Location: Canada
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
We are looking for a technical specialist who owns the performance of the Improvado website end to end: how it is found (SEO and GEO), how fast and healthy it is, and how well it converts visitors into pipeline. This is an analytics-driven, hands-on role for someone who is as comfortable in Google Search Console, GA4, and the browser dev tools as in a keyword report. Because the website is our main product-facing marketing surface, you will also shape how the product is presented on it. In practice, the role covers part of what product marketing would otherwise do.
What You Will Do
Technical SEO and GEO
Own the technical health of the site: crawlability, indexation, Core Web Vitals, page speed, structured data and schema, rendering, redirects, internal linking, and site architecture.
Optimize the site for AI search (generative engine optimization): make Improvado understandable, citable, and recommended in ChatGPT, Perplexity, Google AI Overviews, and similar engines.
Monitor visibility in both classic and AI search, and turn the findings into prioritized fixes.
Website optimization and conversion
Continuously improve page performance, UX, templates, and key conversion paths (demo requests, sign-ups, high-intent pages).
Plan and run experiments (A/B tests, template and layout changes, messaging tests) and measure their impact on conversions and pipeline.
Work with engineering, design, and external contractors to ship improvements to the website stack (CMS, CDN, caching, tracking).
Analytics and measurement
Build and maintain dashboards that connect organic and on-site behavior to leads, pipeline, and revenue.
Own tracking quality: events, attribution, and data accuracy across GA4, Search Console, and related tools.
Analyze data to find growth opportunities, and report findings in clear, decision-ready form.
Product and messaging input
Use search demand, AI-visibility, and on-site behavior data to guide positioning, messaging, and landing page strategy.
Work with stakeholders so website content reflects ICP needs and the product’s value propositions.
What We Are Looking For
Must have
3+ years in SEO and/or website optimization, with measurable results in organic growth or conversion.
Strong technical SEO skills and a good understanding of how websites are built, served, and rendered.
Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast.
Hands-on experience with GEO or AI search optimization, or a clear, demonstrable track record of working on it.
Strong analytics experience: GA4, Google Search Console, and BI or dashboard tools (Looker Studio, Superset, or similar). You build your own reports and draw conclusions from the data.
Proficiency with SEO tooling (Ahrefs, Semrush, Screaming Frog, or equivalents).
Ability to work effectively with developers, designers, and marketers in a distributed team.
Nice to have
B2B SaaS or marketing technology background.
Experience with Webflow or a similar CMS, plus basic HTML/CSS and JavaScript.
SQL or advanced spreadsheet skills; experience with AI-assisted or automated workflows.
Experience with CRO and experimentation platforms.
Exposure to product marketing, positioning, or messaging.
You are
Analytical, curious, and driven by measurable outcomes.
Self-directed and comfortable owning a channel without heavy supervision.
A clear communicator across time zones.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Canada; Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast; A clear communicator across time zones
Location: Montenegro
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
We are looking for a technical specialist who owns the performance of the Improvado website end to end: how it is found (SEO and GEO), how fast and healthy it is, and how well it converts visitors into pipeline. This is an analytics-driven, hands-on role for someone who is as comfortable in Google Search Console, GA4, and the browser dev tools as in a keyword report. Because the website is our main product-facing marketing surface, you will also shape how the product is presented on it. In practice, the role covers part of what product marketing would otherwise do.
What You Will Do
Technical SEO and GEO
Own the technical health of the site: crawlability, indexation, Core Web Vitals, page speed, structured data and schema, rendering, redirects, internal linking, and site architecture.
Optimize the site for AI search (generative engine optimization): make Improvado understandable, citable, and recommended in ChatGPT, Perplexity, Google AI Overviews, and similar engines.
Monitor visibility in both classic and AI search, and turn the findings into prioritized fixes.
Website optimization and conversion
Continuously improve page performance, UX, templates, and key conversion paths (demo requests, sign-ups, high-intent pages).
Plan and run experiments (A/B tests, template and layout changes, messaging tests) and measure their impact on conversions and pipeline.
Work with engineering, design, and external contractors to ship improvements to the website stack (CMS, CDN, caching, tracking).
Analytics and measurement
Build and maintain dashboards that connect organic and on-site behavior to leads, pipeline, and revenue.
Own tracking quality: events, attribution, and data accuracy across GA4, Search Console, and related tools.
Analyze data to find growth opportunities, and report findings in clear, decision-ready form.
Product and messaging input
Use search demand, AI-visibility, and on-site behavior data to guide positioning, messaging, and landing page strategy.
Work with stakeholders so website content reflects ICP needs and the product’s value propositions.
What We Are Looking For
Must have
3+ years in SEO and/or website optimization, with measurable results in organic growth or conversion.
