Location: Mexico; Netherlands; Germany; France; United Kingdom; Israel
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
And now we are looking for a
Package Design Engineer
to join us as part of our team.
About Role
Be part of a team pushing the boundaries of semiconductor innovation by developing custom silicon solutions that power next-generation consumer and infrastructure products. You will contribute to technologies used at massive global scale, helping shape future hardware platforms with a strong focus on performance, efficiency, reliability, and system-level integration.
As a Chip Package Designer within the Silicon Integration team, you will develop package substrate designs for advanced 2.5D/3.5D packaging technologies used in high-performance ML and AI chips.
You will collaborate closely with Signal Integrity/Power Integrity (SI/PI), Thermal/Mechanical, Assembly, and PCB engineering teams to develop complex, high-performance substrate designs. The primary objective will be to optimize package substrate architecture for electrical performance, reliability, manufacturability, and assembly.
You will manage all major phases of the package design process, including routing feasibility studies, test vehicle development, product-level designs, design reviews, artwork export, DFM activities, and preparation of final manufacturing documentation.
You will also contribute to the evaluation and adoption of advanced chip packaging technologies within the broader silicon product development pipeline. Your work will directly support successful deployment of advanced computing systems in large-scale data center environments, helping optimize PPA (Power, Performance, Area) while improving overall system performance, power efficiency, and TCO (Total Cost of Ownership).
The broader AI and Infrastructure organization is focused on building next-generation computing platforms and infrastructure at exceptional scale, efficiency, reliability, and speed. These technologies support internal engineering teams, enterprise customers, and large-scale consumer-facing services worldwide.
The organization works across both hardware and software, including custom AI accelerators, advanced silicon platforms, AI infrastructure, large-scale networking, data center technologies, distributed computing systems, and systems research.
Work Environment
Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration.
As a qualified expert, You will:
Develop physical package substrate design of large form-factor package for ML high-performance computers (HPCs).
Develop and implement the methodology and CAD flow for efficient substrate design and enhanced productivity.
Manage and drive co-design initiatives across chip, package, and system levels, including securing production sign-off for package designs.
Collaborate closely with signal integrity/power integrity (SI/PI), thermal, and mechanical engineering teams to refine and optimize product package designs, test vehicles, and mock-up designs for product feasibility.
Define and document the requirements for the package substrate design and bill of materials (BOM).
We’re looking for you if you have
Bachelor's degree in Mechanical Engineering, Material Engineering, Electrical Engineering, Technology, Science, a related field, or equivalent practical experience.
8 years of experience in chip package substrate design using Cadence APD or Mentor Expedition.
Experience in chip package substrate layout, design verification, DFM and taping out for production.
Experience in design automation and scripting.
English — Upper Intermediate or higher.
Bonus points
Master's degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Experience in working with cross-functional teams including chip design, SI/PI, and PCB design teams.
Experience in 2.5D/3.5D advanced package design.
Experience in physical verification flow (LVS, DRC, connectivity).
Experience with CAD for creating simple mechanical drawings, such as package outline drawings (POD).
Ability to write scripts to customize elements of the Cadence or Mentor workflow.
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
About the problem space
AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working."
Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering.
Little more about the team:
You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place.
What you'll do
You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first.
Ship automated workflows end to end
Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't.
Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work."
Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring.
Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing.
Build the shared substrate as you go
Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance.
Build on the Data team's existing infrastructure rather than standing up parallel systems.
Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively.
Make the company fluent
Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns.
Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating.
Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows.
Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked.
Keep it safe and governable
Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment.
Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines.
What you'll bring
Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily.
Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable.
The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work.
A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making.
Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk.
Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are.
Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does.
Nice to have
SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling).
Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases.
Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis.
Change management experience across a distributed, multi-function company.
Interest in external evangelism — writing, speaking, podcasts, peer groups.
Base Salary based on level of experience
$310,000
—
$360,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
About the problem space
AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working."
Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering.
Little more about the team:
You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place.
What you'll do
You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first.
Ship automated workflows end to end
Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't.
Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work."
Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring.
Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing.
Build the shared substrate as you go
Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance.
Build on the Data team's existing infrastructure rather than standing up parallel systems.
Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively.
Make the company fluent
Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns.
Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating.
Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows.
Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked.
Keep it safe and governable
Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment.
Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines.
What you'll bring
Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily.
Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable.
The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work.
A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making.
Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk.
Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are.
Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does.
Nice to have
SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling).
Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases.
Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis.
Change management experience across a distributed, multi-function company.
Interest in external evangelism — writing, speaking, podcasts, peer groups.
Base Salary based on level of experience
$225,000
—
$265,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: San Francisco
We are seeking an experienced Technical Recruiter to partner closely with engineering leadership and drive a best-in-class hiring experience. The ideal candidate will have a proven track record as a full-cycle technical recruiter in high-growth environments. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting.
Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and technology landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signals others miss and to move faster than the market.
