major cloud platforms, distributed systems, microservices architecture, and containerization technologies such as Kubernetes
- Experience with a scripting language, such as Bash, Python, or Ruby, to automate reproduction environments and support workflows
- Ability to read complex code for troubleshooting
- Experience with GitHub
- Experience with REST APIs and command line tools
- Strong organization, attention to detail, and ability to learn new technologies quickly
- Experience working in a startup environment
- A customer-first mindset and a strong instinct for automation, process improvement, and efficient resolution strategies
Bonus tacos if you have
- DevOps Engineering, Software Engineering, or Systems Administration experience
- Software-defined networking experience, such as Tailscale
- Experience supporting engineering teams and the tools they use every day
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: United Kingdom
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker’s Professional Services team partners with customers to turn AI and cloud-native deployments into working production outcomes.
We are looking for a technically fluent Delivery Program Manager to operate delivery engagements. You will be embedded as an overlay alongside technical sales, solution architects, forward deployed engineers, and delivery partners, translating customers’ technical and business requirements into scoped service engagements and managing them through delivery.
You will be both builder and operator: designing repeatable service offerings where none exist today, and equally willing to roll up your sleeves to scope a detailed Statement of Work or unblock a stuck engagement. If you thrive in ambiguity, love building order from chaos, and operate with high autonomy and low ego, this role is for you.
_______________________________________________________________________
WHAT YOU'LL OWN
DELIVERY OPERATIONS
- Operationalize the end-to-end engagement lifecycle, from scoping and kickoff through delivery, handoff, and retrospectives.
- Directly manage customer engagements: plan, run governance cadences, track milestones, manage risks and dependencies, and escalations.
- Review technical assumptions in scopes and SOWs with solution architects (environments, integrations, identity, network and security constraints, customer prerequisites) so estimates and timelines hold up in delivery.
- Own customer readiness and handoff: environment prerequisites, acceptance criteria, and clean transition to Support and Technical Account Managers.
OFFERINGS AND REUSABLE ASSETS
- Partner with solution architects to create reusable delivery assets: playbooks, runbooks, statement of work templates, reference architectures, and onboarding workshops/guides.
- Turn repeatable customer patterns into packaged, fixed-scope offerings with defined outcomes, durations and pricing inputs.
- Build and maintain the sales-cycle engagement model and intake process for when and how Services are engaged across sales stages.
GOVERNANCE, TOOLING, AND METRICS
- Build the program management and governance infrastructure: intake frameworks, capacity planning models, risk registers, delivery dashboards, and milestone tracking.
- Define and report delivery KPIs: on-time delivery, utilization, engagement margin, customer satisfaction.
- Own SOW amendment and change-order processes: define when and how scope changes are documented, approved, and reflected in project tracking.
- Partner with Legal on SOW frameworks and language.
_______________________________________________________________________
QUALIFICATIONS
- 8+ years of experience in technical program management, professional services, forward deployed engineering services or equivalent cross-functional roles.
- Experience at a B2B SaaS, developer tooling, or infrastructure software company delivering implementation, migration, or adoption engagements to enterprise customers.
- Demonstrated experience building programs, processes, or practices from scratch not just optimizing existing ones.
- Strong technical fluency: comfortable participating in systems architecture discussions, understanding system dependencies.
- Strong structured problem solving, facilitation, and systems thinking, including participation in
- Experience with Professional Services tooling and business systems (e.g., Salesforce, NetSuite, PSA tools)
- Exceptional written and verbal communicator able to produce executive-grade program readouts and customer-facing documentation alike.
- High degree of personal accountability; comfortable owning ambiguous problems with limited oversight and providing value-added improvements.
Preferred Qualifications
- Professional services, consulting, or delivery experience at an infrastructure software vendor or systems integrator.
- Experience self-serving data and analytics (Looker, Tableau, or similar) to build performance reporting.
- Prior experience scaling a Professional Services or delivery organization or a support services operation through a growth or transformation phase.
- Experience building engagements with third-party partners and system integrators within professional services delivery models.
_______________________________________________________________________
WHY THIS ROLE
Building a PS function from the ground up is rare. This is an opportunity to shape how Docker serves its most strategic customers, define what great looks like for technical delivery, and leave a lasting operational footprint on a high-growth organization. You will have broad scope, executive access, and the room to build something that matters.
What to Expect in the First 30 Days
- Shadow: join scoping calls and review active projects.
- Audit the existing SOW process and template library to identify gaps in standardization, approval routing, and tracking.
- Meet your key partners: Sales Engineers, Solution Architects, Forward Deployed Engineers, Technical Account Managers, Finance and Legal.
What to Expect in the First 60 Days
- Manage first customer engagement directly, with support from the existing team.
- Identify the highest-priority SOW template gaps for standardization.
- Document the current delivery framework as it exists today capturing what's working, and what needs to change.
What to Expect in the First 60 Days
- Autonomously managing customer engagements.
- Support leadership with quarterly review cycles on active engagements and retrospectives.
- Translate process gaps into actionable workstreams with clear owners, timelines, and accountability.
Visa sponsorship: Not available for this role.
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Remote - Brazil
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Principal Presales Engineer, Product Specialist.
About the job
This position is needed to partner closely with sales, solutions engineering, and enterprise strategists to consult on complex, multi-product opportunities. You will scope, design, and validate how complex multi-product solutions fit into the client’s ecosystem and help paint the long-term Twilio vision for our customers. You will be a critical partner cross-functionally, working with product, engineering, and marketing to identify and share technology patterns and shifts from our clients (and prospects) to influence product strategy.
