Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
This role owns how Higgsfield measures its product - from the first sign-up to whether people come back.
You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing.
You make sure:
- Every product decision has a number attached to it before it ships and after it ships
- Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work”
- The events the product emits can be trusted; you own the definition, not just the query
- A PM gets an answer in hours, not next sprint
You are the person who decides what “it worked” means.
WHAT YOU WILL DO
Product measurement
- Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment.
- Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack.
- Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it.
- Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it.
Experimentation
- Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics.
- Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity.
- Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud.
Product & monetization analysis
- In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups.
- Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model.
- Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.”
- Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters.
Making it usable
- Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive.
- Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts.
- Automate recurring reporting so your hours go to new questions, not refreshes.
- Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
We're looking for an analyst with opinions.
You should have:
- Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help.
- Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily.
- Real experimentation experience: you have designed tests, run them, and killed features with the results.
- Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win.
- Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits.
- The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact.
- Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Product analysts from consumer subscription or PLG products
- Growth/BI analysts who moved into product and stayed
- Early-startup analysts who built product measurement from zero
- Data scientists who got tired of models and want decisions
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Wait for a ticket to tell you what to analyze
- Want to build models more than you want to change decisions
- Need a data engineering team and clean tables to exist before you can start
- Would report a lift you don't believe in because a stakeholder wants it
- Need perfect data before you can say anything useful
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
Requirements
2+ years with Python including strong knowledge of data libraries (pandas, multiprocess, Google Cloud SDK)
2+ years of experience in ETL/ELT technologies (REST API, GraphQL, DBT, etc. ) and data pipeline orchestration (e.g., Airflow, Astronomer, DBT cloud, etc)
Hands-on experience with Snowflake
Problem-solving and root cause analysis in live production systems along with experience querying and transforming large volumes of data, data quality and data validation
Experience in SQL (SQL Server, Oracle, MySQL, BigQuery, Snowflake)
Comfortable working with serialized data format (JSON, AVRO, XML, CSV) as well as compressed and encoded files
Comfortable with ingesting data using REST APIs, data transformations and data loading/unloading techniques
English proficiency sufficient to work in an international environment
Nice to have
Capable of designing and implementing data pipelines over cloud architecture
Experience working with CI/CD deployments
Experience working with GIT
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota;
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Anna
hh@itransition.com
Location: Singapore
Workplace: Remote
- The Role
As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts across Greater China. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard — and your job is to design something that satisfies all of them and then prove it at production scale.
This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required — technical depth is non-negotiable.
What You Will Be Doing
- Own the technical evaluation for enterprise accounts across Greater China — from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload.
- Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room.
- Design for production scale — sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am.
- Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce.
- Own the migration plan — sequencing, dual-run, validation, and cutover — so the customer's team can see exactly how they get to production.
- Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, data residency requirements, and BYOC or private deployment requirements.
- Partner closely with Enterprise AEs to progress and close opportunities — you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together.
- Advocate for customer needs internally with Product and Engineering — you're the voice of the technical buyer inside ClickHouse.
- Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working.
What You Bring
- Professional fluency in Mandarin and English, written and verbal. You can run a deep technical workshop in Mandarin and represent the same architecture to a global internal audience in English.
- Deep technical foundation in data infrastructure — built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect.
- Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them.
- Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load.
- Fluency across the modern data stack — Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure, Alibaba Cloud, Tencent Cloud) at architecture level.
- Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard.
- Customer-facing experience with real stakes — pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers.
- Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon.
- Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall.
- Willingness to say ClickHouse isn't the right tool for a given workload when that's true.
Bonus Points for:
- Experience selling or supporting technical sales into the Greater China market
- Familiarity with the local cloud and data ecosystem (Alibaba Cloud, Tencent Cloud, Huawei Cloud) and how enterprises there build around it.
- Open source community experience, including engaging developer and engineering audiences in the region.
- Experience effectively working remotely in a global, distributed organization..
#LI-VR1
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Ukraine; Romania; Pakistan; Georgia; Bulgaria; Canada; Egypt; Serbia; Azerbaijan; India; Indonesia; Germany; Kazakhstan; United States; Spain; Netherlands; Armenia; Hungary; United Kingdom; Portugal; Moldova; Philippines; Poland
Workplace: Remote
ABOUT ISPEEDTOLEAD
iSpeedToLead is a two-sided real estate lead marketplace operating across the United States. Sellers of motivated-seller leads list on one side, and real estate investors buy on the other. We are a bootstrapped, profitable product company with an engineering and analytics team that ships fast and makes decisions from data rather than opinion.
ABOUT THE ROLE
This is the first dedicated Customer Success hire at iSpeedToLead. Today, buyers are supported reactively: tickets get answered, credits get issued, and nobody owns what happens to an account between its first purchase and its last one.
You will own the post-purchase relationship with our buyers. That means onboarding them properly, keeping high-value accounts healthy, and turning churn from something we observe into something we manage. You will build the function itself (playbooks, health scoring, reporting) rather than inherit it.
One thing worth stating openly before you apply: the workload is around 50 hours a week for the first 6 to 9 months while the function is being built. We would rather you decline now than discover it in month two.
KEY RESPONSIBILITIES
Onboarding and activation
- Own the onboarding of new buyers end to end, from first purchase to first repeat purchase.
- Run onboarding calls and follow-ups, making sure every new buyer understands how to filter, buy, and work leads effectively.
- Design and maintain the onboarding sequence (content, timing, channel) and improve it based on what actually converts.
Account health and retention
- Manage a book of high-value accounts with regular check-ins, usage reviews, and proactive outreach.
- Build and maintain a health-scoring model that flags at-risk accounts before they churn, not after.
- Run save conversations on at-risk accounts and document what worked, by reason code.
Escalations and problem-solving
- Act as the escalation point for buyer complaints, including lead quality disputes, refund requests, and billing or balance issues.