WHAT YOU'LL DO
- Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top technical talent at scale
- Use AI to sharpen every stage of the funnel, from drafting compelling outreach to mapping talent pools and identifying non-obvious candidates
- Manage the candidate experience throughout the recruitment process, providing timely feedback and updates
- Build strong partnerships with hiring managers to understand technical requirements and team dynamics
- Negotiate job offers and close candidates
- Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions
- Stay ahead of industry trends, emerging AI recruiting tools, and best practices in technical recruiting
WHAT YOU BRING
- 5+ years of full-cycle technical recruiting experience
- Experience working at a high-growth startup
- Proven track record of successfully placing top-tier technical talent
- Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement
- Fluency with varied Applicant Tracking Systems (Ashby preferred)
- Strong analytical and data-driven decision-making skills
- Proactive, flexible, with excellent communication and interpersonal skills
- Ability to thrive in a fast-paced, rapidly changing environment
Location: New York; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT GTM ENGINEERING:
GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal.
Like the infrastructure beneath the Magic Kingdom https://en.wikipedia.org/wiki/Disney_utilidor_system, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal.
We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform https://deepline.com/blog/gtm-ai-nyc-chris-modal to building agents for account research https://parallel.ai/blog/case-study-modal.
THE ROLE:
We’re looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you’ll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation.
WHAT YOU’LL WORK ON:
- Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM
- Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources
- Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context
- Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution
- Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment
- Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility
- Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy
- Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills
YOU MAY BE A FIT IF:
- You’re fluent in SQL and proficient in Python
- You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same
- You’ve built data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex
- You have hands-on experience with CRM architecture, integrations, and revenue or marketing operations
- You understand how leads, accounts, opportunities, and revenue move through a business
- You have high attention to detail and a habit of testing, documenting, and monitoring the systems you build
NICE-TO-HAVE:
- Experience with usage-based businesses
Location: Remote, Germany
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We are seeking a technical, entrepreneurial Commercial Account Executive to own new and expansion opportunities across commercial and mid-market accounts. You will manage the full sales cycle, from account prioritization and pipeline creation through discovery, technical validation, quantified value, pricing, negotiation, close, and expansion.
This is a full-cycle technical selling role, not a high-volume transactional one. You will keep the discipline in discovery, validation, and value that technical buyers expect.
What You Will Do
Prospect, qualify, and close new business across commercial and mid-market accounts.
Build and manage a healthy pipeline using direct outreach and the product, Marketing, BDR, partner, and customer signals available to you. You are accountable for pipeline quality and progression.
Lead opportunities from first meeting through technical validation, security and procurement, pricing, negotiation, and close.
Communicate MinIO's value to technical and business stakeholders, tying architecture to measurable customer outcomes.
Expand and retain assigned customers by identifying new workloads, capacity, use cases, and business units, and hand off cleanly to post-sale teams.
Use MEDDPICC or a comparable method, and keep accurate pipeline, forecasts, activity, and next steps in Salesforce.
Collaborate with Field Architects, Marketing, Customer Success, Product, and partners to deliver a strong customer experience.
Share what you learn in the field to help sharpen MinIO's commercial playbook as we evolve toward a hybrid product-led and sales-driven motion.
Your Skills and Experience
Three or more years of direct B2B SaaS or infrastructure sales experience with consistent quota achievement.
Evidence of sourcing and closing new customers and managing commercial or mid-market sales velocity.
Experience leading technical deals in the $50K–$300K+ range.
Familiarity with cloud-native technology, data infrastructure, object storage, AI/ML, lakehouse, analytics, HPC, or adjacent platforms.
Credibility with VPs of Infrastructure, Engineering leaders, Enterprise Architects, and related technical buyers.
A metrics-based approach to pipeline creation, qualification, value selling, forecasting, and negotiation.
Experience expanding accounts through cross-sell, upsell, and measurable customer value.
Comfort in an early-stage or growth-stage environment and strong cross-functional collaboration.
Object-storage, S3, or cloud-native experience.
Experience in a hybrid product-led and sales-driven motion.
Familiarity with Salesloft, Outreach, or LinkedIn Sales Navigator.
MEDDPICC, Force Management, or Challenger training.
Partner co-sell experience.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
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
Anthropic is seeking an Internal Communications Manager to serve as a dedicated communications partner to our go-to-market (GTM) organization – the teams responsible for selling and diffusing Claude into enterprises around the world.
Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners, anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence.
This role can be based in either San Francisco or NYC.
Responsibilities
Own the internal communications strategy for your portfolio within GTM, becoming an expert in the team's work and a trusted member of its leadership support team
Serve as an advisor to our Chief Commercial Officer and their team - helping them think through what to say and when, draft communications in their voice, and give them expert counsel
People manage a small team (one/two directs), supporting the global GTM org
Translate complex sales strategy and customer stories into narratives that land with employees across every function
Anticipate communications needs before they arrive (e.g. launches, customer wins, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along
Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them
Plan and execute internal fora like all-hands and AMAs with operational excellence
Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums
You may be a good fit if you
Are an exceptional writer with a particular talent for distilling complex concepts into plain English, with a nose for great storytelling
Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear
See the big picture and are able to connect individual team updates to company strategy and mission
Have a keen eye for organizational culture and can recognize authentic moments worth amplifying
Strong candidates may also
Have 15+ years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations)
Have worked at AI companies, frontier tech companies, or other organizations where the work moves faster than most people can follow
Have built or run internal communications programs during periods of rapid organizational growth
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:
$295,000
—
$345,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City Office
COMPANY DESCRIPTION
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
ROLE DESCRIPTION
As Growth Marketing Manager, you'll own how Tennr gets found, across paid channels (Google, LinkedIn, Meta, and The Trade Desk), traditional search, and the AI assistants our buyers increasingly ask first. Our buyers run DME suppliers, infusion centers, specialty pharmacies, and other provider organizations. They're operators, not software buyers. They search for specific problems, not product categories, and more of them now ask ChatGPT or Claude which vendors to consider. Learning how they search and what they respond to is the core of the job.