Responsibilities
In this role, you’ll:
Develop your expertise of the Twilio platform, use cases and buyer personas, while keeping up with industry trends in Voice + AI
Scope, design, and build multi-product solution architecture and compelling presentations to secure the Technical Win
Support core sales and solutions engineering team members on value-selling strategies and complex solution sales
Design and validate scalable, secure, multi-product messaging architectures aligned to customer ecosystems and long-term Twilio adoption.
Partner with Sales, Solutions Engineers, and Enterprise Strategists to drive technical validation and secure the technical win in complex sales cycles.
Document recent patterns and technology shifts with our clients and prospects to influence Product and R&D strategy and roadmap via GTM interlock and PDLC processes
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
Hands-on experience designing and validating Conversational AI or LLM-driven architectures (e.g., integrating OpenAI, Dialogflow, or similar models via APIs).
Experience leading pre-sales or solution architecture engagements, including scoping, design, and technical validation in both Portuguese and English language.
Strong background in API-based, event-driven systems, with hands-on experience using REST APIs and webhooks.
Working knowledge of at least one backend language such as Node.js or Python, with prior software development or equivalent experience.
Demonstrated expertise in messaging platforms, including throughput management, retry strategies, and deliverability optimization.
Ability to communicate complex technical concepts clearly to technical and executive audiences.
Strong collaboration and influencing skills across sales, engineering, and product stakeholders.
Desired:
Experience working in an overlay or specialist pre-sales capacity.
Experience collaborating with Product on roadmap or positioning.
Prior exposure to Twilio products or other CPaaS platforms.
Business-level proficiency in Spanish.
Location
This role will be remote, and based in Brazil.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: New York, United States; Toronto, Canada
Workplace: hybrid
Technical Operations Manager
We are seeking a hands-on Technical Operations Manager to own and mature core TechOps capabilities across security, endpoint management, identity, networking, operational resilience and service management. Security is an equal and integral part of the role, alongside reliable day-to-day technology operations and continuous improvement. The successful candidate will combine strong technical troubleshooting and security operations experience with operational leadership. You will hold global ownership for assigned TechOps capabilities while acting as the primary TechOps presence within your region. You will be expected to identify risks and operational weaknesses, design practical solutions, drive remediation to completion and maintain clear, audit-ready evidence of control effectiveness.
About Us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency.
Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across:
• Global payments and receivables
• Foreign Exchange (FX)
• Treasury management
• Finance reconciliations
We are rapidly expanding, with established presence in EMEA, APAC, and North America, backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
Key Responsibilities
Security Operations & Incident Management
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Operate as a hands-on security-focused TechOps leader across endpoint, identity, email, collaboration and access layers.
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Use Microsoft Defender and related security tooling to investigate alerts, suspicious activity, endpoint vulnerabilitie and configuration weaknesses.
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Perform technical investigation, containment and remediation for incidents within TechOps scope, partnering with Security/SOC, SRE and Engineering where deeper investigation or escalation is required.
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Drive root-cause analysis, corrective actions and post-incident improvements to reduce recurrence.
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Support least-privilege, privileged access and Zero Trust security principles across the technology estate. Endpoint, MDM & Vulnerability Management
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Own the security, compliance and operational health of Windows and macOS endpoints globally.
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Own MDM and endpoint management capabilities, including device enrolment, compliance policies, security baselines, encryption, application deployment and configuration management.
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Drive endpoint vulnerability and patch management from identification and risk prioritisation through remediation and compliance reporting.
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Monitor vulnerable or non-compliant devices, investigate exceptions and ensure remediation within agreed timelines.
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Maintain secure endpoint standards aligned with recognised security benchmarks and organisational requirements.
Identity & Access Management
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Administer and improve Microsoft Entra ID, including Conditional Access, MFA, SSO, SCIM, enterprise applications, groups and identity protection.
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Own and continuously improve Joiner, Mover and Leaver (JML) processes, ensuring reliable provisioning and timely deprovisioning of access.
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Drive automation and group-based access models to reduce manual administration and strengthen access governance.
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Support privileged access management and identity governance controls. Networking & Secure Access - Core Requirement
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Demonstrate strong practical networking knowledge, including TCP/IP, DNS, DHCP, routing, NAT, firewalls, proxies, VPNs, Wi-Fi, certificates and TLS/SSL.
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Own or support secure access technologies such as Zscaler, including Client Connector, traffic forwarding, URL filtering, SSL inspection, PAC files, internet access and private application access.
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Troubleshoot complex connectivity issues and determine whether the root cause sits with the endpoint, identity, DNS, network, proxy, firewall, certificate or application layer.
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Work with network, security and infrastructure partners to design and implement resilient, secure office and remote connectivity.
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Support office network operations, ISP/vendor escalations and connectivity resilience within the assigned region.
Compliance, Vanta & Control Management
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Own the operational effectiveness of TechOps security and compliance controls and use Vanta to monitor control health, identify gaps, coordinate remediation and maintain evidence.
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Support audit and regulatory readiness across ISO 27001, SOC 2, PCI DSS, GDPR and other applicable frameworks.
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Understand the purpose and risk addressed by TechOps controls rather than treating compliance as an evidence-only exercise.
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Partner with Security, Risk, Legal and Compliance teams on risk assessments, audit requests, control testing and remediation activities.
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Maintain accurate, timely and audit-ready technical documentation and evidence.
IT Service Management, Jira & Operational Excellence
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Use Jira/Jira Service Management to manage operational work, priorities, ownership, SLAs, backlog, incidents, service requests, problems, changes and access requests.