Strong technical SEO skills and a good understanding of how websites are built, served, and rendered.
Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast.
Hands-on experience with GEO or AI search optimization, or a clear, demonstrable track record of working on it.
Strong analytics experience: GA4, Google Search Console, and BI or dashboard tools (Looker Studio, Superset, or similar). You build your own reports and draw conclusions from the data.
Proficiency with SEO tooling (Ahrefs, Semrush, Screaming Frog, or equivalents).
Ability to work effectively with developers, designers, and marketers in a distributed team.
Nice to have
B2B SaaS or marketing technology background.
Experience with Webflow or a similar CMS, plus basic HTML/CSS and JavaScript.
SQL or advanced spreadsheet skills; experience with AI-assisted or automated workflows.
Experience with CRO and experimentation platforms.
Exposure to product marketing, positioning, or messaging.
You are
Analytical, curious, and driven by measurable outcomes.
Self-directed and comfortable owning a channel without heavy supervision.
A clear communicator across time zones.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Poland
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
We are looking for a technical specialist who owns the performance of the Improvado website end to end: how it is found (SEO and GEO), how fast and healthy it is, and how well it converts visitors into pipeline. This is an analytics-driven, hands-on role for someone who is as comfortable in Google Search Console, GA4, and the browser dev tools as in a keyword report. Because the website is our main product-facing marketing surface, you will also shape how the product is presented on it. In practice, the role covers part of what product marketing would otherwise do.
What You Will Do
Technical SEO and GEO
Own the technical health of the site: crawlability, indexation, Core Web Vitals, page speed, structured data and schema, rendering, redirects, internal linking, and site architecture.
Optimize the site for AI search (generative engine optimization): make Improvado understandable, citable, and recommended in ChatGPT, Perplexity, Google AI Overviews, and similar engines.
Monitor visibility in both classic and AI search, and turn the findings into prioritized fixes.
Website optimization and conversion
Continuously improve page performance, UX, templates, and key conversion paths (demo requests, sign-ups, high-intent pages).
Plan and run experiments (A/B tests, template and layout changes, messaging tests) and measure their impact on conversions and pipeline.
Work with engineering, design, and external contractors to ship improvements to the website stack (CMS, CDN, caching, tracking).
Analytics and measurement
Build and maintain dashboards that connect organic and on-site behavior to leads, pipeline, and revenue.
Own tracking quality: events, attribution, and data accuracy across GA4, Search Console, and related tools.
Analyze data to find growth opportunities, and report findings in clear, decision-ready form.
Product and messaging input
Use search demand, AI-visibility, and on-site behavior data to guide positioning, messaging, and landing page strategy.
Work with stakeholders so website content reflects ICP needs and the product’s value propositions.
What We Are Looking For
Must have
3+ years in SEO and/or website optimization, with measurable results in organic growth or conversion.
Strong technical SEO skills and a good understanding of how websites are built, served, and rendered.
Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast.
Hands-on experience with GEO or AI search optimization, or a clear, demonstrable track record of working on it.
Strong analytics experience: GA4, Google Search Console, and BI or dashboard tools (Looker Studio, Superset, or similar). You build your own reports and draw conclusions from the data.
Proficiency with SEO tooling (Ahrefs, Semrush, Screaming Frog, or equivalents).
Ability to work effectively with developers, designers, and marketers in a distributed team.
Nice to have
B2B SaaS or marketing technology background.
Experience with Webflow or a similar CMS, plus basic HTML/CSS and JavaScript.
SQL or advanced spreadsheet skills; experience with AI-assisted or automated workflows.
Experience with CRO and experimentation platforms.
Exposure to product marketing, positioning, or messaging.
You are
Analytical, curious, and driven by measurable outcomes.
Self-directed and comfortable owning a channel without heavy supervision.
A clear communicator across time zones.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Spain
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
We are looking for a technical specialist who owns the performance of the Improvado website end to end: how it is found (SEO and GEO), how fast and healthy it is, and how well it converts visitors into pipeline. This is an analytics-driven, hands-on role for someone who is as comfortable in Google Search Console, GA4, and the browser dev tools as in a keyword report. Because the website is our main product-facing marketing surface, you will also shape how the product is presented on it. In practice, the role covers part of what product marketing would otherwise do.
What You Will Do
Technical SEO and GEO
Own the technical health of the site: crawlability, indexation, Core Web Vitals, page speed, structured data and schema, rendering, redirects, internal linking, and site architecture.
Optimize the site for AI search (generative engine optimization): make Improvado understandable, citable, and recommended in ChatGPT, Perplexity, Google AI Overviews, and similar engines.
Monitor visibility in both classic and AI search, and turn the findings into prioritized fixes.