You'll know you're right for this if you've built a growth channel from scratch, think in pipeline rather than impressions, and want to own a number.
KEY RESPONSIBILITIES
- Search & Social: Run campaigns across Google, LinkedIn, and Meta (Facebook and Instagram), including keyword strategy, bidding, audience targeting, and landing page alignment.
- Programmatic: Own The Trade Desk, including audience selection, account-based targeting, and connected TV.
- SEO: Own keyword strategy, on-page and technical SEO, and organic growth. Focus on the low-volume, high-intent searches provider operators actually make, and build pages by specialty, workflow, and comparison intent.
- AEO: Make Tennr the answer when buyers ask AI assistants about referral intake, prior auth, and patient onboarding, by structuring owned content for LLMs and earning mentions on the third-party sources they cite.
- Measurement: Build the framework for CPL, CPQL, and pipeline contribution, and keep conversion signal clean so platforms optimize toward qualified pipeline.
- Pipeline Ownership: Carry a pipeline goal shared with Growth and Sales.
- Experimentation: Test new channels and new ways of working, including AI tools and Clay workflows, and decide what to scale.
- Cross-Functional Partnership: Work with Sales on target segments, Content Marketing on paid offers, and Brand and Design on creative.
QUALIFICATIONS:
- 2–4 years owning paid programs end-to-end, ideally at a B2B SaaS company. A management consulting background (MBB or similar) before that is a strong plus.
- Hands-on experience building enrichment and audience workflows in Clay.
- Quantitative fluency. You think in CPL, CPQL, and pipeline contribution, not clicks.
- Builder DNA. You've taken a channel from 0 to 1 and scaled what worked.
- Comfort with AI and a habit of experimenting with it, plus a clear sense of where it helps and where it doesn't.
- Creative judgment that sets you apart from a flood of AI slop. You can show campaigns you've run and explain the thinking behind them.
A PLUS IF YOU...
- Have run campaigns in The Trade Desk or another DSP.
- Have healthcare or healthtech experience.
- Have run Reddit, X, or trade media campaigns.
WHY TENNR?
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
- Free lunch! Plus a pantry full of snacks.
BENEFITS
- Beautiful new office at 345 Hudson Street
- Unlimited PTO
- 100% paid employee health benefit options
- Employer funded 401(k) match
- Competitive parental leave
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
We're looking for an Engineering Manager to lead a product engineering team at ClickUp. This is an open team placement role: you'll join a product team based on your strengths and our business priorities, rather than being hired into a single predefined product area. Across teams, the mandate is the same: build a strong team, ship useful product improvements, and take ownership of the quality and reliability of what you deliver.
Engineering Managers at ClickUp are hands-on. You'll lead from the front: reading and reviewing code daily, debugging production issues alongside your team, prototyping when it unblocks a decision, and shipping code yourself when the team needs it. Your technical credibility is how you earn trust, set the bar, and make good calls quickly.
You'll also own people management, delivery, and team execution. Working closely with product, design, and technical leads, you'll turn customer problems into clear priorities and achievable milestones. You'll develop engineers, make trade-offs explicit, and keep work moving without letting quality or maintainability become someone else's problem.
You'll also run an AI-native team. We structure work so AI agents can read it, route it, roll it up, and report on it. Progress and team health should be visible from real signals, with reporting available self-serve rather than dependent on status meetings. We want a manager who has used AI to remove busywork and improve how a team builds, and who can help engineers use it responsibly across planning, implementation, testing, and operations.
RESPONSIBILITIES
- Lead and develop a product engineering team. Own hiring, onboarding, mentorship, performance, and career growth, and build a team where expectations are clear and feedback is direct.
- Own delivery from planning through release and follow-through. Break work into clear milestones, manage dependencies, surface risks early, and make realistic commitments.
- Set priorities with product, design, and engineering leadership. Connect engineering work to customer needs and business outcomes, and make deliberate trade-offs between new features, reliability, and technical debt.
- Lead from the front technically. Stay close to the codebase: review PRs, dig into production issues, write code and prototypes when it unblocks the team, and know your systems well enough to spot risk before it ships.
- Drive architecture and implementation decisions with your technical leads and senior engineers. Bring real depth to design discussions, challenge assumptions with specifics, and make the call when the team is stuck.