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Act as an escalation point for complex operational and security issues and coordinate structured resolution across teams.
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Establish and maintain measurable operational standards, dashboards and service performance reporting.
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Ensure problems are taken through to resolution with clear ownership and follow-through, not simply transferred between teams.
Process Improvement & Automation
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Continuously review TechOps processes and identify opportunities to simplify, standardise, automate or introduce self-service.
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Develop and maintain automation using PowerShell, APIs and workflow platforms to reduce manual effort and improve reliability, security and auditability.
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Create scalable global standards while recognising legitimate regional requirements.
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Document repeatable processes through runbooks, SOPs, knowledge articles and technical documentation.
Asset, Software & Technology Lifecycle
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Maintain accurate hardware, software, access and ownership inventories, with clear linkage between users, identities, devices, applications and privileges.
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Oversee device lifecycle activities including deployment, stock/spares, recovery, secure disposal and regional logistics.
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Support software licensing, application lifecycle management and identification of unused or unnecessary licences.
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Evaluate and onboard new IT/security tooling with appropriate technical, security and operational due diligence.
Regional Office Technology & Vendor Management
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Act as the primary TechOps contact for the assigned office/region and ensure reliable, secure and professional end-user technology services.
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Own or coordinate office technology including connectivity, Wi-Fi, meeting rooms, printing, end-user equipment and local technology vendors.
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Manage vendor escalations and service performance and challenge proposed technical solutions where appropriate.
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Provide initial operational triage for business-critical platform or production incidents and coordinate escalation to SRE or Engineering.
Leadership, Ownership & Collaboration
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Operate with a high degree of autonomy: identify issues, assess risk, propose solutions, drive delivery, communicate progress and close the loop.
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Mentor and guide TechOps specialists, delegate effectively and promote consistent standards across regions.
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Partner effectively with Security, SRE, Engineering, HR, Legal, Compliance and business stakeholders.
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Communicate operational health, risks, incidents, dependencies and improvement priorities clearly to TechOps leadership and relevant stakeholders.
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Take global ownership of assigned TechOps capabilities while supporting regional execution and cross-region consistency.
Experience & Qualifications
Experience
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7+ years of experience across Technical Operations, Security Operations, Systems Engineering, Infrastructure or related roles.
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Demonstrated experience operating and improving technology/security controls in a distributed, multi-region environment.
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Experience working in a regulated or security-conscious organisation is strongly preferred.
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Experience owning technical services or capabilities through their full operational lifecycle.
Technical Expertise - Must Have
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Strong hands-on Windows and macOS endpoint management and security experience.
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Strong MDM/endpoint management experience with platforms such as Intune, Iru/Kandji, Jamf, ManageEngine Endpoint Central or equivalent.
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Strong Microsoft security and identity experience, particularly Microsoft Defender and Entra ID.
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Strong practical networking and troubleshooting knowledge across DNS, DHCP, TCP/IP, routing, NAT, firewalls, proxies, VPNs, Wi-Fi, certificates and TLS/SSL.
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Experience with Zscaler or comparable secure access/SSE platforms.
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Experience with vulnerability management, patching, security baselines and remediation tracking.
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Working knowledge of ISO 27001, SOC 2 and/or PCI DSS controls and audit requirements.
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Strong scripting and automation skills, particularly PowerShell, with the ability to work with APIs and workflow automation.
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Experience with Jira/Jira Service Management or comparable ITSM platforms and structured operational processes.
Nice to Have
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Microsoft Purview experience covering DLP, information protection and data classification.
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Exposure to PAM and identity governance tooling.
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Cloud security/operations exposure across Azure, AWS and/or GCP.
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Experience with Vanta or similar compliance automation platforms.
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Experience with office network design, ISP management and resilient connectivity.
Attributes
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Security-first and operationally minded, with equal focus on protection, reliability and user experience.
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Hands-on and technically credible; comfortable troubleshooting complex issues rather than relying solely on vendors or specialists.
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Ownership-driven, with strong follow-through from problem identification to measurable resolution.
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Calm and methodical during incidents and high-pressure situations.
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Comfortable challenging existing processes and proposing practical improvements.
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Strong communicator across technical and non-technical teams, time zones and cultures.
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Highly organised, documentation-driven and comfortable working with measurable objectives and controls.
Technology Environment
Microsoft 365, Azure Entra ID, Microsoft Defender, Microsoft Purview, MDM/endpoint management platforms, Windows and macOS, Zscaler, Vanta, Jira/Confluence, AWS and GCP, and third-party security and collaboration platforms supporting a globally distributed workforce.
Please note, candidates will need to have the right to work in the
jurisdiction that they are looking to work in.
The main responsibilities of this role are outlined above; however, this description is not exhaustive, and the job holder may
be required to undertake additional duties from time to time to ensure the smooth running of the department. The role may require some working outside our normal working hours.
Location: US, San Diego, CA
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
As Director of Autonomy at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos. This is a player-coach role: you own the roadmap, hiring, and delivery, while also training policies, curating data, and debugging failures on the robot yourself. That hands-on work is how you lead: it's how you find what slows the team down and fix it for everyone.
This role sits at the intersection of applied deep learning, robotics, and people leadership, working closely with the Controls team on whole-body teleoperation and combining RL controllers with learned policies, and with the Core Technology team on foundation model pre-training for five-finger dexterity and RL methods. If you have hands-on experience with real robot hardware, a track record in applied deep learning, and have led engineers doing this kind of work, we want to hear from you.
What You'll Do
- Own The Capability Roadmap: Work with product to identify use-case priority, choose the execution strategy, define the evals, and deliver on the agreed timeline.