Website optimization and conversion
Continuously improve page performance, UX, templates, and key conversion paths (demo requests, sign-ups, high-intent pages).
Plan and run experiments (A/B tests, template and layout changes, messaging tests) and measure their impact on conversions and pipeline.
Work with engineering, design, and external contractors to ship improvements to the website stack (CMS, CDN, caching, tracking).
Analytics and measurement
Build and maintain dashboards that connect organic and on-site behavior to leads, pipeline, and revenue.
Own tracking quality: events, attribution, and data accuracy across GA4, Search Console, and related tools.
Analyze data to find growth opportunities, and report findings in clear, decision-ready form.
Product and messaging input
Use search demand, AI-visibility, and on-site behavior data to guide positioning, messaging, and landing page strategy.
Work with stakeholders so website content reflects ICP needs and the product’s value propositions.
What We Are Looking For
Must have
3+ years in SEO and/or website optimization, with measurable results in organic growth or conversion.
Strong technical SEO skills and a good understanding of how websites are built, served, and rendered.
Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast.
Hands-on experience with GEO or AI search optimization, or a clear, demonstrable track record of working on it.
Strong analytics experience: GA4, Google Search Console, and BI or dashboard tools (Looker Studio, Superset, or similar). You build your own reports and draw conclusions from the data.
Proficiency with SEO tooling (Ahrefs, Semrush, Screaming Frog, or equivalents).
Ability to work effectively with developers, designers, and marketers in a distributed team.
Nice to have
B2B SaaS or marketing technology background.
Experience with Webflow or a similar CMS, plus basic HTML/CSS and JavaScript.
SQL or advanced spreadsheet skills; experience with AI-assisted or automated workflows.
Experience with CRO and experimentation platforms.
Exposure to product marketing, positioning, or messaging.
You are
Analytical, curious, and driven by measurable outcomes.
Self-directed and comfortable owning a channel without heavy supervision.
A clear communicator across time zones.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Portugal
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
We are looking for a technical specialist who owns the performance of the Improvado website end to end: how it is found (SEO and GEO), how fast and healthy it is, and how well it converts visitors into pipeline. This is an analytics-driven, hands-on role for someone who is as comfortable in Google Search Console, GA4, and the browser dev tools as in a keyword report. Because the website is our main product-facing marketing surface, you will also shape how the product is presented on it. In practice, the role covers part of what product marketing would otherwise do.
What You Will Do
Technical SEO and GEO
Own the technical health of the site: crawlability, indexation, Core Web Vitals, page speed, structured data and schema, rendering, redirects, internal linking, and site architecture.
Optimize the site for AI search (generative engine optimization): make Improvado understandable, citable, and recommended in ChatGPT, Perplexity, Google AI Overviews, and similar engines.
Monitor visibility in both classic and AI search, and turn the findings into prioritized fixes.
Website optimization and conversion
Continuously improve page performance, UX, templates, and key conversion paths (demo requests, sign-ups, high-intent pages).
Plan and run experiments (A/B tests, template and layout changes, messaging tests) and measure their impact on conversions and pipeline.
Work with engineering, design, and external contractors to ship improvements to the website stack (CMS, CDN, caching, tracking).
Analytics and measurement
Build and maintain dashboards that connect organic and on-site behavior to leads, pipeline, and revenue.
Own tracking quality: events, attribution, and data accuracy across GA4, Search Console, and related tools.
Analyze data to find growth opportunities, and report findings in clear, decision-ready form.
Product and messaging input
Use search demand, AI-visibility, and on-site behavior data to guide positioning, messaging, and landing page strategy.
Work with stakeholders so website content reflects ICP needs and the product’s value propositions.
What We Are Looking For
Must have
3+ years in SEO and/or website optimization, with measurable results in organic growth or conversion.
Strong technical SEO skills and a good understanding of how websites are built, served, and rendered.
Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast.
Hands-on experience with GEO or AI search optimization, or a clear, demonstrable track record of working on it.
Strong analytics experience: GA4, Google Search Console, and BI or dashboard tools (Looker Studio, Superset, or similar). You build your own reports and draw conclusions from the data.
Proficiency with SEO tooling (Ahrefs, Semrush, Screaming Frog, or equivalents).
Ability to work effectively with developers, designers, and marketers in a distributed team.
Nice to have
B2B SaaS or marketing technology background.
Experience with Webflow or a similar CMS, plus basic HTML/CSS and JavaScript.
SQL or advanced spreadsheet skills; experience with AI-assisted or automated workflows.
Experience with CRO and experimentation platforms.
Exposure to product marketing, positioning, or messaging.
You are
Analytical, curious, and driven by measurable outcomes.