- Run an AI-native team. Use AI tools and agentic workflows to improve planning, development, testing, triage, and reporting, while maintaining clear ownership and human review where it matters.
- Uphold a high engineering bar across design and code review, automated testing, performance, security, and maintainability. Build quality into delivery rather than treating it as a final checkpoint.
- Own the operational health of your team's product area. Establish appropriate monitoring, safe rollout practices, incident response, and on-call ownership, and turn production issues into lasting improvements.
- Collaborate across product teams and shared platform teams to resolve dependencies and deliver coherent customer experiences.
- Keep priorities, progress, risks, and decisions visible. Use evidence to improve team execution and product outcomes, rather than optimizing for activity counts.
REQUIREMENTS
- 6+ years of professional software engineering experience building production software, including substantial time as a hands-on senior engineer, with 2+ years managing an engineering team.
- You still code. You're comfortable working in a modern production codebase (TypeScript, Node.js, React, or similar), reviewing PRs with substance, and debugging across the stack.
- A track record of delivering customer-facing SaaS products or services, with ownership extending beyond launch to reliability, maintenance, and customer outcomes.
- Experience hiring, coaching, and developing engineers, including giving direct feedback, managing performance, and supporting career growth.
- Deep technical judgment. You can lead architecture discussions, evaluate trade-offs from first-hand experience, and hold a high engineering bar because you know what good looks like in the code.
- Experience partnering closely with product and design to define priorities, scope work, and deliver against clear milestones.
- A demonstrated ability to use AI tools and agentic workflows to improve engineering work and reduce manual coordination, with attention to correctness, security, and review.
- Comfort working through ambiguity, learning unfamiliar product areas, and making decisions with incomplete information.
- Clear communication and effective cross-functional collaboration. You make ownership, trade-offs, risks, and next steps easy to understand.
- Daily fluency with AI tools in your own workflow.
PREFERRED QUALIFICATIONS
- Recent, meaningful code contributions as a manager: features, fixes, tooling, or prototypes you shipped yourself.
- Experience managing engineers across frontend and backend, or leading delivery across multiple technical disciplines.
- Experience building and operating software at scale, including performance, reliability, safe migrations, and incident management.
- Experience in a fast-moving product organization, balancing customer-facing delivery with platform improvements and technical debt.
- Experience introducing AI-native or agent-driven workflows to an engineering team, with measurable improvements in quality or execution.
- Experience building collaboration, productivity, or workflow software, or products used by both individual users and enterprise customers.
- Experience leading distributed teams across time zones.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Montréal
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in!
We seek a Principal Network Engineer to serve as the technical lead for our enterprise network transformation. This is the highest-level individual contributor role on the Network Engineering team. You will design the Zero Trust Network Access framework, manage our Palo Alto Panorama environment, and make key decisions where complexity and security meet. You will work closely with the Senior Manager of Network & Cloud Infrastructure and partner with IAM, Cloud Infrastructure, and Security teams. Together, you will build a network that verifies identity, checks device posture, and enforces least privilege from edge to cloud! You will bring this project to a definitive close.
What You'll Do:
Act as the technical expert for the Network 2.0 ZTNA program — own the architecture, lead build reviews, establish engineering standards, and address any critical issues during implementation.
Build and validate the full ZTNA architecture across all primary and international sites — defining network zones, segmentation policy, and device posture requirements that eliminate lateral movement risk.
Manage Palo Alto Panorama at the platform level — template hierarchy, device group creation, policy distribution oversight, and configuration drift prevention across all on-premises and cloud-connected NGFWs.
Develop the AWS and Palo Alto Panorama cloud integration — detailing how cloud-native firewall policy, VPC topology, and on-premises ZTNA fabric combine within a unified enforcement plane.
Lead the Palo Alto Cloud Identity Engine (CIE) architecture (Year 2, joint with IAM): construct the identity-to-network enforcement model, compose the network zone taxonomy, and direct the IP-to-identity rule migration that phases out all IP-based user firewall rules.
Direct GlobalProtect architecture decisions — agent configuration, split tunneling policy, certificate trust chain, and version compliance standards upheld through Intune.
Develop and keep current the network architecture documents, decision records, and runbook library that the broader team relies on to carry out tasks. You establish the standard; the team adheres to it.
Lead the global site topology mapping effort by detailing all international sites. Define the tiered support model and produce the hardware refresh sequencing plan linked to the ZTNA rollout waves.
Partner with the Automation / Network Reliability Engineer to build self-healing policy frameworks, Panorama API automation patterns, and CI/CD pipeline standards for network configuration changes.
Represent Network Engineering in cross-functional architecture reviews alongside IAM, Cloud Infrastructure, Security, and Central Technology — you bring the network angle in conversations where enterprise architecture is decided.
What You'll Bring:
10+ years of enterprise network engineering with demonstrated depth in large-scale architecture building — not just operations.
Advanced knowledge of Palo Alto NGFW and Panorama — template hierarchy, device groups, security policy development, NAT, decryption policy, and multi-vsys environments.
Proven ZTNA architecture experience — you have built a ZTNA deployment, not just configured one; you understand the segmentation model, the policy logic, and the failure modes.