- Coordinate with support, sales, and engineering to resolve issues, and follow through until the customer confirms resolution.
- Operate within agreed refund and credit authority limits, and defend those decisions with data.
Voice of the customer
- Collect, categorise, and quantify churn and refund reasons, turning anecdotes into a ranked list.
- Deliver a weekly written report to product and leadership on retention performance and the top issues driving cancellations.
- Advocate for the product changes that would remove recurring causes of churn.
Process and reporting
- Build the Customer Success playbooks from scratch: onboarding, save, win-back, and escalation.
- Maintain accurate account records and interaction history in our systems.
- Report on retention metrics weekly, and own the definitions behind them.
Collaboration
- Work daily with sales on the handoff of new buyers, and with support on ticket patterns.
- Partner with product and analytics on lifecycle experiments and instrumentation.
REQUIREMENTS
- 2+ years in Customer Success, Account Management, or Retention in a high-volume, low-ACV environment such as a marketplace, self-serve SaaS, or transactional product with hundreds of accounts. (Enterprise CSM experience with a handful of large logos is a different job and will not transfer well here.)
- Demonstrated ownership of a retention, churn, or repeat-purchase metric. You can describe what it was, what you changed, and what it became.
- Comfortable working with data: SQL basics or strong BI fluency (Amplitude, Metabase, Looker, BigQuery, or similar). You pull your own numbers rather than requesting them.
- Experience building a process from zero, such as an onboarding flow, a save playbook, or a health-score model. Executing someone else's process is not the same thing.
- Written and spoken English at C1 level, customer-facing, at volume.
- Confident on the phone with US small-business customers. Our buyers are real estate investors: direct, busy, and blunt.
- Practical use of AI tools in your daily workflow (call summarisation, drafting, triage) with examples you can show.
- A minimum of 4 hours of daily overlap with US Eastern Time.
NICE TO HAVE
- Experience in real estate, proptech, lead generation, or a marketplace with wallet or prepaid-balance mechanics.
- Familiarity with Intercom, HubSpot, or a comparable CRM and support stack.
- Experience designing lifecycle email or automation flows.
- Ukrainian or Russian in addition to English.
WHAT WE OFFER
- Full ownership of a metric that shows up directly in the P&L, with no layer between you and leadership.
- A greenfield function. You design how Customer Success works here.
- Real data infrastructure and an AI-native team, so arguments get settled with numbers and tooling is not a fight.
- A clear 12-month growth path to Head of Retention or Head of Customer Success, including automation of the low-touch tier and one to two direct reports.
- Remote work with flexible hours inside the required US overlap.
- Referral bonus of USD 3,000 after probation for anyone you bring in.
Location: Huntsville, AL
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer
:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
When an LG refrigerator, washer or range breaks down in a customer's home, LG Electronics' Service organization makes sure it gets fixed. We're looking for a
Customer Service Analyst
to help us use data and AI to make those repairs faster, more reliable and easier for customers.
In this role, you'll find where repairs get stuck, learn why customers are happy or unhappy, and estimate how many technicians we'll need and where. You'll turn what you find into clear reports and recommendations that leadership acts on. Along the way, you'll see the whole repair journey, from a customer's first call to the finished repair and the follow-up survey.
The ideal candidate is curious, careful with numbers, and enjoys using data and new technology to solve real business problems.
Responsibilities:
Most of your time will go to answering real business questions with data, then explaining the answers simply. Here are some examples of what you'll do:
Track how our service is doing.
Keep weekly and monthly reports current on the numbers that matter most: how many days a repair takes, how often it's fixed on the first visit, and how many requests are still waiting.
Find out why the numbers move.
When repair times jump or satisfaction drops, you dig in. For example: do faster repairs really make customers happier? You'd match survey scores to repair times and analyze customer comments to find out.
Forecast repair demand.
Estimate how many repair requests each region will get in the coming months, combining our service history with public data such as weather and census figures. Leaders use these forecasts to decide where to place and hire technicians.
Use AI and automation to cut manual work.
Turn reports that are rebuilt by hand each week into dashboards that refresh on their own. Try AI tools, including generative AI, to speed up tasks such as cleaning data, sorting customer comments or drafting meeting notes.
Keep the data trustworthy.
Check that numbers match across sources before anyone uses them, fix the queries that feed our reports, and write simple guides so teammates can reuse the data.
Prepare leadership updates.
Build slides and summaries for business reviews, including monthly reports to LG headquarters in Korea, that lead with the answer and the recommendation.
Excel is the tool you'll use most, and SQL (Google BigQuery) comes next for pulling and checking data. If you're still learning SQL, that's fine, but expect to build it up quickly on the job. You'll also use Google Sheets, dashboards (Tableau, Looker Studio), PowerPoint and, for heavier analysis, Python.