- Lead The Team: Hire, develop, and manage a team of robot learning engineers; set engineering and experimental standards; run day-to-day prioritization.
- Co-Own The System 0/1 Interface: Agree with the Controls team on what the policy commands (end-effector targets, root velocity, pelvis height, foot targets, hand joint targets), debug failures across that boundary, and push requirements into the whole-body control roadmap.
- Partner On Data Strategy: Specify what good data looks like for bipedal locomanipulation with data collection and external acquisition organizations, ensure diversity and coverage, iterate on operator instructions, and supervise collection on the biped.
- Drive Sim-To-Real Transfer: Work with the Simulation team to set up RL training on the digital twin for bipedal tasks, then iterate on reward and simulation quality to ensure transfer to the real world.
- Shape Base Model Development: Feed bipedal requirements — embodiment coverage in the pretraining mixture, action representations, latency budgets — into the VLA Core Technology team's base model development, and adopt new base models as they land.
- Inform Hardware Design: Interface with the Hardware Design team so findings about hands, arms, and legs on the current generation are reflected in future designs.
- Report On Progress: Communicate progress to leadership in terms of capabilities working on the robot, eval results, and failure analysis.
WHAT WE'RE LOOKING FOR
- 5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware.
- Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline.
- Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work.
- Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL.
- Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data.
- Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX.
- Strong grounding in modern software engineering practices, with the ability to document experiments clearly and communicate trade-offs crisply to engineers and leadership.
NICE TO HAVE
- Experience with multi-fingered dexterous hands: teleoperation and retargeting, tactile sensing, in-hand manipulation.
- Experience with legged platforms: bipedal locomotion, whole-body control, humanoid teleoperation.
- Experience applying RL to robotics problems in simulation or on real robots.
- Familiarity with Physical Intelligence (π) models, NVIDIA GR00T, or similar open VLA frameworks.
- Publications at top-tier robotics or deep learning conferences (CoRL, RSS, ICRA, NeurIPS) or equivalent open-source contributions.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $300,000-$450,000 USD per year; your placement in that range depends on how experience maps to our internal leveling.
Location: London, UK
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Regional Marketing Manager EMEA
Sensor Tower
Location: London, UK
Work arrangement: Hybrid, with 2-3 days per week in the office
Organization: Marketing
Level: Director; initially an individual contributor, with future team leadership
About the role
Sensor Tower is seeking a Regional Marketing Manager to drive marketing across Europe, the Middle East, and Africa (EMEA). Based in London, you will help create and implement Sensor Tower’s regional marketing strategy, building awareness, generating demand, and supporting pipeline growth in partnership with regional Sales and our global Marketing organization.
This is a broad marketing role with an emphasis on product marketing and brand marketing. You will develop a strong grasp of our products and customer use cases, translating complex capabilities into clear, persuasive messaging for EMEA audiences. Working closely with Product, Sales, Engineering, and Customer Success, you will contribute regional insights to global launches and adapt global programs for local markets.
This is a director-level position that will begin as a hands-on individual contributor. You will set priorities, write content, and deliver programs directly, while establishing the foundation to build and lead an EMEA marketing team over time.
What you will do
- Drive the EMEA product marketing strategy and plan, aligning regional priorities with sales goals, global go-to-market strategies, and opportunities across the region.
- Work with Product and Engineering to understand product capabilities and translate technical information into customer value propositions and relevant use cases.
- Partner with global Marketing and Product on product and feature launches and beta programs, bringing EMEA buyer needs into planning and leading regional messaging and activation
- Help plan and execute integrated campaigns across content, email, digital channels, account-based marketing, and events to generate qualified pipeline and support deal progression.
- Collaborate with other marketing leaders on regional events.
- Equip regional Sales teams with localized pitch decks, competitive battlecards, product presentations, and case studies that address customer needs and objections.
- Gather customer feedback, competitive intelligence, and market insights across EMEA. Share actionable findings with global teams to inform product and marketing decisions.
- Establish scalable marketing processes, identify future hiring needs, and build and develop the regional marketing team as the function grows.
What you will bring
- Significant B2B marketing experience, with a track record of driving regional strategy and delivering results at a senior or director-level scope.
- Exceptional writing and editing skills in English, including the ability to explain complex products and data clearly to different buyer audiences.
- Experience adapting global strategies for EMEA, with an understanding of regional differences in buying behavior and market needs.
- The ability to build product knowledge quickly and partner effectively with Product and Engineering on messaging and launches.
- Strong cross-functional collaboration and influence, including partnership with regional Sales and global teams across time zones.
- Experience using CRM, marketing automation, and analytics tools to measure performance and guide decisions.
- Sound strategic judgment and prioritization, with the willingness to execute directly and the leadership skills to build a team over time.
- Broad hands-on experience across demand generation, field marketing, content, and account-based programs, with evidence of pipeline impact
Preferred experience
- Experience in SaaS, MarTech, AdTech, digital market intelligence, or data products.
- Experience hiring, mentoring, or managing a marketing team.
- Familiarity with Salesforce, Looker, or buyer intent platforms.
- Additional language skills relevant to EMEA markets.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: United States (Remote)
Workplace: Remote
About the Role
The Senior Analytics Engineer will help build the reusable analytical models, tools, and systems to power decisions across Temporal. This role reports to the Director of Data Engineering and Analytics. Ultimately, your goal is to make it possible for every Temporal employee to produce first-class analyses.