Comprehensive knowledge of GlobalProtect — covering agent architecture, gateway configuration, certificate trust, split tunneling policy, and troubleshooting issues across diverse endpoint types on a large scale.
AWS network architecture hands-on — VPC build, Transit Gateway, Direct Connect, AWS Network Firewall, and cloud-native connectivity patterns that integrate with on-premises enforcement.
Understanding of identity-to-network enforcement patterns — how identity signals (Okta groups, Entra device compliance, CIE) translate into firewall policy and how that architecture scales.
Grasp of SD-WAN concepts and Prisma SD-WAN or equivalent — intelligent path selection, application-aware routing, and WAN optimization in a multi-site enterprise.
Experience authoring network architecture documentation, design decision records, and engineering standards that other engineers can build against with confidence.
Ability to work independently as a reliable contributor with a senior manager. You build technical expertise so the manager can focus on the program. You operate without needing close supervision and do not cause it.
Clear communicator across technical and non-technical audiences. You can explain a zone segmentation model to a CISO and a Panorama template hierarchy to a junior engineer in the same afternoon.
Nice to Have:
Hands-on experience with Palo Alto Cloud Identity Engine (CIE) — integrating Okta or Entra group membership into NGFW policy enforcement.
Network automation depth — Python, Ansible, or Panorama API scripting for policy automation, compliance checking, or self-healing configurations.
Experience in GCP network configuration — VPC Service Controls, Cloud Armor, or hybrid connectivity models connecting GCP and on-premises ZTNA fabric.
Experience working in a multi-studio, multi-site entertainment or gaming enterprise with geographically distributed international infrastructure.
Active certifications: PCNSE (Palo Alto Certified Network Security Engineer), ZTNA specialist, or AWS Advanced Networking Specialty.
We are an Equal Opportunity / Affirmative Action Employer
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.
#StudiosWizards
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk.
You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control.
At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle.
What you'll do
Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration.
Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value.
Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step.
Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk.
Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning.
Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage.
Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment.
Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers.
What you'll bring
Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption.
Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery.
Technical fluency in one or more relevant areas, such as software testing, test automation, code coverage, continuous integration and continuous delivery (CI/CD), developer tools, DevOps, developer experience, quality engineering, or software delivery.
An understanding of how engineering teams build, test, review, and ship software, and the ability to work with engineers on test architecture, pipeline behavior, code changes, data, integrations, reliability, and scale.
Experience diagnosing technical problems and turning complex, noisy signals into clear user experiences and actionable workflows.
Experience exploring AI or agent-driven solutions for developer workflows, with the judgment to distinguish useful automation from unsafe or low-confidence actions.
Experience using customer conversations to understand problems and inform product decisions, communicating clearly in writing and conversation, and influencing across functions with shared ownership. You can work directly with developers, quality engineers, platform teams, engineering leaders, and executives, and move between strategy and implementation detail.
About the team
Our work brings together Product, Engineering, and Design, with input from Quality, Developer Experience, Customer Success, Support, and Product Marketing. We work directly with developers, quality engineers, and engineering leaders to understand their testing practices, validate ideas, and learn from how they use the product.
We give Engineering and Design clear customer context and room to shape solutions. Our decisions draw on customer evidence and measurable outcomes, and we revisit approaches that aren't creating value. You'll contribute to how we discover problems, prioritize work, and measure progress, as well as sharing product management practices with other product managers.
As part of GitLab's all-remote organization, we collaborate asynchronously across regions. Our work emphasizes transparency, written communication, and clear decision-making.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$168,000
—
$285,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: European Union
Workplace: Remote
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a Senior User Acquisition Manager to take full ownership of paid social acquisition for one of our products. Meta, Snapchat and TikTok are key channels for our product, alongside other paid social networks. This is a senior, hands-on media buying role with end-to-end ownership. You will own the whole paid social acquisition process: strategy, account structure, bidding, budget allocation, creative testing, measurement, scaling and account health. You decide what to test, what to scale and what to cut, and you are accountable for the results. We need someone who has scaled paid social at volume, who knows how to grow in a policy-sensitive niche, and who can operate independently on large budgets.
You will manage performance against real revenue data (CPA, ROAS, payback, LTV and cohorts), not surface-level platform metrics. We also work AI-first, and we expect you to use Claude and automation to move faster.
KEY RESPONSIBILITIES
- Own the process end-to-end: take full ownership of paid social acquisition across TikTok, Meta, Snapchat and other paid social networks: planning, launch, optimization, scaling, reporting and documentation.
- Lead on TikTok: own and scale TikTok as the primary acquisition channel, including account structure, campaign types (including Smart+ / automated formats and Spark Ads), bidding, optimization events and creative strategy.
- Scale spend profitably while holding payback, ROAS and CPA targets based on real revenue and customer-value data.
- Build and optimize account structure, conversion events, value-based bidding and budget allocation across paid social networks.
- Decide budget allocation across TikTok, Meta, Snapchat and other paid social networks, and find new scaling levers: audiences, formats, placements, campaign types and additional networks.
- Run a structured, high-velocity creative testing process with the creative team on all networks, with clear hypotheses and kill/scale rules.