Education / Experience (Requirements):
Bachelor's degree in Business, Economics, Data Science, Statistics, Mathematics or a related field
2+ years of experience in data analysis, business analytics or strategic planning
Fluent Excel skills: comfortable with basic formulas, pivot tables and building charts
Experience building reports or dashboards in a BI tool such as Tableau, Power BI or Looker Studio (formerly Google Data Studio)
Interest in, or hands-on experience with, using AI tools for analysis or automation — while verifying AI-generated results and being able to explain the logic and assumptions behind them
Problem-solving skills: you can take a vague question, break it into steps and find the answer in the data
Clear communication: you can explain numbers in plain words, in writing and in slides, to people who aren't analysts
Care for accuracy: you check that your numbers add up before you share them
Preferred Qualifications:
Advanced Excel skills: LOOKUP (VLOOKUP, XLOOKUP), pivot tables, formulas, charts, and Solver and what-if simulation
Korean–English bilingual: our work includes regular communication with LG headquarters in Korea
Experience with SQL or Python for analysis
Experience using generative AI tools to speed up analysis, coding or writing
Familiarity with cloud data platforms such as Google Cloud (BigQuery), AWS or Azure
Coursework or projects in forecasting, statistics, or survey and text analysis
Interest in customer service, operations or logistics
Recruiting Range
$70,000
—
$75,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Remote -- Romania
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a
Senior Data Analytics Engineer
who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
Write sophisticated, performant SQL to extract insights from large-scale datasets
Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
Develop internal tooling and automation using Python, FastAPI, and modern frameworks
Communicate findings clearly to technical and non-technical stakeholders-translate data into action
Understand and document data architecture, lineage, and how information flows across systems
Collaborate on business process analysis and process design improvements driven by data
Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
Requirements & Qualifications
7+ years of professional experience in data analytics engineering, data engineering, or a related field
Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
js experience - ability to build data-facing web applications and internal dashboards
Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
Excellent communication skills - you can explain complex analysis to anyone in the room
Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
A
public GitHub profile
with examples of your work (personal projects, contributions, experiments)
Nice to Have
FastAPI experience for building internal APIs and services
Background in business process design or operational analytics
Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Location
– Romania (remote)
Travel
- As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
Compensation
Salary Range
:
160,000 - 200,000 RON per annum (gross salary)
Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
MariaDB does not sponsor work visas or relocation.
MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Location: Remote - Bulgaria
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a
Senior Analytics AI Platform Engineer
who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
Write sophisticated, performant SQL to extract insights from large-scale datasets
Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
Develop internal tooling and automation using Python, FastAPI, and modern frameworks
Communicate findings clearly to technical and non-technical stakeholders-translate data into action
Understand and document data architecture, lineage, and how information flows across systems
Collaborate on business process analysis and process design improvements driven by data
Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
Requirements & Qualifications
7+ years of professional experience in data analytics engineering, data engineering, or a related field
Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
js experience - ability to build data-facing web applications and internal dashboards
Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
Excellent communication skills - you can explain complex analysis to anyone in the room
Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
A
public GitHub profile
with examples of your work (personal projects, contributions, experiments)
Nice to Have
FastAPI experience for building internal APIs and services
Background in business process design or operational analytics
Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Location
– Bulgaria (Hybrid, Sofia)
Travel
- As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
Compensation
Salary Range
:
30,000 - 38,500 Euro per annum (gross salary)
Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
MariaDB does not sponsor work visas or relocation.
MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Location: Georgia; Serbia; Cyprus; Armenia
GoMining is looking for an experienced SEO specialist ready to take their skills to the next level. This is a chance to work on genuinely challenging, large-scale projects alongside marketing professionals who are eager to learn from each other and grow. We expect you to work autonomously while staying aligned with the broader team and business agenda.
You'll report to the Head of Organic Acquisition, and you’ll coordinate closely with those functions to keep GoMining's brands represented consistently everywhere they're found — in search, in AI assistants, on social, and in app stores.
What you'll do
Design and execute large-scale SEO projects across an ecosystem of several websites, products, and brands — thousands of pages in total.
Build programmatic SEO: improve existing templates and propose new ways to scale pages, while safeguarding against the risks (thin, duplicate, or scaled content).
Build and maintain structured data and entity SEO — schema markup for FAQs, products, organization, and other relevant types — to strengthen how GoMining’s brands are represented in web search and AI.
Develop and improve automated SEO audits and drive identified issues through to resolution with the dev team.
Write and edit web copy that weaves in keywords, entities, and on-page optimization.
Manage GEO/AEO (AI search) initiatives: track and grow GoMining's citation and visibility across AI Overviews and assistants (Google AI Mode, ChatGPT, Perplexity, Gemini) using dedicated AI-visibility tools, and structure content so AI systems can easily extract and cite it (llms.txt, clear headings, FAQ schema, concise summaries).
Grow the backlink profile and brand visibility through external referral sources and digital PR.
Own ORM/SERM: monitor brand SERPs and tackle negative or misleading mentions, and track product reviews on review aggregators and in mobile app stores such as the App Store and Google Play. Build platform-specific strategies for how to solicit, respond to, and manage reviews on each selected platform/resource.
Translate SEO needs into PRDs and clear tasks for developers, and manage that backlog through to delivery.
Report on performance against agreed KPIs.
Requirements
2-5 years of hands-on SEO experience.
English B2-C1: comfortable working with English-language content, attending English-speaking calls, and communicating with English-speaking colleagues and partners.
Solid understanding of Programmatic SEO, with the ability to formulate technical tasks.
Working knowledge of SEO analytics: GA4 and Google Search Console as a baseline, plus Ahrefs and/or Semrush. Comfort with Data Studio for reporting. SQL or BigQuery is a strong plus.
HTML/JS/CSS basics, and an understanding of how both traditional web search crawlers and newer AI crawlers/agents interact with a website and its content.
Understanding of methods and purposes of SEO-related data processing: keyword research and mapping, intent classification, topic clustering, SERP analysis.
Practical knowledge of structured data/schema markup implementation.
Working familiarity with E-E-A-T and YMYL principles and what they mean in practice for a crypto/fintech content strategy.
Copywriting skills with an SEO-oriented vision: the ability to write and edit content that balances keyword and entity optimization, readability, and trustworthiness.
Working understanding of GEO/AEO and at least conceptual familiarity with AI-visibility tracking.
Knowledge of tools such as Screaming Frog, Data Studio, Ahrefs, and Semrush, and how they work together.
Decent project management skills: readiness for task tracking and reporting.
Understanding of, or experience with, multi-language/multi-market SEO — hreflang implementation, localized content strategy, etc.
Would be a plus
Deep experience in international SEO across multiple markets and languages.
Experience writing and editing longform content.