You will work across multiple business domains, including Product, GTM, Finance, and Engineering to deeply understand their needs and build solutions that enable both people and agents to reliably answer their analytical questions. You will architect and implement the data layer that sits between our landed source data and our various user interfaces via canonical entities, shared dimensions, metric definitions, data marts, etc. That includes making core concepts such as accounts, namespaces, activation, billable usage, and revenue consistent wherever they are used.
You will take direct ownership of work that is currently distributed across the Data Engineering and Analytics team, including data modeling, data mart and Omni Topic creation, and enablement. Along with helping to align our business logic across marts and dashboards, you will create clear technical governance and controls as you work to empower stakeholders across the business.
You will work closely with Data Platform and Trust on orchestration, deployment, observability, access controls, performance, reliability, and cost. You will partner with Data Science and Applied AI on feature tables, model outputs, model consumption, and monitoring. You will work with business functions on source system hygiene, prioritization of tasks, and validating business meaning of shared metrics.
The ideal candidate possesses strong SQL skills, sound business acumen, and deep expertise in building semantic products gained through years of experience across different tools, modeling frameworks, and subject areas. The candidate is comfortable with ambiguous business questions, knows when to build a reusable data product vs modify an existing one, and how to deliver practical solutions in keeping with an overall governance framework and strategy. You will be hands-on writing code, tests, documentation, and performing technical reviews.
What You’ll Do
- Build and maintain reusable analytical data products across Temporal's business domains.
- Define canonical entities, shared dimensions, purpose-built marts, metric components, explicit grains, keys, lineage, and history behavior.
- Design and maintain core parts of the Omni semantic layer and certified Topics, with clear definitions for measures, dimensions, joins, and time handling.
- Establish and improve standards for modeling, metric implementation, documentation, and change management. Build automated checks for freshness, completeness, uniqueness, and relationships between datasets, and make failures visible to the teams that own them.
- Reduce duplicated or conflicting logic across source tables, marts, Omni workbooks, dashboards, notebooks, and analytical agents.
- Partner with Data Platform and Trust on deployment, orchestration, observability, access controls, performance, cost, and production reliability.
- Partner with Data Science and Applied AI on feature tables, prediction outputs, model consumption, and monitoring.
- Work with domain partners and senior stakeholders to turn ambiguous questions into precise definitions, reusable models, and trusted ways for teams to answer follow-up questions themselves.
- Help qualified contributors outside Data Engineering and Analytics create tables, models, notebooks, and workbooks through controlled sandboxes, templates, automated checks, review, and promotion into shared-use environments.
- Make important data products understandable and usable for people and analytical agents through documented contracts, metadata, ownership, quality status, and retrieval guidance.
- Contribute to architecture decisions, design reviews, code reviews, and coaching while remaining hands on in SQL/code, modeling, testing, and documentation.
What You’ll Focus on First
- During your first several months, you will help the team:
- Document ownership of the core Analytics Products portfolio and identify high-risk duplicated or conflicting metric logic.
- Publish the initial canonical entity and mart architecture, including clear standards for grain, keys, history, lineage, and quality controls.
- Launch governed contribution templates, automated checks, and a review and promotion process for qualified contributors outside DEA.
- Create a practical certification and retirement process for metrics, Topics, dashboards, and shared data products.
- Deliver an initial version of one agreed priority data product, such as a revenue, PLG, or account-level model.
What You’ll Bring
- Advanced SQL experience, including the ability to reason about correctness, performance, and maintainability.
- Working proficiency in Python to build and maintain jobs that create and alter tables in the data lake.
- Experience with data transformation frameworks such as DBT, SQLMesh, etc
- Data mart design experience using modeling techniques such as dimensional and entity centric modeling.
- Experience implementing and maintaining a semantic layer or governed metrics.
- Advanced knowledge of grain, keys, history, lineage, contracts, and quality controls.
- Git, review, automated tests, CI/CD, and production ownership.
- Translating ambiguous questions into reusable products.
- Improving self-service while maintaining shared definitions.
- Working with senior business and technical stakeholders.
Helpful Experience
- S3, Athena, Iceberg, Hive, or another open lakehouse architecture.
- Hands-on experience with Omni Analytics, Looker, or a comparable semantic layer.
- Experience orchestration systems.
- Usage-based B2B SaaS, cloud infrastructure, developer tools, or consumption-based revenue.
- Building governed contribution programs.
- Designing metadata or semantic products for analytics agents.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: United States (Remote)
Workplace: Remote
About the Role
The Data Scientist, Product Growth and Experimentation will help drive decision making in support of our Product Led Growth function.
This role sits at the intersection of Data, Product, Growth, and GTM. You will work deeply embedded within the Product and Engineering teams focused on PLG. Your focus will be illuminating the user journey from initial interest to fully adopted and all the steps in between. You will surface friction points in the onboarding process and identify behaviors that are indicative of successful adoption. You will evaluate interventions that help us to bring the value of Temporal to more users.
You will work effectively across both large data, clean data sets and data sets with constraints in duration and sample size to provide well-informed recommendations and conclusions. You will bring deep knowledge and practical experience with statistical methods including matched comparisons, quasi-experimental methods, and uncertainty measurements to help overcome these constraints.
The ideal candidate possesses strong analytical judgment and practical product sense. Ambiguous business questions do not intimidate you. You have a keen sense for when additional data or analysis could materially change a conclusion, and when it wouldn’t. You apply analytical rigor while balancing what is functionally required to advance a project. Your aim is to drive better decisions and faster learning through measurable customer outcomes.
WHAT YOU’LL DO
- Act as an embedded Data partner to Product, Design, and Engineering, helping shape strategy, product proposals, and experiments from the earliest stages.