Self-directed and comfortable owning a channel without heavy supervision.
A clear communicator across time zones.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Serbia; Georgia; Cyprus; Armenia
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for a
Senior CRM Manager
to join our team!
Your main tasks will be:
Generate hypotheses based on analytical data, customer journey maps (CJM), key business metrics, and lifecycle and loyalty metrics.
Create business specifications with measured potential business effects.
Launch experiments using classic CRM channels (email, app/web push, SMS) and on-product channels (pop-ups, banners, chats, etc.).
Analyze the results of the conducted experiments.
Taking ownership of one of the business's most valuable CRM initiatives (increasing retention of high ARPPU clients, preventing churn, etc.).
Proactively interact with key stakeholders, product managers, UX teams, development teams, and data analysts.
Initiating improvements to processes and products, launching new channels, and using unusual mechanics to achieve business goals.
We expect from you:
Experienced with CRM/CDP Systems, HTML, Google Sheets / Excel, Jira / Confluence, Any BI-systems
Understanding the main CRM metrics: OR, CR, CTOR, retention rate, churn rate, unsub rate etc.
High level of knowledge and experience working with key business metrics: revenue, ARPPU, LTV etc.
Strong command of both Russian and English (B2+) is a must.
Experience with SQL would be a plus
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
Location: Worldwide; Warsaw, Poland; Belgrade, Serbia; Tbilisi, Georgia; Yerevan, Armenia
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for Creative Producer
.
Your main tasks will be:
Drive the end-to-end creative production process for UA ads across Meta, TikTok and Google (from brief to final assets) for several products.
Translate data backed ideas into briefs that leave no room for guessing, yet empower executors to exercise controlled initiative and creativity.
Deliver clear feedback backed by reasoning and references. Effectively communicate the 'why' behind changes to persuade and inspire executors.
Contribute to the development of creative strategy using market analysis tools and internal UA reports.
Maintain the library of creative best practices and provide freelancers and external agencies with clear guidelines.
Partner closely with UA to translate performance needs into clear briefs, hypotheses, and creative testing plans.
Collaborate with designers, editors, and AI teams to deliver assets efficiently and at scale.
Align on priorities and timelines with relevant stakeholders to ensure smooth production and fast iteration loops.
We expect from you:
3+ years of experience in performance marketing creative production.
Portfolio of high performing creatives with significant UA spend.
Proficiency with AI tools for creative production (Nano Banana, Seedance, Veo, Kling).
Proficiency in understanding of classic production pipelines for UGC and AI-UGC content.
Solid understanding of UA metrics (CR, CPA, ROAS) and how creative impacts performance.
Excellent organizational, communication, and stakeholder management skills.
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro
CloudLinux
is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.
Check out our website for more information:
https://cloudlinux.com/
Imunify360
is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early.
We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a
Senior ML Engineer
who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy.
Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file.
What you'll work with:
Malware samples from production servers, with verdicts and analyst decisions
Years of signatures and detection rules
Customer-reported false negatives and false positives
Runtime behavior of code on live sites
Web-attack traffic
File metadata and how files spread across servers
Cleanup outcomes, including what came back
What you will do:
The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might.
Decide which files on a server deserve a closer look, within tight CPU and memory budgets
Tell malicious code from benign at fleet scale and a sensible cost per file
Generate detection signatures automatically from new campaigns
Catch malware that only looks malicious in context, such as phishing pages and script injections
Route each file to the right detection engine
Make cleanup precise so sites stay clean afterwards
Prove each model improves detection before it ships
How we work:
You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions.
Remote-first, async
across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default.
Hardware follows evidence:
Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data.
Agentic engineering:
Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output.
Close to ground truth:
You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team.
Ship gates:
No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours.
What you'll deliver:
You own the path from raw samples to a model in production, and the numbers that prove it helped.
First month:
A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs.
By month 3:
Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs.
By month 12:
Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling.
Requirements
What you bring:
5+ years building ML systems
that ran in production, including
2+ in an adversarial domain:
security, abuse, fraud, or spam.
Y
ou have trained and fine-tuned transformer models yourself
— data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs.
Classic ML depth:
gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM.
Evaluation discipline:
leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline.
Inference cost engineering:
you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4).
Strong Python, PyTorch and the Hugging Face stack; SQL
on large analytical tables (ClickHouse or similar).
Familiarity with PHP or JavaScript
, or willingness to pick it up working with our malware analysts.
You use AI coding agents
daily and can show how.
English at upper-Intermediate (B2) level or higher
, with particularly strong written communication for async work.
It is a strong plus if you have:
Web malware, webshells, phishing kits or WordPress security experience.
Models over code: AST or token features, code LLMs, graph models on program structure.