Coding or vibecoding skills (Python/JS), or readiness to pick them up, for building custom SEO tooling and automations at scale.
Experience in YouTube/video SEO, or a solid understanding of it.
Hands-on experience with AI-visibility/GEO tracking platforms, or building custom AI-citation tracking.
Prior SEO experience in crypto, fintech, or another YMYL vertical.
How we'll measure success
Organic traffic and its contribution to conversions/revenue across the ecosystem.
AI citation and recommendation share.
Technical health of the page inventory (Core Web Vitals, indexation rate, crawl efficiency).
Ranking visibility, CTR, average position.
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
Work-life fit: remote or hybrid format with flexible hours across international teams.
Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
Recognition programs: structured performance reviews and team awards.
Team culture: retreats in international locations (for example, company apartments in Cyprus).
Location: Seattle
Workplace: Remote
THE ROLE
As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard — and your job is to design something that satisfies all of them and then prove it at production scale.
Getting an enterprise team there usually means moving them off something else, so most of your work is making that migration credible: the architecture, benchmarks run against their own data, and a plan their engineers believe they can execute.
This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required — technical depth is non-negotiable.
WHAT YOU WILL BE DOING
- Own the technical evaluation for enterprise accounts — from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload.
- Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room.
- Design for production scale — sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am.
- Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce.
- Own the migration plan — sequencing, dual-run, validation, and cutover — so the customer's team can see exactly how they get to production.
- Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements.
- Partner closely with Enterprise AEs to progress and close opportunities — you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together.
- Advocate for customer needs internally with Product and Engineering — you're the voice of the technical buyer inside ClickHouse.
- Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working.
WHAT YOU BRING
- Deep technical foundation in data infrastructure — built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect.
- Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them.
- Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load.
- Fluency across the modern data stack — Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure) at architecture level.
- Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard.
- Customer-facing experience with real stakes — pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers.
- Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon.
- Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall.
- Willingness to say ClickHouse isn't the right tool for a given workload when that's true.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Hybrid - Palo Alto or San Francisco
📍 Hybrid,
Palo Alto or San Francisco (Hybrid – 2 days/week in office)
Reports to: Director Data Science + Analytics
Job Type: Full-time W2
About the Role
We are looking for a highly analytical and business-minded
Senior Data Analyst to design, build, and own the end-to-end analytical framework for our most critical operational asset: our clinician workforce. In this role, you will own the data ecosystem spanning the entire clinician lifecycle—from the moment a provider enters our recruiting funnel, through onboarding, credentialing, and state licensing, to their ongoing clinical performance, operational efficiency, and downstream business impact on patient retention.
You will develop performance frameworks that merge operational SLAs (e.g., on-time arrival, inbox turnaround times) with clinical quality and safety metrics. Additionally, you will lead our efforts in provider interaction analytics, creating evaluation and scoring logic to quantify qualitative behavioral dimensions, such as clinician empathy from consultation transcripts. Sitting at the intersection of Clinical Operations, Quality, Talent, Business Strategy, and Product, you will serve as the primary analytical partner to our Clinical Leadership and Executive team.
What You’ll Do
1. Clinician Lifecycle & Funnel Analytics
Recruiting & Onboarding Optimization:
Track and analyze the provider hiring funnel to uncover drop-off points, streamline time-to-hire, and improve conversion rates across clinical specialties.
Credentialing & Licensing Efficiency:
Build predictive frameworks and monitoring dashboards to reduce state-by-state licensing bottlenecks and decrease provider time-to-first-consultation.
Cohort Retention & Attrition Modeling:
Analyze first-year clinician retention trends, identifying early-warning indicators of burnout or regrettable turnover, and evaluating the long-term impact on operational capacity.
2. Operational Performance & Efficiency Metrics
Operational SLA Tracking:
Design and maintain performance scorecards tracking operational efficiency metrics, including appointment on-time start rates, EMR/EHR inbox turnaround times, chart completion speed, and panel utilization.
3. Clinical Quality, Safety & Interaction Scoring
Transcript & Empathy Analytics:
Establish scoring frameworks and evaluation logic to extract insights from visit transcripts. Quantify qualitative provider attributes (e.g., patient rapport, empathy, active listening) using sentiment and text analytics LLM tools.
Clinical Safety & Quality Alignment:
Partner with the Clinical Quality and Safety teams to incorporate chart audit scores and clinical safety compliance into unified provider scorecards.
4. Downstream Patient & Business Impact
Clinician Impact on Patient Retention:
Conduct causal and correlation analyses linking specific clinician behaviors, operational SLAs, and empathy scores directly to patient retention, net promoter scores (NPS), and long-term treatment plan adherence.
Executive Reporting & Strategic Guidance:
Translate complex provider performance data into clear executive dashboards and strategic frameworks that directly inform clinician compensation, training programs, and operational workflows.
What You Bring
Technical Skills
Advanced SQL & Data Modeling:
Expert-level SQL skills for querying, transforming, and modeling complex relational databases across disparate operational and EHR systems.
Python Proficiency:
Advanced skills in Python for statistical analysis, cohort modeling, survival analysis, and text/sentiment processing.
Data Visualization & BI:
Proven ability to design intuitive, executive-ready dashboards in modern BI tools (e.g., Looker, Tableau, PowerBI).
Text Analytics & NLP Awareness:
Familiarity with text mining, sentiment analysis, or prompt-based LLM evaluation frameworks for processing qualitative data (transcripts, chat logs, survey notes).
Modern Analytics Stack & AI Tools:
Experience with cloud data warehouses (Snowflake, BigQuery, Databricks) and active adoption of modern AI tools (e.g., LLMs for coding efficiency, automated insights) to accelerate analytics workflows.