- Manage signal quality: conversion events, event value, purchase optimization and attribution.
- Operate in a policy-sensitive niche: run acquisition within each platform's rules. Keep ads compliant, handle disapprovals, appeals and restrictions, and build prevention-first processes so issues are caught before launch.
- Protect account health: manage ad account structure, backups and recovery plans.
- Work with platform reps on betas, new campaign types and escalations.
- Diagnose drops and spikes quickly and act on them.
- Document tests, learnings and playbooks, and use Claude and automation to speed up builds, QA, reporting and optimization.
QUALIFICATIONS
MUST-HAVE EXPERIENCE
- 5+ years of hands-on paid social / user acquisition experience.
- Large-scale experience running paid social acquisition.
- Proven experience working in policy-sensitive niches and keeping accounts healthy while scaling.
- Strong hands-on TikTok, Meta and Snapchat Ads experience, scaling them profitably.
- Working experience across other paid social channels is a plus.
- Direct ownership of large budgets, ideally $1M+/month hands-on.
- Strong understanding of subscription / app economics: LTV, ROAS, payback windows, cohorts, high-value-user dynamics and value-based optimization.
- Deep policy and account health experience: disapprovals, appeals, restrictions, ad account bans and how to recover from and prevent them.
- Strong creative testing discipline and measurement rigor.
- Ownership mentality: you run channels end-to-end with minimal supervision and take responsibility for outcomes.
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Read more about it here: Independent Contractor Agreement https://docs.google.com/document/d/1dHF4ctKlez75whdn-ybUwP5d5Wr0BdwVrorrm_fM40Q/preview
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (45 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we are more than a team; we're a community united in pushing the boundaries of technology and innovation. Our combined passion fuels our ambition for excellence, driving impact that resonates around the globe.
We are an equal-opportunity employer and celebrate diversity, recognizing that a diversity of thought and backgrounds builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate based on race, ethnicity, religion, color, place of birth, sex, gender identity or expression, sexual orientation, age, marital status, military service status, or disability status. Join us and be part of a company that is crafting the future of technology across multiple industries.
Location: Tokyo, Japan
Location: Japan (Tokyo)
Type: Contractor (12 months to start)
Hours: 40 hours/week
Role Summary:
We’re looking for a contractor based in Japan to support the development and growth of OpenAI’s student community efforts in Japan and Korea.
This role will focus on building strong relationships with students and campus communities, supporting locally relevant community activations, surfacing meaningful student stories and insights, and helping establish the foundations for sustained student engagement over time.
About the Team
OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity.
The Community team focuses on finding exceptional power users of our tools and turning real usage into stories and signals that shape both product direction and how the world understands OpenAI. We do that by learning directly from users, then working together to package up insights and use cases into formats that can travel: playbooks, webpages, launch assets, event series and clear “here’s how people actually use this” guidance.
About the Role
ChatGPT and OpenAI’s broader tools can help students learn, create, build and solve problems in new ways. But for many, discovering meaningful ways to use AI can still feel like navigating a black box without an instruction manual.
The OpenAI community exists to bridge that gap by working directly with the people using our technology every day.
Our role sits across three core areas:
- Build direct relationships and channels with student leaders and their communities
- Amplify how these cohorts are actually using AI, enabling peer-to-peer learning and accelerating adoption through real examples
- Channel insights and feedback from these communities into our product and research teams
Our current student engagements serve as a key entry point for building long-term relationships with students and priority campuses—helping us identify emerging power users and support growing communities through authentic, student-led engagement.
The goal is for every participant to leave not only with an “I wonder if…,” but with the confidence to build with AI—and a community to learn alongside.
This role will report to the Community Lead, APAC and work closely with cross-functional stakeholders and our external agency partner to support the growth of OpenAI’s student community efforts primarily in Japan,and selected engagement efforts in Korea.
In this role, you will:
- Support the development and growth of OpenAI’s student community efforts in Japan, with opportunities to support relevant engagement efforts in Korea
- Identify, recruit, and onboard students to participate in our global OpenAI Student Collective program
- Build partnerships with student clubs and campus communities to host Labs
- Build and maintain strong relationships with students, hosts, and campus partners
- Coordinate communications, scheduling, logistics, and event execution; resolve issues and remove blockers
- Represent OpenAI on Campus
- Develop and maintain dashboards and systems to track events, performance, and program scale - including student participation and event engagement.
- Collaborate cross-functionally with internal teams to ensure alignment and follow-through.
- Source, review, and curate stories and use cases across events and online communities
- Publish progress updates and monthly recaps, highlighting key insights, risks, and opportunities
- Collaborate with the Community team to improve, maintain community resources, including guides, templates and checklists.
Qualification
Must have:
- 5 years experience building, managing or growing communities, ideally student or campus-based communities.
- Excellent execution skills, with the ability to operate in ambiguous, fast-moving environments.
- Ability to manage multiple workstreams at once, from onboarding and event coordination to story capture and reporting..
- Experience coordinating across multiple stakeholders and driving follow-through.