- Build analytical frameworks across the full PLG journey from acquisition and activation through engagement, adoption, expansion, monetization, and durability
- Use funnel, cohort, journey, and sequence analysis to identify friction and opportunities for improvement.
- Identify the behaviors and milestones that predict conversion, production readiness, expansion, churn, and long-term customer success, and translate them into leading indicators for successful or stalled accounts.
- Analyze feature discovery and adoption patterns to recommend interventions that increase successful adoption and expansion.
- Design and evaluate experiments and product changes, using matched comparisons, pre/post-intervention analysis, causal methods, and other appropriate techniques when conventional A/B testing is not practical.
- Clearly distinguish observed results from assumptions, quantify uncertainty, and explain the confidence behind each conclusion.
- Help prioritize growth opportunities based on potential impact, confidence, effort, and measurement feasibility.
- Build reusable datasets, metrics, dashboards, and analytical tools that reduce ad hoc work and make insights accessible to Product, Marketing, Sales, and leadership.
- Partner with Engineering and Data Engineering to improve event instrumentation, data quality, and the analytical models required for reliable product analysis.
- Communicate findings through clear visualizations, written narratives, and practical recommendations for technical and non-technical audiences.
WHAT YOU’LL FOCUS ON FIRST
During your first several months, you will help the team:
- Audit signals currently captured in the onboarding flow and recommend new instrumentation as needed
- Establish reporting and repeatable analysis for PLG experiments.
- Analyze user behavior after the first successful Activity or Workflow.
- Identify signals of production readiness and common points where users stall.
- Map feature-adoption paths across important product areas.
WHAT YOU’LL BRING
- A strong foundation in statistics, experimental design, causal reasoning, and quantitative analysis.
- Experience using product, behavioral, or event data to improve activation, engagement, retention, conversion, or expansion.
- Experience working with small samples, noisy signals, imperfect control groups, or environments where standard A/B testing is not always possible.
- Strong judgment in choosing methods that fit the decision, available data, and level of uncertainty.
- Proficiency in SQL and Python for analysis, modeling, and automation.
- Experience with cohort analysis, funnel analysis, segmentation, predictive modeling, and supervised or unsupervised machine-learning methods.
- Ability to prototype quickly in notebooks and convert recurring analyses into reliable data products, models, or workflows.
- Experience with modern data platforms and query engines such as Athena, Presto/Trino, BigQuery, or Snowflake.
- Familiarity with cloud and object-store technologies such as AWS S3.
- Experience building dashboards and reusable analytical assets in a modern business intelligence platform.
- Comfort working with evolving definitions, incomplete instrumentation, and trade-offs between analytical precision and decision usefulness.
- A results-oriented mindset and a record of translating analysis into product or business action.
- Strong communication skills, including the ability to explain methods, uncertainty, and recommendations in plain language.
- Curiosity about developer platforms, cloud infrastructure, usage-based products, and how customers adopt technically complex products.
- A collaborative approach and the ability to work effectively with Product, Engineering, Marketing, Sales, Finance, and Data partners.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Remote - US West
About the Job:
We're looking for a senior security leader to run our Product Security team and partner to the Director of Security. In this role, you'll own how Security operates: a program led by risk rather than audit calendars, where engineering teams own their security health and Security informs, guides, and validates, where automation and AI take the first pass on every finding, and where posture is measured and published to executives every quarter. You'll build that model, starting with Product Security and extending across the division.
You'll bring a balance of people management, security judgment, and program leadership as you manage a team of security engineers, act as incident manager of record, hold delegated approval for vendor and access decisions, and run the division when the Director is in an audit, a board cycle, or on vacation. You'll work closely with every engineering team to make the secure path the easy one.
Responsibilities:
Manage the portfolio of your team's work, appropriately managing everyone's time and assigning them to the highest priority work.
Help your team and the engineering organization make sense of, and simplify, how security work gets done: who owns what, what is automated, and what Security stops doing.
Guide product engineering teams in owning their own security health: findings route to them with mapped severity, Security reviews and validates rather than fixes, and each team sees its security health in its own service review.
Own the wiring and routing of security findings and requests, driving down noise and the human-decision rate across intake, triage, and review.
Serve as incident manager of record for security incidents: first escalation for our service-level commitments, delegated approver for vendor and access decisions, and cover for the Director's operational duties.
Publish posture: monthly service-level attainment to engineering, quarterly posture to the executive team, and a risk register that drives priorities.
About You:
You have led a security team out of the gatekeeper model once already, and you can say what teams owned afterward, what Security stopped doing, and what the numbers did.
You think in risk, not control lists, and you would rather defend a priority call than a checklist.
You treat automation and AI as the first responder and yourself as the escalation path.
You have been the second leader to a director or CISO and know which decisions to make in their name.
You have run security incidents end to end, including the comms and the review afterward.
You were a strong Senior or Staff security engineer before you managed, and you can still read a PR, a threat model, or a cloud finding and make a call.
You track and drive metrics, and you understand what they can and can't tell you.
Qualifications:
5+ years of experience in a formal security or engineering management role, including managing senior engineers.
Experience moving a security function from gatekeeper to team ownership, with measurable results.
Experience as incident manager for security incidents at a SaaS company, including external communication.
Experience guiding teams through technical tradeoffs and developing senior engineers' careers.
The ability to track and drive metrics, and the wisdom to understand what they can and can't tell you.
Familiarity with AWS security at scale and with external audits (SOC 2, ISO 27001, or FedRAMP) as a participant or control owner.
Excellent communication skills with both technical and non-technical stakeholders.