Analytical & Domain Capabilities
Healthcare Operations Intuition:
Understanding of clinical operations, provider scheduling, EMR/EHR workflows (e.g., Epic, Athena, or proprietary telehealth EHRs), and clinical quality metrics.
Behavioral & Lifecycle Analytics:
Experience with cohort analysis, retention modeling, and constructing behavioral/qualitative scoring models.
Strategic Problem Structuring:
Ability to take unstructured business and clinical questions and translate them into rigorous, answerable quantitative frameworks.
Cross-Functional Influence:
Demonstrated ability to partner effectively with non-technical stakeholders, particularly Clinical Lead/Medical Directors, Operations leads, and Talent teams.
Experience
5+ years of data analytics experience delivering high-impact operational or workforce insights.
Healthcare Experience: Strong preference for background in Digital Health, Telehealth, Tech-enabled Medical Groups, or Health Operations. (Strong candidates with backgrounds in People Analytics/People Data Science with exposure to operational telemetry are also encouraged to apply.)
Bachelor’s or Master’s degree in Quantitative discipline (Data Analytics, Health Informatics, Statistics, Industrial Engineering, Economics) or equivalent practical experience.
Interview Process:
Recruiter Screen- 30 mins
Hiring Manager Screen- 30 mins
Technical Screen- 1hr
Panel Interviews- 3 hours + Lunch in Office in Palo Alto
At this time, Midi is
unable to provide visa sponsorship
. Candidates must be authorized to work in the U.S. without current or future sponsorship needs.
This is a full-time W2 position. The base salary range is 150-175K and will depend on experience. Midi pays a competitive base salary, plus equity and benefits.
While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥
https://www.youtube.com/watch?v=1px7i6MVjNg
#LI-PS1
At this time, Midi is unable to provide visa sponsorship.
All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an
@joinmidi.com
email address. We will
never
ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at
careers@joinmidi.com
.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our
CCPA Privacy Notice for California Candidates
here
.
Location: Brownsville, WI Corporate Office ; Green Bay, WI ; Madison, WI ; Milwaukee, WI ; Neenah, WI
Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Staff Data Product Manager can change yours.
The Staff Data Product Manager shapes Michels' enterprise data strategy and leads the effort to define, prioritize, and manage the data products that give the organization self-service access to trusted, reusable data. As a founding leader on the Enterprise Intelligence team, this person guides the standup and evolution of the enterprise data platform, working closely with stakeholders to understand their needs, identify high-value opportunities, and make deliberate investments that balance early wins with the durability, governance, and scalability required for the long term.
Ultimately, this
role
determines
how effectively data powers analytics, reporting, operational insight, and AI across the Michels Family of Companies.
Why Michels?
We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors
Our steady, strategic growth revolves around a commitment to quality
We are family owned and operated
We invest an average of $5,000 per employee on training each year
We reward hard work and dedication with limitless opportunities
We believe it is everyone’s responsibility to promote safety, regardless of job titles.
We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan):
Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan
Why you?
You thrive in fast-paced environments under tight deadlines
You enjoy collaborating and communicating with your teammates
You like to know your efforts are noticed and appreciated
You have strong time management, verbal, and written communication skills
Key Responsibilities:
Engage stakeholders across business and technology to surface pain points, clarify needs, and uncover where better data improves decisions.
Prioritize the highest-value opportunities, deciding which platform capabilities are worth enabling and which products are worth building and why to maximize business value as the platform is established.
Define curated, intuitive data products, including tables and semantic models, across all domains.
Translate business needs into actionable stories and acceptance criteria, then guide engineering through development, testing, and delivery.
Uphold quality and consistency standards so the data assets are documented, dependable, and suited for self-serve consumption.
Measure adoption and outcomes, using those signals to validate value and guide what comes next.
Qualifications:
Bachelor's degree in Business, Technology, Engineering, Computer Science, a quantitative field, or equivalent practical experience.
7+ years of experience in data product management, guiding cross-functional teams to deliver data products on a scalable cloud data platform for enterprise consumption.
Proven experience defining product roadmaps, requirements, user stories, and success metrics while guiding products or platforms through the full lifecycle from discovery through adoption.
Strong understanding of data management concepts including data governance, metadata, data quality, data lineage, and the principles required to build trusted and reusable enterprise data assets.
Exposure to leading cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, or similar technologies.
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs.
This role owns a core set of the platforms the field runs on. You'll administer, configure, and continuously improve them, build AI and automation on top of the CRM to keep it clean and current, and run the adoption programs that make sure the field actually uses what we put in front of them. We're an AI-native company scaling fast, and we want to add sophistication without adding drag — you'll be the person deciding how much system is enough.
This isn't a classic Salesforce admin role. You know the ecosystem, but you come at it as a builder and an orchestrator, not a ticket-taker.
Central RevOps is the systems and operations center of excellence for Baseten's GTM org. The stack includes Salesforce, Pylon, Outreach, Sales Navigator, Clay, and a growing set of AI-native GTM tools. The field is scaling fast, and the systems need to mature with it without slowing anyone down.
You'll co-own Salesforce with our other GTM Systems Manager and work alongside a GTM Engineering team who builds internal AI products for GTM productivity — plus partner closely with sales leadership and the field.
RESPONSIBILITIES
- Own adminship, configuration, and enablement for Pylon, Gong, Sales Navigator, Outreach, and Prospect. These platforms are yours end-to-end — configured well, enabled with the field, and continuously improved as needs grow.
- Run adoption, license forecasting, and vendor management for each of those systems. Own the adoption programs that get the field using them, forecast license needs ahead of growth, and manage the vendor relationships and renewals.
- Co-own Salesforce. Partner with our other GTM Systems Manager to keep the CRM configured for how sales actually runs, and act as backup for Deal Operations processes.
- Build AI and automation on top of the CRM. Stand up agents and automations that update and maintain the CRM — keeping data clean, current, and trustworthy without adding manual work.