- Strong communication skills and the ability to build trust quickly with students, partners and internal teams.
- Comfort with tools like Slack, Google Docs / Sheets, Airtable or similar workflow systems.
- Willingness to travel for student community activations across Japan, and occasionally Korea where relevant
- Japanese language proficiency
Bonus:
- Active participation in tech and AI communities, with a strong understanding of how these ecosystems operate beyond top-line metrics
- Strong interest in AI and familiarity with how the space is evolving, including emerging product and agent experiences.
- Experience working with agencies and external partners.
- Strong relationships with student communities, clubs or universities in Japan and Korea
- Korean language proficiency
Location: Anywhere in France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🚀 THE CHALLENGE
- Alan is a leading European health insurer with over 1 million members across 4 countries (France, Belgium, Spain, Canada). At its core, Alan is a tech company that believes exceptional member experience is a competitive advantage: fast, empathetic, and reliable service at scale. As of Q1 2026, 40% of conversations are handled automatically.
- At the intersection of Care, Legal, Security, and Data Protection sits a set of topics that are as operationally complex as they are strategically critical: data breaches, GDPR rights requests, security incidents, legal complaints, regulatory reporting.
- We are looking for a Care Legal & Security Specialist to own these topics end-to-end: handling complex cases in close collaboration with Alan's Legal and DPO teams, building the processes and training that allow our ~300 Care agents to manage them with confidence, and identifying where AI and automation can reduce manual load. As Alan accelerates across four countries, what you build in France gets replicated in Spain, Belgium, and Canada: your work doesn't stay local.
- This is not a pure legal role, and it is not a pure ops role. You handle regulatory cases, improve the processes that prevent them from recurring, and scale what works across countries. You will be embedded within our Operational Excellence team, working in close collaboration with Care Ops and the Corporate Unit.
👨🚀 MISSIONS
1/ Operational run (60%)
- Handle complex security incidents, GDPR cases, and legal complaints escalated from Care agents, including CNIL notifications (drafted in close collaboration with Legal and DPO, within the 72-hour regulatory deadline), account takeover situations, Level 2 and Level 3 complaints, and incoming legal mail
- Manage interactions with external stakeholders (CNIL, Insurance Ombudsman, Signal Conso) with precision and within regulatory deadlines
- Own KPI monitoring and reporting for legal and security matters; organize yearly complaints reporting for Alan's Board; identify trends and escalate systemic issues to Product teams early
2/ Scalability: process, tools, and training (20%)
- Design and continuously improve workflows, escalation paths, macros, and help center content so Care agents can handle legal and security cases autonomously at L1 and L2
- Identify simplification and automation opportunities across legal and security operations, then collaborate with Care Ops and Product crews to deploy them, rather than solving each case manually
- Build and maintain training materials (case studies, Q&As, simulations), so Care Experts develop real judgment, not just process familiarity
- Ensure regulatory training completion across the team
3/ Globalization (20%)
- Translate processes, frameworks, and training materials built for France into resources that Care and Legal/Compliance teams in other countries can adopt
- Coordinate actively with counterparts in other countries to share learnings, align on best practices, and anticipate regulatory divergences
- Build shared resources so that when a new country goes live, the Care Legal & Security function isn't starting from scratch
To deliver on those missions, you will:
- Support Care Experts participating in the Legal & Security taskforce: build their judgment on complex and ambiguous cases, be the primary escalation reference for Care agents facing difficult legal or security situations
- Collaborate with the Corporate Unit Lead and Care Ops to shape the Care roadmap on legal and security topics; translate regulatory constraints into executable processes and surface operational insights that should inform policy or product decisions
⭐ YOU'LL EXCEL IN THIS ROLE IF YOU:
- Deliver reliably on high-stakes, deadline-driven cases with a real member-centric mindset
- Have at least 1-2 years of experience in one of the following: GDPR / privacy operations, legal complaints handling in a regulated sector, or compliance ops in fintech, insurtech, or health
- Communicate with precision and adapt to your audience, whether you're briefing a legal expert, aligning with a product team, or coaching a front-line agent. You get buy-in from agents and managers who didn't ask for a new process, and that's as important as designing the process itself
- Spot simplification opportunities and know how to turn them into projects: you identify what should be automated or redesigned, then drive the collaboration with Care Ops and Product to make it happen
- Are comfortable navigating regulatory frameworks (GDPR, complaint handling, CNIL) without being a lawyer; you know when to escalate and when to own it, and you're backed by Legal and DPO experts at Alan
- Are comfortable making judgment calls in ambiguous situations and moving forward without waiting for all the answers.
- Are fluent in French (C1+ written and spoken, essential for CNIL notifications, ombudsman responses, and legal correspondence) and proficient in English for internal Alan collaboration
No prior legal qualification is required but a background in law is a genuine plus. We are looking for operational rigor, strong communication, and the appetite to build something that scales.
For this opportunity, we are aiming to hire within the B-C level range.
🌍 HOW WE WORK
Location: You must be legally eligible to work from France.
Remote work: We offer remote work flexibility, but we value in-person collaboration.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Your job is to make sure every payout and transaction lands with the right person.
