Who we are

Stensul is the Governed Creation™ Platform for enterprise marketing teams that need to create campaigns quickly, safely, and at scale. We bring creation, collaboration, and control together in one connected platform — combining AI-enabled creation, no-code production, embedded governance, and seamless integrations across the marketing tech stack. The result: faster output, lower costs, reduced risk, and work that stays consistently on brand.

At Stensul, we’re just as intentional about how we work as about what we build. We’re a people-first team that values inclusive collaboration, ownership, and continuous learning. If you thrive in a fast-paced environment and want to help define the future of marketing creation, we’d love to meet you.

Mission

Become a team player within the Security team by supporting log monitoring, incident response tasks and security automation. Collaborating with DevOps peers to ensure security best practices are followed for Cloud environment and deployment pipelines. Work closely with Revenue Operations to provide guidance on security configuration of their tooling. 

Competencies

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 3-5 years of experience in system security engineering, incident response or DevSecOps.
• Knowledge of security principles, best practices, and industry standards, such as NIST, ISO 27001, and CIS Critical Security Controls.
• Hands-on experience with security technologies, such as firewalls, IDS/IPS, SIEM, antivirus, and vulnerability scanning tools.
• Proven experience with incident response methodologies.
• Experience with cloud platforms, GCP, and common security controls within these environments, including container security.
• Familiarity with revenue operation platforms, such as Salesforce, and common security controls within these environments.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Strong documentation skills with attention to detail to effectively communicate security requirements and processes to technical and non-technical stakeholders.
• Analytical Profile
• Advanced English (Level B2 or higher)

Primary Responsibilities

• Monitor, investigate, and respond to security alerts and incidents, escalating significant incidents to senior analysts or management. 
• Design and build security automation mechanisms such as secure CI/CD pipelines with integrated SAST, DAST, SCA, IaC scanning, and container security.
• Perform vulnerability assessments, assist with remediation tracking, and support continuous improvement of the organisation’s security posture. 
• Maintain and improve operational security controls, including endpoint protection, access reviews, log monitoring, and cloud configuration checks to strengthen overall security posture.
• Configure, troubleshoot and maintain security infrastructure, software and hardware.
• Install software that monitors systems and networks for security breaches and intrusions. 
• Monitor systems for irregular behavior and set up preventive measures. 
• Educate and train staff on information system security best practices for monitoring and secure deployment.

What we offer

• A competitive compensation package that includes equity
• Company laptop and phone reimbursement.
• Flexible time off policy to balance your work and life in a way that suits you best
• Collaborative, transparent, and fun-loving office culture
• Being a part of an amazing, inclusive team that lives by our shared values and is committed to building the next phase of Stensul
• Open to hire in our Buenos Aires offices, or to work remotely

Given our teams are currently located in Buenos Aires City, Argentina, remote position candidates are required to be living within GMT-3 and GMT-1 location.

Stensul is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce.

If your experience is close (even if not a perfect fit) to what we’re looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Staff Analytics Engineer to join our Data Platform team! 

In this position, you will help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets. This role sits at the intersection of data engineering, analytics, and product, and is critical to enabling high-quality decision-making across the organization. You’ll partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. 

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Design, build, and maintain scalable data models that power analytics, reporting, and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent, trusted business definitions
• Build curated, analytics-ready datasets from multiple sources (event data, transactional systems, third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing, validation, and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive, well-documented data models
• Support and scale experimentation frameworks, including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development
• Help shape how the team uses AI-assisted analytics — enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models, metrics, and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions, versioning, and access controls
• Drive adoption of best practices in analytics engineering across the organization

You 

• 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
• Strong expertise in SQL (advanced querying, optimization, window functions, etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift
• Strong understanding of data modeling best practices (star schema, dimensional modeling, etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling, documentation, and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker, Tableau, Sigma, or similar
•  

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g., LookML, MetricFlow, Cube, Transform)
• Experience with event tracking tools (GA, Heap, Segment, CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow, Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g., Hightouch, Census)

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Want to help us help others? We’re hiring!

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes – for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join GoFundMe as our next Staff Machine Learning Engineer (Pricing). In this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. This role requires strong end-to-end execution and deep expertise in building production ML systems (data → training → online inference → measurement) with rigorous experimentation and monitoring.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job…

• Own end-to-end ML systems for pricing optimization, from problem framing and metric definition (e.g., donation yield, conversion, retention, LTV) to model development, launch, and iteration in production.
• Design and implement backend model pipelines including feature engineering, training, and evaluation.
• Build low-latency real-time inferencing services, including API design, caching strategies, model packaging, and deployment on Kubernetes.
• Collaborate with teams to develop instrumentation and event pipelines to capture user and campaign activity required for training and evaluation (e.g., impression/click/submit, donation amount, tip amount, recurring enrollment/cancellation), ensuring schema quality, lineage, and privacy-by-design.
• Apply causal and experimental methodologies to measure impact and avoid biased optimization, including online A/B testing design, guardrail metrics, sequential testing considerations, and counterfactual/causal approaches when needed.
• Develop optimization approaches appropriate for pricing-like problems, such as uplift modeling, bandits, constrained optimization, calibration, and multi-objective tradeoffs (e.g., yield vs. donor trust, short-term conversion vs. long-term retention).
• Establish ML operational excellence by implementing model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, rollback strategies, and incident response playbooks for pricing systems.
• Partner cross-functionally with Product, Engineering, Design, and Legal/Privacy stakeholders to translate business goals into measurable technical deliverables and ship safely.
• Mentor and set technical direction for other engineers and scientists through design reviews, architecture decisions, and shared best practices for production ML in monetization.
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems. (Full-stack experience—e.g., integrating with web clients and experimentation frameworks—is a plus.)

You…

• 7+ years of hands-on experience building and shipping production machine learning systems, with demonstrated ownership of backend services and ML pipelines in a high-availability environment.
• Strong proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, plus strong software engineering fundamentals (testing, code review, CI/CD, API design, performance, and reliability).
• Demonstrated experience in pricing/monetization or growth optimization domains preferred.
• Experience designing and deploying real-time model serving (sub-100ms to low-hundreds ms latency targets), including containerization, scalable inference, feature retrieval, and safe rollout strategies (canaries, shadowing, backward-compatible schema evolution).
• Strong data engineering fluency: building reliable datasets and features using SQL, Spark/Databricks, and warehouse technologies (e.g., Snowflake), with an understanding of event semantics, identity resolution, and data quality controls.
• Working knowledge of experiment design and causal measurement for monetization systems, including pitfalls such as selection bias, interference, and delayed outcomes; familiarity with uplift modeling, bandits, or constrained optimization is a strong plus.
• Experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and operating models in production.
• Ability to break down ambiguous, high-impact problems, define crisp interfaces and success metrics, and deliver iteratively with strong stakeholder communication.
• Strong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for ML-powered pricing systems.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
• Sense of humor is optional but appreciated.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.