- Drive adoption, not just deployment. Document what you build, enable the field, and measure success by whether people actually use it.
- Right-size the process. Add just enough structure to scale the company without slowing the field down. Have a point of view on where process helps and where it just gets in the way.
REQUIREMENTS
- 4+ years in GTM systems, RevOps, or sales/business systems — owning platforms and process end-to-end
- Experience building AI and automation on top of a CRM — you've built agents or automations that update and maintain CRM data, not just configured fields
- Hands-on adminship and configuration experience across a multi-tool GTM stack (support ops, engagement, prospecting, and enrichment tools)
- Working knowledge of the Salesforce ecosystem and data model — enough to co-own the CRM — without wanting to be a career admin
- A real appetite for enablement — you care whether the field uses what you build, and you'll run the adoption programs to make sure it does
- Experience owning vendor relationships, renewals, and license planning
- Judgment on process — you can tell structure that helps the field from structure that slows it down, and you right-size accordingly
- Experience in high-growth B2B technology companies, ideally scaling systems as the field grows fast
NICE TO HAVE
- Fluency with AI and automation tooling (Claude, Clay, n8n, or similar) as a builder, not just a user
- Familiarity with a data warehouse and BI environment (Sigma, Hex, BigQuery, Snowflake) on the data layer
- Hands-on experience with Pylon
- Exposure to Deal Operations, CPQ, or quote-to-cash processes as a backup or contributor
- You've inherited a sprawling, redundant stack and made it more intentional without breaking what works
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Brazil; Portugal
SUMMARY:
We are looking for a proactive Senior DevOps Engineer to join our GCP-based data streaming team. You will design, build, and operate real-time data pipelines, ensuring reliability, security, and cost efficiency.
We are looking for candidates who are as excited about pushing their development as they are about advancing our technology stack.
WHAT WILL YOU BE DOING:
You will become a key engineering team member, contributing significantly within a collaborative, autonomous, and cross-functional environment. Your role will involve assisting with the following:
Design, build, and maintain real-time data pipelines.
Ensure the reliability, security, and cost-efficiency of cloud infrastructure.
Collaborate with agile teams to deliver efficient solutions.
Implement and manage CI/CD pipelines using Google Cloud Build.
Automate infrastructure deployment using Terraform.
Maintain observability through metrics, logging, and tracing tools.
Resolve complex infrastructure issues proactively and efficiently.
Create detailed documentation, including runbooks and architecture diagrams.
Mentor team members through code reviews and pair programming.
WHAT WE ARE LOOKING FOR:
Strong Linux administration and troubleshooting skills (RHEL, Ubuntu, CentOS)
Strong networking knowledge (VPC, VPN, Peering, NAT)
Strong load-balancing expertise (HTTP(S), TCP/SSL)
Deep proficiency in Google Cloud Platform and its core services (GCE, GCS, Cloud Functions, App Engine, Cloud Run)
Advanced Terraform skills (module design, workspaces, state backends)
Extensive container and Kubernetes experience (Docker best practices, GKE, Helm)
Solid CI/CD expertise with Google Cloud Build (pipelines, triggers)
Proficient in IAM, organisation policies, and resource management
SQL skills for both transactional databases and BigQuery
Familiarity with data streaming and real-time processing (Pub/Sub, Apache Beam/Dataflow, Kafka)
Advanced scripting and programming (bash/zsh, Python with GCP SDK, Go)
Hands-on with observability tools (metrics, logs, traces)
Understanding of cloud security and compliance best practices
Troubleshooting mindset for resolving complex infrastructure issues
Strong communication and documentation abilities (runbooks, architecture diagrams)
Mentoring experience and aptitude for code reviews and pair programming
Experience working in Agile development environments, particularly in a Scrum framework.
Strong English communication skills, both written and verbal
AWESOME BUT NOT REQUIRED:
Familiarity with OpenTelemetry
Familiarity with Kyverno, Falco, and Teleport
Security-scanning and compliance automation (Trivy, Snyk)
Knowledge of serverless orchestration (Cloud Composer / Apache Airflow)
WHAT’S IN IT FOR YOU?
Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture
A culture in which we don’t criticise failure but ensure we learn from our mistakes
An Agile environment where your ideas are welcome
The possibility to grow and experience different projects
Ongoing Training & Mentoring
The possibility to travel (UK)
- ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL BASED ONLY
Location: Tbilisi, Georgia
Workplace: Hybrid
ABOUT THE ROLE
Pave Bank is a digital bank built for businesses that operate globally, with a client base concentrated in digital asset trading venues, payment providers, stablecoin issuers and fintechs. Our Commercial team owns the client relationship from first conversation through to ongoing revenue growth.
We are looking for a Data Analyst who will sit inside the Commercial team and turn client, transaction and pipeline data into decisions. This is not a reporting role where you wait for requests and return a spreadsheet. You will build the dashboards, the models and the internal tools that the Commercial team uses every day, and you will ship them yourself.
We expect you to work with AI as a default part of how you build. If you currently do everything by hand and see AI tooling as optional, this role will not suit you.