A thoughtful, empathetic approach to leadership and collaboration.
Pay:
Target pay ranges based on Geographic Zones* for Level M3:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $240,600 - 330,700*
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $216,500 - 297,600
**
Zone 3:
All other US locations - $
204,500 - 281,100
**
All Zones Inclusive of 15% Bonus Target
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Easton, United States
We are looking for a hands-on, proactive Warehouse Inbound & Returns Supervisor to lead our morning-shift team. In this role, you won't just oversee standard receiving; you will also manage our high-volume returns processing operations.
You will lead a dedicated team of 15 to 17 associates across both departments, ensuring we meet our commitments to top active lifestyle brands. If you enjoy a fast-paced environment, love building up a team, and have a sharp eye for process improvements, we want to hear from you!
What You Will Do:
Lead the Floor:
Directly supervise 5–7 receiving associates and roughly 10 returns processing team members.
Manage Inbound Flows:
Ensure all incoming shipments are unloaded, checked, and put away in racking quickly according to our strict deadlines.
Oversee Returns & Repackaging:
Direct the team sorting through customer returns. Decide what is damaged and what can be safely repackaged for future customer orders.
Plan Labor:
Review upcoming shipment loads and coordinate with internal client service teams to ensure you have the right headcount scheduled daily.
Train & Coach:
Build a multi-skilled team through continuous on-the-floor training, performance feedback, and cross-training.
Keep It Safe:
Drive a culture of safety across your assigned zone, identifying hazards and ensuring your team follows warehouse safety compliance.
What You Bring:
Experience:
3+ years of experience leading a logistics team, specifically within receiving, inbound, or returns processing.
Tech Literacy:
Strong experience working daily with a Warehouse Management System (WMS) and Microsoft Outlook.
Physical Ability:
Able to stand and walk on the concrete floor for extended periods, lift up to 50 lbs, and climb warehouse ladders or stairs.
Communication:
Strong verbal communication skills. Being bilingual in Spanish and English is a massive plus, but not required.
Education:
A high school diploma is required; a Bachelor’s degree in Logistics or Supply Chain is a plus.
2. "Why Apply?" Candidate Pitch
Double Exposure Leadership:
This isn’t a one-dimensional receiving role. You get to dual-manage standard inbound freight and e-commerce returns, significantly building your operational resume.
Real Career Growth:
The local footprint is expanding fast. A brand-new facility is opening locally in Q1, meaning plenty of room for upward mobility and future leadership paths as operations grow.
Work-Life Balance Culture:
Unlike third-party logistics (3PL) providers that force mandatory 70-hour weeks for months at a time, this company values labor management. Peak season operations are carefully managed to prevent leadership burnout.
Premium Clients:
You get to work directly with high-demand products from major companies in the active lifestyle space.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We’re hiring a Sales Development Manager (New York City or San Francisco) to lead and scale our founding SDR team at LangChain.
Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.
This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.
WHAT YOU'LL DO:
- Lead and coach a team of SDRs responsible for generating qualified pipeline
- Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment
- Recruit top SDR talent and grow the team as LangChain continues to scale
- Develop SDR talent through coaching, call reviews, and structured feedback
- Build repeatable outbound and inbound qualification playbooks
- Partner with marketing to convert inbound demand into qualified opportunities
- Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals
- Implement systems and workflows that improve SDR productivity and effectiveness
- Use data to continuously improve performance, analyzing conversion rates across the funnel
HOW TO BE SUCCESSFUL IN THIS ROLE:
- Have 5+ years of experience in sales development
- Have 1–3+ years managing SDRs or leading a sales development team
- Are comfortable working with technical products and developer audiences
- Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)
- Are highly data-driven and comfortable managing performance through metrics
- Are passionate about coaching and developing early-career sales talent
- Thrive in fast-moving environments where processes are still evolving
- Have strong communication and organizational skills
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States, Austin, TX
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.
Data Engineer
PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation’s global infrastructure.
Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products.
You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions.
What
You’ll
Do
Build scalable data pipelines that ingest, transform, and combine physical infrastructure, engineering system, financial, and product data.
Develop cost and allocation models that connect infrastructure consumption to workloads, services, features, and products.
Partner with engineering teams to understand complex infrastructure and identify the telemetry and instrumentation needed to measure it.
Analyze infrastructure cost, utilization, capacity, and unit economics to help drive key business decisions across all our teams.
Create trusted metrics, datasets, dashboards, and analytical tools used by engineering, product, Finance, and leadership.
Establish strong practices around data quality, testing, observability, documentation, and reproducibility.
Explore new data sources and technologies that improve how we understand and operate our infrastructure.
What
We’re
Looking For
3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems.
Advanced SQL skills and proficiency with Python or similar data-oriented programming languages.
Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines.
Strong analytical skills—you’re comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions.
Experience working with large, complex datasets across multiple systems and levels of granularity.
Ability to translate ambiguous business and technical problems into measurable requirements and scalable data solutions.
Experience and flexibility with current analytics and visualization tools.
Familiarity with teams and engineering systems that utilize both on-prem and cloud infrastructure.
Strong communication skills and the ability to work across global engineering, product, Finance, and business teams.
Nice to Have
Bachelor’s degree in computer science
Experience with AWS, Google Cloud, or Azure billing and usage data.
Experience with Kubernetes telemetry, networking, or data center operational data.
Familiarity with infrastructure cost allocation, unit economics, capacity planning, forecasting, or FinOps.
Experience connecting technical infrastructure consumption to product or business metrics.
PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation.
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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.
We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation.