We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform.
This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch.
We are now looking for a
Backend Engineer (Golang)
to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one.
This role will be based in
London
,
UK
as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin.
What you'll do:
Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers.
Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout.
Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times.
Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer.
Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter.
Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team.
Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event.
Our expectations:
3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production.
1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly.
A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one.
Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar).
Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability.
Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality.
Nice to have
Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud.
Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path.
Background in Kotlin, Java, Python, or Node.js alongside Go.
Familiarity with cloud infrastructure (AWS, GCP).
Experience working across multiple brands, regions, or regulatory regimes.
What we value
A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output.
Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them.
A track record of owning a project or feature end to end, especially in fast-paced environments.
Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together.
An adversarial instinct. The best fraud engineers enjoy thinking like the attacker.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Berlin
Workplace: Hybrid
OUR STORY:
Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.
ABOUT THE ROLE
Taxfix recently launched its first products and services for self-employed people and
small and medium businesses in Germany. The B2B motions these products
need to scale have to be built from the ground up, with support from central
growth and channel experts: acquisition and onboarding, lead generation and
nurturing, sales, retention and expansion. In this role, your mandate is to
find, test and scale what works.
You own SE and SMB growth marketing end to end for Germany. You start from an
insight you found yourself and pick the few opportunities worth the time and
money. Before launch you set the success, kill and scale criteria and what done
means. Then you run the work yourself, or hand it to the expert best placed to
run it, read the result and decide whether to scale, iterate or kill.
Central specialist teams carry the established work, and you collaborate with
them: paid acquisition, CRM, marketing data and MarTech. You decide which
channels, segments and messages to test, and you build the growth loops nobody
at Taxfix has run yet. You work with the B2B product team, the B2B commercial
lead, Product Marketing and our Creative Studio.
WHAT YOU'LL DO
- Find the opportunities worth running. Turn customer conversations, sales
calls, funnel data and what you observe in the market into hypotheses and
experiments for SE and SMB growth. Rank them and run them. Pivot when an
experiment fails, and scale quickly when it works.
- Build multi-channel strategies. Build an experimentation engine, and use
its results to shape the multi-channel strategy for awareness and demand
capture across Taxfix's new B2B products. Central growth teams and channel
experts carry parts of the mix.
- Design how each product reaches its customers. For each growth loop,
decide the ICP segment to focus on, the channel and the message to test, how
the user flow and experience fit the loop, and the plan for scaling after the
first positive signals.
- Plan it, then run it yourself. Set success, kill and scale criteria before
launch. Build the prototype, landing page, content, onboarding flow or nurture
sequence with your own hands where that is fastest, and bring in central
experts where they do it better.
- Build B2B motions from zero to one. Acquisition and onboarding flows, lead
generation and nurturing, the handover to inbound sales, retention and
expansion loops. Several of these exist nowhere at Taxfix today.
- Read the results and make the call. Separate signal from noise at B2B
volumes, where samples start small. Decide to scale, iterate or kill, and turn
the read into recommendations for Product and commercial leadership.
- Use AI as an operating and growth advantage. Use AI to 10x your
effectiveness and your outcomes. Build your own prototypes, applets and tools
for the opportunities you run, and apply AI to discovery, analysis, content,
experimentation and repeating workflows.
- Steer budget where the evidence is thin. You hold the mandate to plan and
allocate budget for new B2B motions and growth loops.
WHAT YOU'LL BRING
- Strategist and operator in one person. You pick the opportunities and you
run them, to the standard you planned them to. Given the choice, you ship a
first version this week over polishing a plan for a month.
- 5+ years in B2B go-to-market. 5+ years of experience in B2B
go-to-market, growth, strategy or another go-to-market function, including
ownership of a product or business outcome.
- Zero-to-one experience. You took a new product, category, platform or
business line from the first growth-loop tests, through scaling, to a
multi-channel playbook.
- Close to the customer. You naturally stay close to our customers, talk to them, listen to sales calls and use customer insights to inform your decisions.
- Data literacy. You can define and interpret acquisition, activation, adoption,
retention, pipeline, conversion, revenue and product-usage metrics, and you
turn what you find into a decision.
- Agility and speed. You try new ideas all the time. When one fails, you
pivot. When one works, you move to scale it. Shifting priorities and tight
deadlines don't throw you off.
- Curious about B2B growth and AI. You follow the people and sources moving
both fields, and you can name what you took from them into your own work.
- Knowledge of the German market, ideally of how self-employed people and
small businesses buy. Fluent German is a big plus, not a must.
WHY TAXFIX?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- A generous learning budget to support your personal and professional development and guidance from our internal L&D experts.
- Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
- Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible.
- Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
- Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.
УдалённоMexico; Netherlands; Germany; France; United Kingdom; Israel
УдалённоleadRemote - Canada
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States; Experience leading distributed teams across time zones; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
География найма не уточнена
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorApplicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
Tokyo, Japan
ГибридГеография найма не уточнена
Budapest
We work across three companies and several time zones, so we move fast, but we succeed together; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
ГибридseniorBerlin
Все вакансии в одном месте - страница 12 · Job Hunters