WHAT YOU WILL DO
COMMERCIAL ANALYTICS
- Analyse client revenue, transaction volumes, payment corridors and product usage to show where growth is actually coming from
- Build and maintain client profitability and unit economics models, including fee income, correspondent costs and FX spreads
- Track pipeline health, conversion rates, time to onboard and time to first transaction, and explain the movements behind the numbers
- Identify at risk clients through changes in activity patterns, and identify cross sell and upsell opportunities across the book
- Support pricing decisions with evidence, including scenario modelling for fee changes and volume tiers
- Prepare data for board, investor and management reporting, and be able to defend every number in it
DASHBOARDS AND REPORTING
- Design and own the the Commercial team's dashboard layer, covering revenue, pipeline, client activity and product adoption
- Move the team away from manual spreadsheets towards live, self serve reporting that people actually open
- Define metrics clearly and consistently, and document them so the definitions do not drift between teams
- Work with Operations, Finance, Compliance and Product to make sure the underlying data is trustworthy
TOOLING AND AUTOMATION
- Build internal tools that solve real Commercial problems, for example client scoring, pricing calculators, lead enrichment, reporting automation and data quality checks
- Deploy and host those tools on Google Cloud, and keep them running
- Automate recurring manual work in the Commercial workflow instead of absorbing it
- Write clean, documented, maintainable code that someone else on the team can pick up
AI ADOPTION
- Use Claude Code and similar agentic tools as your primary build environment for analysis, tooling and automation
- Build AI assisted workflows into Commercial processes, for example summarising client interactions, drafting first pass commercial documents and structuring unstructured data
- Set the standard for AI usage inside the Commercial team, share what works, and help colleagues adopt it
- Apply good judgement on where AI output needs human verification, particularly for anything client facing or regulatory
WHAT WE ARE LOOKING FOR
ESSENTIAL
- Minimum 3 years in an analytical role, ideally in fintech, payments, banking or a data heavy commercial environment
- Strong SQL, comfortable writing complex queries against large transaction datasets without hand holding
- Python for analysis and for building small applications and services
- Hands on experience with Google Cloud, including deploying and hosting an application, for example Cloud Run, Cloud Functions, App Engine, BigQuery, Cloud Scheduler
- Demonstrated experience building dashboards in a modern BI tool, for example Looker Studio, Metabase, Tableau or Power BI
- Practical, daily use of AI coding tools. You should be able to walk us through something you built with Claude Code or an equivalent agent, and explain what you delegated and what you reviewed yourself
- Advanced spreadsheet skills, including modelling and Google Sheets automation
- Strong commercial instinct. You care about why the number moved, not only what it is
- Fluent professional English, written and spoken, is mandatory. Our working language is English and you will present analysis directly to senior stakeholders and clients. Georgian is an advantage but not a substitute
NICE TO HAVE
- Understanding of payments mechanics, including SWIFT, SEPA, correspondent banking, card scheme settlement or stablecoin flows
- Experience with dbt, Airflow or similar transformation and orchestration tooling
- Familiarity with CRM data models and pipeline analytics
- Front end skills sufficient to build a usable interface, for example React or Streamlit
- Exposure to digital assets or a regulated banking environment
HOW WE WORK
- Small team, wide scope. You will own your work end to end rather than hand specifications to someone else
- AI first by default. We expect meaningful output volume from a small headcount, and AI tooling is how we get there
- Direct access to decision makers. Good analysis changes what we do, quickly
- Bias to shipping. A working tool used by the team beats a perfect design nobody uses
Location: JP - Tokyo, Japan
Summary
Scopely Explore (formerly known as Niantic) seeks a Software Engineer to design and build the data infrastructure and experimentation platforms that power our mobile games. You will develop systems that help game, product, analytics, and engineering teams run trustworthy experiments, understand player behavior, and make better decisions at scale.
This is a hands-on technical leadership role. You will write production code, make foundational architectural decisions, and operate critical distributed systems while guiding the technical direction of the platform. Beyond individual technical contribution, you will help lead and grow the Data Infrastructure organization by aligning engineers and cross-functional partners, mentoring engineers, and driving multi-team initiatives from strategy through delivery. Depending on team structure and business needs, this role may also include formal people-management responsibilities. We seek creative engineers with excellent technical judgment, strong interpersonal skills, and an eagerness to embrace new technologies and AI-native development methodologies. Do you want to build the foundations that enable faster learning and better player experiences across Scopely Explore?
Responsibilities
You design, build, and operate scalable data infrastructure and experimentation systems for both general product experimentation and game-specific use cases.
You lead the technical design of capabilities such as experiment assignment, player segmentation, exposure logging, telemetry processing, metric computation, guardrails, and reproducible analysis.
You build reliable batch and streaming data pipelines using technologies such as Apache Beam, Apache Spark, Ray, Apache Flink, and Apache Kafka.
You design data platforms on GCP using technologies such as BigQuery, Apache Iceberg, Google Cloud Storage, Kubernetes, Airflow, and Terraform.
You remain hands-on throughout the development lifecycle, contributing production code and solving complex problems in distributed computing, streaming, orchestration, and storage.
You develop effective methodologies and guardrails for AI-assisted and agentic engineering, including context management, automated validation, evaluations, human review, and responsible adoption.
You use AI-native workflows across your end-to-end responsibilities, including architecture exploration, implementation, testing, code review, documentation, debugging, incident response, and platform operations.
You maintain ownership of the correctness, security, performance, and maintainability of all work produced with AI assistance.
You evaluate new technologies pragmatically and apply them where they materially improve engineering velocity, platform reliability, or experimentation quality.
You lead the technical direction and delivery of the Data Infrastructure, aligning engineers and cross-functional partners around shared priorities, architectural decisions, trade-offs, and multi-quarter execution plans.
You coach and develop engineers through mentorship, actionable feedback, and technical guidance, while fostering a collaborative, high-performing team culture and remaining hands-on in architecture and critical implementation.
Qualifications
You have a demonstrated ability to use AI-native workflows across the full engineering lifecycle while independently evaluating and validating their output.
You have extensive experience designing, building, and operating production data platforms or other large-scale distributed systems.
You demonstrate strong programming ability in one or more of Java, Python, Go, or Rust. Experience with Java or Python is especially relevant to this role.
You have deep experience with cloud data infrastructure, preferably GCP and BigQuery.
You understand distributed computing and have production experience with frameworks such as Apache Beam, Apache Spark, or Ray.