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 (where applicable) 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.
About RETR:
RETR is a mortgage market intelligence platform used by loan officers, mortgage companies, and lenders. Founded in 2022, it is bootstrapped, profitable, and fully remote.
The role:
This is one of the first Customer Success Managers at RETR. You will own a book of enterprise customers end to end, managing relationships, value delivery, renewals, and growth. You will report to the VP of Customer Advocacy and collaborate with account executives and trainers.
What you own:
— A plan for every customer, updated regularly
— Ownership of the renewal process from day one
— Driving expansion through new use cases, features, and teams
— Building advocates who provide references, testimonials, and referrals
This role is proactive, not reactive account management or support. You will help create the Customer Advocacy playbook.
How we work:
RETR is lean, emphasizing automation and AI to reduce repetitive tasks. The work is fully remote and asynchronous, focusing on deep customer understanding and relationship building.
What success looks like:
You will know your accounts deeply, understand their usage and value, identify risks early, and drive retention and expansion.
Requirements:
— 3+ years in customer success, account management, or similar SaaS roles with renewal or expansion targets
— Curiosity about customer business models and ability to connect product to outcomes
— Ownership of commercial health of accounts
— Ability to spot real value-driven expansion opportunities
— Proactive problem identification and fast action
— Strong communication skills across all levels
— Comfort with building playbooks and working without a defined playbook
— Motivation by variable pay tied to customer retention and growth
— Ability to collaborate with sales, support, and enablement teams
— Mortgage industry experience is a major plus but not required
Compensation and benefits:
— Base salary $85,000
— On-target earnings $115,000 including $30,000 variable paid quarterly
— Variable pay can reach 150% of target (~$130,000 total) for strong performance
— Benefits include fully paid medical premiums, dental, vision, life, disability insurance, 401(k) with match, PTO and holidays, meal and wellness stipends, swag credit, full home office setup
— Fully remote with biannual company gatherings
How to apply:
Email a resume to jobs@retr.app with a brief description of a customer you retained, grew, or turned into an advocate and what you did. Skip the cover letter.
Apply here: https://weworkremotely.com/remote-jobs/retr-customer-success-manager
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing.
In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution.
Key responsibilities
Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches
Lead podcast strategy flights for major campaigns end to end, from planning through reporting
Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others
Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us
Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social
Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points
Manage voice-actor reads and QA spots before they air
Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience
Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas
Track pacing across buys and shift budget as performance data comes in
Present results and learnings back to the team on a regular basis
Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives
Minimum qualifications
Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget
Have managed podcast programs in-house directly, not only through an agency
Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each
Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas
Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale
Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations
Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy
Work well across many partner teams and can build repeatable processes that scale
Enjoy shaping a program from the ground up rather than maintaining an existing playbook
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience negotiating year-long or multi-format partnerships with top shows or networks
A background in copywriting or close collaboration with creative teams on host-read scripts
Familiarity with B2B audiences and enterprise-focused podcast buys
Experience with podcast measurement, attribution, and incrementality testing
Relationships with major audio publishers, networks, and independent hosts
Experience extending podcast partnerships into video, social, or live formats
Familiarity with AI products or the broader developer and knowledge worker audience
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$200,000
—
$255,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, wellness and longevity, member insights, emerging health signals, and software as a medical device. Applied ML Scientists and ML Engineers work as a production unit: scientists own problem framing and modeling; engineers own the path to production.
As a Senior Manager, Machine Learning on the Health team, you will own delivery and people outcomes across a mixed team of scientists and engineers. You will translate department strategy into clear quarterly plans, develop senior ICs (and, as the team grows, the next layer of managers), hire against a high bar for both crafts, and partner with Product and adjacent Health partners on what is worth building and what the data can support. You will stay close enough to the ML lifecycle to evaluate the team's most important decisions without becoming the default contributor.
Success in this role requires enough ML and health-domain fluency to earn trust from senior ICs, plus the people-leadership skill to grow that team, hold delivery across multiple workstreams, and make prioritization calls under uncertainty.
RESPONSIBILITIES:
- Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML Scientist and ML Engineer team.
- Translate department strategy into quarterly plans, milestones, and success criteria; keep the team on the highest-leverage work and adapt deliberately as priorities shift.
- Build the team: lead hiring across science and engineering roles, calibrate the bar for each craft, and shape onboarding, leveling, and growth practices.
- Develop the next layer of leadership: coach senior ICs (and managers, as the scope grows), manage performance with clarity and care, and create the conditions for people to operate above their level.
- Set the standard for how Health ML gets built: work quality, evaluation rigor, review practices, and an operating model that holds as people and workstreams change.
- Partner directly with Product (and with clinical, software, and Digital Health partners as the work requires) to align on roadmap, evidence, and sequencing; broker trade-offs between iteration speed, scientific integrity, and member value.
- Own the risk posture for the team: anticipate execution, technical, and people risks, design mitigation into how the team operates, and keep senior leadership clearly informed of the most consequential decisions.
- Define and own the operating model: planning cadences, design reviews, decision forums, and quality gates appropriate to member-facing health ML.
- Build and continuously raise AI-enabled workflows that create measurable leverage across the team, for development, evaluation, documentation, and stakeholder communication.
- Represent the team's work credibly to executive and cross-functional audiences with brevity, evidence, and clarity.
QUALIFICATIONS:
- 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams.
- Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred.
- Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them.
- Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes.
- Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain.
- Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work.
- Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence.
- Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction.
- Depth in a Health domain WHOOP already works preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work).
- Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable.
- Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes regulated health features preferred.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
УдалённоseniorRemote (Canada)
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