Malware clustering and similarity analysis.
Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning.
Go or Rust, for on-server inference.
Published work or talks on ML for security.
Benefits
What's in it for you?
A focus on professional development.
Interesting and challenging projects.
Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide.
Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
Compensation for private medical insurance.
Co-working and gym/sports reimbursement.
Budget for education.
The opportunity to receive a reward for the most innovative idea that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
Location: San Francisco, CA; Sunnyvale, CA
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
THE OPPORTUNITY
As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world.
This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap.
WHAT YOU WILL DO
- Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats).
- Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team.
- System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines.
- Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system.
- Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.
- Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar.
- Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences.
WHAT WE ARE LOOKING FOR
- Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain).
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
- Core Technical Skills: Strong proficiency in Python and/or C/C++.
- Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML.
- Full SW lifecycle experience: Demonstrated experience in taking research into production at scale.
- Technical Leadership Experience: Previous experience tech leading computer vision projects.
COMPENSATION & BENEFITS
The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
LOCATION & WORK MODEL
This role is based in our San Francisco or Sunnyvale office, with three days per week in office.
INCLUSIVE APPLICATION
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Vancouver, BC
Position Title:
Senior Concept Artist / 2D Artist
Studio/Department:
Ravenwake Games/Live Development
Employee Type:
Full Time, Regular
Location
:
Vancouver, BC/ Remote
Salary Range:
$95,000 - $115,000 CAD
Ravenwake Games is the newest studio within Enad Global 7, a global leader in video game development and publishing. Backed by iconic franchises such as EverQuest®, PlanetSide®, DC Universe™ Online, Dungeons & Dragons Online®, The Lord of the Rings Online™, Magic: The Gathering Online, and MechWarrior®, we draw on a legacy of genre‑defining experiences. We’re committed to delivering entertainment that inspires, engages, and unites players around the world. At Ravenwake Games, our mission is to craft immersive worlds that bring players together, build vibrant communities, and deliver unforgettable gameplay at every turn.
Job Summary
Ravenwake Games is seeking a visionary Senior Concept Artist / 2D Artist to help define the next generation of visual content for our long-running, hit MMORPG, DC Universe Online.
In this role, you will bridge the gap between classic comic book iconography and cutting-edge game development. You will collaborate closely with the Art Director, Lead Artists, and Design teams to craft iconic characters, vast environments, and stylized key art that honors the legacy of DC Comics while creating fresh, immersive experiences for our global player base.
Responsibilities
Visualize the DC Universe:
Design production-ready character turnarounds, costume variations, weapon concepts, and environments that encompass everything from the gritty streets of Gotham City to the cosmic expanses of Oa.
Define Style and Tone:
Translate complex design briefs and legendary comic lore into inspiring, functional 2D concept art that aligns with the established visual identity of DCUO.
Support the 3D Pipeline:
Create detailed orthographic callouts, material guides, texture breakdowns, and lighting keys to provide clear, unambiguous direction for 3D character, environment, and VFX artists.
Collaborate Cross-Functionally:
Partner with Designers and Animators to ensure that concepts meet gameplay mechanics, technical specifications, and engine performance constraints.
Mentor & Lead:
Provide constructive feedback and artistic guidance to junior and mid-level artists on the team to foster creative growth and maintain visual quality across the board.
Marketing & UI Support:
Create high-end promotional illustrations, loading screens, and visual assets for community and marketing updates when needed.
Requirements
Experience:
5+ years of professional experience as a Concept Artist or 2D Artist in the video game industry, with at least one shipped AAA or high-profile live-service title.
Comic Book Stylization:
A deep understanding of anatomical proportions, dynamic posing, dramatic lighting, and graphic storytelling traditions inherent to superhero comic book art.
Technical Mastery:
Expert-level proficiency in industry-standard software, including Adobe Photoshop and Procreate. Familiarity with 3D block-out pipelines (e.g., Blender, ZBrush) to aid 2D composition is a significant plus.
Adaptable Design Toolkit:
Exceptional versatility across genres—ranging from hyper-tech sci-fi and supernatural magic to gritty urban environments and stylized creature design.
Strong Communication:
Excellent collaboration skills, with the ability to articulate artistic choices and incorporate feedback from both internal leadership and external IP stakeholders.
Pluses
DC Lore Expert:
A passionate, deep-seated knowledge of DC Comics characters, storylines, and artistic eras.
MMO Passion:
Experience playing or developing live-service games, MMOs, or persistent online worlds.
UI/UX Familiarity:
Experience designing vector graphic elements or stylized iconography for game menus and interfaces.
We invite you to get in the game with us and help us make exciting experiences!