You have experience building real-time data systems with technologies such as Apache Flink, Apache Kafka, or comparable streaming frameworks.
You have experience with orchestration, container, and infrastructure automation technologies such as Kubernetes, Airflow, and Terraform.
You understand modern storage and lakehouse architectures, including technologies such as Apache Iceberg and object storage systems such as Google Cloud Storage.
You have experience building experimentation, analytics, telemetry, or data products used by multiple engineering and product teams.
You understand the foundations of trustworthy experimentation, including assignment, exposure tracking, metric definition, data quality, reproducibility, and statistical interpretation.
You have experience defining technical direction and driving complex, cross-team initiatives while remaining directly involved in implementation.
Demonstrated history of leading delivery of complex projects involving multiple engineers and cross-functional partners, from strategy and planning through launch and operational ownership.
Experience managing and developing engineering teams, including hiring, performance feedback, career growth, and fostering an effective, inclusive team culture.
You communicate clearly and work effectively with distributed, cross-functional teams.
You are proficient in English. Japanese proficiency is a bonus.
Important notes about this position
This position is based in Tokyo. While offering flexibility, regular attendance in the office three days per week is expected.
The coding requirement is not optional and will be tested during the recruitment process. Candidates must be able to design, implement, test, and reason about production-quality software.
The use of AI tools is allowed and may form part of the development workflow. Candidates must understand, explain, validate, and take responsibility for the resulting work.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: JP - Tokyo, Japan
Scopely Explore is seeking a highly motivated
AI Data Specialist/ Engineer
to join our Tokyo Studio, supporting
Monster Hunter Now
and
Pikmin Bloom
. This role will sit at the intersection of data engineering, AI tooling, marketing, live game operations, and product strategy.
Scopely Explore’s Tokyo Studio builds games that inspire people to explore the real world together.
Monster Hunter Now
brings players outside to hunt, craft, and grow stronger together, while
Pikmin Bloom
helps people find joy in everyday walking and real-world memories. As an AI Data Engineer, you will build the trusted data pipelines, AI-native tools, and automation systems that help our teams operate these games with more speed, rigor, and creativity.
Responsibilities
Partner cross-functionally with stakeholders across Product, LiveOps, Marketing, User Acquisition (UA), CRM, and Game Operations (including product managers, marketers, analysts, data scientists, engineers, and studio leadership) to identify and prioritize high-impact data and automation opportunities and translate ambiguous business needs into reliable AI-native technical systems.
Build and operate scalable data models, pipelines, semantic layers, and self-service data products using BigQuery, dbt, Looker, Airflow, and related cloud technologies.
Develop production-quality AI-enabled workflows using technologies such as LLMs, agents, retrieval-augmented generation (RAG) knowledge systems, evaluation frameworks, and human-in-the-loop review patterns to help teams investigate performance, detect anomalies, prepare decision briefs, and plan and evaluate campaigns.
Partner with Marketing to improve and automate workflows for audience segmentation, campaign performance, UA governance and execution, reactivation, event planning, and post-launch analysis.
Safeguard data quality and metric consistency across game, marketing, and executive reporting while promoting responsible AI use through appropriate evaluation, oversight, and human review.
Create reusable internal tools, patterns, and documentation that make AI accessible to non-technical teams while preserving trust, reviewability, and clear source-of-truth data. Contribute hands-on to Tokyo Studio’s broader AI operating model and help teams adopt effective AI-enabled workflows.
Use AI-assisted engineering tools responsibly by validating generated code and analysis through rigorous review, automated testing, and established quality gates (including linting, type checking, and CI) before production.
Qualifications
5+ years of experience in data engineering, analytics engineering, machine learning engineering, or a closely related role.
Deep expertise designing, building, deploying, and operating production data platforms across cloud data warehousing (e.g., BigQuery or Snowflake), data transformation and modeling (e.g., dbt), business intelligence and semantic layers (e.g., Looker), and workflow orchestration (e.g., Airflow), with demonstrated ownership of reliability, observability, data quality, performance, cost efficiency, and production troubleshooting.
Exceptional SQL skills and strong data-modeling fundamentals, including dimensional modeling, metric design, semantic layers, and scalable analytical data products, along with strong ability to write clean, maintainable production code for pipelines, automation, integrations, and AI-enabled workflows.
Hands-on experience building AI solutions for real business workflows, including LLM applications, AI agents, Model Context Protocol (MCP) or similar tool-integration layers, retrieval-augmented generation (RAG), prompt and tool orchestration, and model evaluation.
Strong judgment and hands-on experience establishing data-quality controls, consistent metric definitions, and responsible AI practices across data and AI-enabled systems (including reliability, privacy, access control, explainability, evaluation, and human review) and validating AI-generated code and analysis through code review and automated testing.
Experience building tools for and working directly with Product, LiveOps, Marketing, User Acquisition (UA), CRM, or Game Operations teams, with the ability to identify and prioritize high-impact opportunities and translate ambiguous business and operational needs into durable technical systems that teams can trust and reuse.
Experience building reusable internal data and AI tools and driving adoption among technical and non-technical users through documentation, training, and hands-on enablement, while contributing to AI operating models through shared standards, governance, ownership, and review practices across functions and regions.
Excellent business-level verbal and written communication in both English and Japanese.
Ability to work from Scopely Explore’s Tokyo office three days per week.
Plus If...
You enjoy helping teams become more capable by building practical systems that combine better tools, trusted data, and thoughtful automation to support faster, better-informed decisions.
You are passionate about games and player behavior, have experience with free-to-play mobile, live-service, or location-based products, and are familiar with real-world or social mobile games such as Monster Hunter Now, Pikmin Bloom, or Pokémon GO.
You have experience modernizing prototype or locally operated data workflows into reliable, scalable, cloud-managed production systems.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
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