Be Aware of Fraudulent Recruiting Activities
Ravenwake Games
will never ask applicants for social insurance numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or through online messaging apps (WhatsApp, Hangouts). We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview.
**Ravenwake is an Equal Opportunity Employer.**
Location: Serbia, Worldwide
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for a Product Owner to own the paying customer's experience after purchase.
We're not looking for a task manager. We're looking for someone who will own a part of the product end-to-end, from hypothesis to results.
Your mission
You'll own what happens after a user pays: getting every paying customer to a quality match as fast as possible.
This is not a classic subscription-retention role, and it's not SaaS onboarding. We need someone who knows how to increase the share of customers who reach the value moment, through better activation, matching, relevance, and experience.
What you'll work on
— Getting offer volume right: making sure customers see neither too many nor too few options
— Improving the relevance of recommendations and building trust in what we show
— Increasing relevant invites to paying customers
— Raising the probability that a new customer forms a quality match in their first week
— Designing mechanics that bring users back into conversations (e.g. gamification, nudges, reminders)
— Understanding which matching parameters matter most for different user segments, and using segmentation, personalization, and data enrichment of offers to improve results
The quality of free members' communication itself is outside this role. Your focus is activation, matching, relevance, and experience.
How you'll work
— Find bottlenecks and growth points in the post-purchase journey using data, research, and common sense
— Turn ideas into clear, testable hypotheses with defined success metrics
— Work with engineers, designers, analysts, and data/ML specialists to ship fast and efficiently
— Manage requirements, priorities, and timelines for smooth, predictable delivery
— Run experiments, analyze results and product metrics, then iterate and scale what works
Who we're looking for
A B2C product person with hands-on experience in:
— Customer experience and customer journey design, activation, onboarding, or the first-session experience
— Discovery-driven products with a large volume of offers or listings
— Search or feed relevance, matching, or recommendation systems
— Segmentation, personalization, and enriching offers with data
Relevant backgrounds
Marketplaces and aggregators, dating and social discovery, real estate and classifieds, e-commerce with large catalogs, or any product built around discovery, matching, recommendations, or personalization.
We expect from you
— You know how to formulate hypotheses and define requirements
— You can drive delivery
— You know how to validate results and run A/B tests and other experiments
— You're comfortable with qualitative and quantitative product research
— You work well cross-functionally with designers, analysts, and engineers
— You understand product metrics and how to find growth opportunities
— You focus on results, not process
— You take ownership instead of waiting for direction
— You're comfortable with changing priorities
— You communicate clearly and directly
— You treat failures as learning, not setbacks
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
Location: Ukraine; Moldova; Albania; Kazakhstan; Montenegro; European Union; Serbia; Bosnia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a designer with strong motion, graphic, and AI skills to join our performance marketing (UA) team. AI is a core part of how we make ads, but it works alongside classic motion design, graphic design, and video editing. In this role, you’ll generate static and video footage with AI tools and bring them to a final result. You’ll work closely with the Lead Designer and Creative Producers on advertising campaigns across multiple platforms, turning ideas and performance data into creatives that scale.
KEY RESPONSIBILITIES
- Create static and video ads for our products on Meta, TikTok, and YouTube.
- Create static and video ads from concept to final result, using AI tools to speed up production.
- Stay up to date with Instagram and TikTok trends and adapt them into ad creatives.
- Generate AI video and images, and build AI workflows that speed up production.
- Propose your own ideas in creative team meetings.
QUALIFICATIONS
- 3+ years of experience as a 2D Graphic and Motion Designer.
- Proficiency in Photoshop, Illustrator, After Effects, Premiere Pro, and Figma.
- Strong skills in static graphics, motion design, and video editing.
- Solid knowledge of color theory, composition, and typography.
- Hands-on experience with AI image and video generators (Nano Banana, GPT, Seedance, Kling).
- Creativity and the ability to generate and develop new ideas.
- English language proficiency at B2 level.
- Portfolio showing your graphic and motion work, including AI-generated content (required).
NICE TO HAVE
- Experience in performance marketing, in a product company or digital agency.
- Experience creating complex animations: transitions, effects, compositing.
- Experience building AI workflows in node-based tools.
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Take-home Assignment
- Technical Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: London
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
ABOUT THE ROLE
We are looking for 3D Reconstruction Research Scientist to join our Research Team in London.
Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production.
You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models.
WHAT YOU’LL DO
- Conduct original research in computer vision, machine learning, and spatial AI.
- Design, implement, and evaluate novel algorithms for:
- 3D reconstruction
- Neural scene representations
- 3D Gaussian Splatting
- Geometric deep learning
- Structure-from-Motion (SfM)
- Meshing
- Feed-forward models
- Generative models
- Spatial foundation models
- Collaborate with research scientists and engineers to transition promising ideas into future products.
- Develop large-scale experiments and benchmarking frameworks.
- Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers.
- Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.
WHAT YOU’LL BRING
- PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered.
- A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas.
- Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc.
- Strong programming skills in Python and experience in PyTorch.
- Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar.
- Ability to independently drive research projects from idea generation through experimentation and publication.
NICE TO HAVE
- Experience with classical reconstruction tooling (COLMAP or similar).
- C++ or CUDA experience, and a feel for performance and on-device constraints.
- Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D.
COMPENSATION & BENEFITS
Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.
LOCATION & WORK MODEL
This role is based in our London office, with three days per week in office.
INCLUSIVE APPLICATION
We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: 🇧🇷 São Paulo / 🌎Remote
Workplace: Remote
A little bit about us:
We are Belvo, an open finance API platform with the bold vision of democratizing access to financial services in Latin America. We enable any financial innovator to access and interpret financial data, as well as initiate payments from their end-users accounts. We’re turning the messy complexities of the Latin American financial ecosystem into a modern set of tools to access and interpret data and move money in a seamless and secure way.
We’re a highly-technical, passionate, and driven team. We are more than 90 people and our team currently represents 20 nationalities. We have offices in São Paulo and Mexico City – while a large portion of us work remotely.
We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way.
Since starting our adventure in May 2019, we have raised $71m from the leading VC investors globally.
You can read more about our company here https://belvo.com/about/ and about our team and culture here https://belvo.com/careers/. Also, head to our blog https://belvo.com/blog/ for more news about what we’re building and how we work https://belvo.com/blog/category/working-belvo/.
About the team:
- We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack.
- Our products are built for developers, by developers. Technological excellence is at the heart of what we do.
- We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback.
- We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals.
- While we are global and remote-friendly, we also operate from our vibrant offices in CDMX and Sao Paulo. To accommodate the various time zones in which we are based, we ensure we’re always synced up for at least 3 hours per day.
- Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator.
The challenge
The Intelligence Squad is Belvo's AI enabler team. One part of the squad builds the platforms and patterns that let every team at Belvo ship AI. This role sits in the other part: turning the financial data and payments we aggregate across Latin America into models that make real decisions, who looks creditworthy, which transaction is fraudulent, what category a payment belongs to, whether an income statement checks out. That data drives real financial outcomes for the people and businesses on the other end, so the bar for rigor is high.
You'll be the data science reference in the squad. We're not hiring someone to execute a modeling backlog someone else wrote. We want someone who decides which problems are worth modeling, defines how we know a model is good enough, and raises the data science bar for everyone they work with. You'll be deep enough in statistics and ML to defend a modeling choice to anyone, whether this is a set of rules to simplify a problem or a complex model that you build. You'll be close enough to the business to turn a commercial problem into a modeling roadmap and a business case. And you'll be a strong enough engineer to take your models from notebook to production and own them there.
Responsibilities
- Model development and selection: Lead the design of statistical and ML models (classification, regression, ranking, NLP or LLM-based) for problems like risk scoring, fraud detection and transaction categorization. Choose approaches on their merits and defend those choices with data, not habit.
- AI-leveraged delivery: Use agentic coding and research tooling as a core part of how you work: exploring data, generating and testing feature hypotheses, scaffolding pipelines, writing the service around the model. We care about the decisions you ship, not hours at the keyboard, and we expect you to keep compressing the gap between the two.
- Feature engineering with business context: Work with Product and the business teams to figure out which signals in Belvo's financial data actually explain the outcome you're modeling, and translate an ambiguous business question into a well-scoped modeling problem.
- Productionization and ownership: Take models past the notebook. Build or shape the pipelines, APIs and services that run them reliably in production, and own them once they're live: monitoring, drift, retraining, and retirement when the evidence says so.
- Experimentation: Design and run experiments (A/B tests and offline evaluation) to confirm that a model change actually moves the metric it's meant to move.
- Cross-functional partnership: Work closely with Engineering, Data Research, Product, and the rest of the Intelligence Squad to ship end to end, and with stakeholders across the business to keep your models grounded in what actually matters to them.
- Business and customer partnership: Work directly with stakeholders and, when needed, customers. Translate ambiguous business questions into well-scoped problems, and explain trade-offs and impact clearly to non-technical audiences, executives included.
- Staying current: GenAI moves weekly. We expect you to be genuinely plugged in: model releases, papers, and tooling, to hold an opinion on what's real versus hype, and to bring the useful parts back to the squad as a demo, a doc, or a session for our company-wide AI Chapter.
- Framing the problem: Decide what's worth modeling. Push back when a rule, a heuristic, or a better data pipeline solves the problem without a model, and be willing to kill or retire your own model when the evidence says so.
This position may be for you if
- 5+ years of experience as a Data Scientist, Applied Scientist, or in a similar hands-on modeling role.
- You've owned models end to end in production, from framing the problem to monitoring it live, and you can point to the measurable business impact they had.
- You have a solid grounding in statistics and can explain how your models work at that level, not just how to call them.
- You've built and compared more than one type of model (for example tree-based methods, regression, deep learning) for the same problem and can justify why you picked the one you shipped.
- You're comfortable in Python for data science (pandas, scikit-learn, and at least one of TensorFlow or PyTorch) and in SQL for pulling and shaping your own data.
- You've taken several models you built into production yourself, not just handed it off to someone else to deploy.You http://deploy.You understand engineering fundamentals: testing, version control, CI/CD, and how to write code someone other than you can maintain.
- You've built with LLMs past the API-call level: tool use or agents, retrieval, structured outputs, and shipped at least one to production. You can explain how you knew it was good enough, which means you've built some form of evaluation, not just eyeballed outputs.
- Agentic coding tools are part of your daily workflow, not a novelty. You can walk us through a specific task that used to take you days and now takes hours: how you set it up, what you delegated, and where you still don't trust the output.
- You're proficient in written and spoken English.
Amazing if
- You've worked in fintech, financial risk, or another regulated data environment before.
- You have a business or strategy background alongside data science (an MBA, consulting, or a product/strategy role).
- You've worked in a customer-facing data science role, such as a forward-deployed engineer or a solutions/applied team at a data platform company.
- You've worked with MLOps tooling for model versioning, monitoring, and automated retraining.
- You've deployed models on AWS (for example SageMaker or an equivalent managed ML service).
- You've written evals or an LLM-as-judge harness for a non-deterministic system, and have opinions about where that approach breaks.
- You've used LLMs inside the data pipeline itself: labeling, extraction, categorization, and can say where they beat a classical model and where they quietly don't.
Tech stack
- Python is our primary language for data science and modeling (pandas, scikit-learn, and deep learning frameworks as needed).
- SQL against a cloud data warehouse for data access and feature work.Claude deployed company-wide and Claude Code for every engineer. Agentic tooling is part of how we work daily, not a side experiment.
- Cloud infrastructure on AWS, favoring managed services so you can focus on the modeling problem rather than infrastructure plumbing.
- An experimentation platform for A/B testing and offline evaluation.
- We use Datadog for service observability across the company.
- We follow Continuous Integration and Continuous Delivery best practices.
Our tech stack:
- We’re building our platform using modern technologies, putting the focus on reliability and long-term maintainability
- We primarily use Python on the backend. We use battle-tested technologies such as Django, and we are heavy users of Python’s asyncio for some parts of our stack
- We use Javascript, Vue.js and Sass on the frontend. We are developing and leveraging our own design system and component library
- We run our infrastructure on top of Amazon Web Services, leveraging managed services. We tend to favor the use of managed services wherever possible, in order to focus on our business problems
- We observe and monitor our services using Datadog
- We follow Continuous Integration and Continuous Delivery best practices
Our process steps:
At Belvo every hire is so important to us, that we share the decision to hire as a team.
- People team chat
- Take-home challenge
- Challenge presentation
- Team fit chat
- Meet the founders
Our perks:
🚀 Stock options (we are all owners and this is very important to us)
📈 Annual company bonus linked to company performance
🔆 Flexible working hours
🔝 Remote friendly
🐶 Pet friendly
👩🏻⚕️ Health Insurance
🎊 Paid time off on your birthday
💻 Renew your laptop every 3 years
🙋 Training Budget
😎 Team building events
🙀 Bank holidays swap within 30 days
🔋 Fitness/ wellness stipends
🚀 Yearly company offsite
🍒 Fresh fruit every week, all-you-can-drink tea and coffee
🏝 Extra days off accrued when completing 2, 3, 4 years and beyond at Belvo
🎳 Yearly department offsite
Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast; A clear communicator across time zones
Poland; Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast; A clear communicator across time zones
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Spain; Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast; A clear communicator across time zones
Portugal; Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast; A clear communicator across time zones
УдалённоseniorWarsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro; across UTC−5 to UTC+8
ГибридseniorSan Francisco, CA; Sunnyvale, CA
seniorГеография найма не уточнена
УдалённоSerbia, Worldwide
УдалённоUkraine; Moldova; Albania; Kazakhstan; Montenegro; European Union; Serbia; Bosnia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
ГибридLondon
УдалённоseniorTo accommodate the various time zones in which we are based, we ensure we’re always synced up for at least 3 hours per day
Все вакансии в одном месте - страница 2 · Job Hunters
