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🔥 Sr. Growth Product Manager

Posted 21 minutes ago

📍 Denver, CO

💸 160000.0 - 180000.0 USD per year

🔍 Mobile SaaS

🏢 Company: Branch Metrics

🔧 Requirements

At least 7+ years of product management experience, with 5 years of product experience directly related to growth and monetization
Proven track record in developing and executing growth strategies for various products
Experience in setting up and leading robust experimentation and A/B testing processes
Strong analytical skills and familiarity with metric-based product development
Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders and influencing business decisions
Demonstrated ability to be resourceful, curious, and innovative
Experience leading projects and teams
Proactive self starter with strong bias for action
Bachelor’s Degree in Engineering, Business, Design, Psychology, Marketing, or equivalent
Advanced degree in Business, Computer Science, Design, Psychology, or equivalent
Extensive experience in fast-growing, consumer-facing apps that have strong subscription growth.

💡 Responsibilities

Establish and execute the product vision for growth initiatives, building alignment across teams and leadership
Drive features through the full lifecycle: ideation, specification, development, release, and iteration
Build and prioritize the growth roadmap, balancing quick wins with long-term strategic initiative
Own key performance indicators that directly impact company goals, particularly around mobile user acquisition, adoption, and revenue
Establish a lightweight experimentation framework that drives rapid learnings and actionable insights
Design and execute A/B tests in collaboration with data science and engineering teams
Analyze user behavior data using mobile analytics tools to identify optimization opportunities
Develop and maintain growth models to track and forecast success metrics
Lead teams of engineers, designers, and data scientists to execute high-impact experiment
Partner with product designers to create engaging user experiences
Collaborate with marketing to align product features with acquisition and retention goals
Share insights and test results across teams to foster a culture of continuous improvement

SQL Data Analysis Product Management Cross-functional Team Leadership Product Development Product Analytics Analytical Skills RESTful APIs Data visualization Stakeholder management A/B testing

Posted 21 minutes ago

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🔥 Staff Software Engineer, Smart Trailer & Connected Equipment

Posted 28 minutes ago

📍 United States

🧭 Full-Time

💸 157360.0 - 281000.0 USD per year

🔍 Software Development

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
12+ years of experience in software design, development, and algorithm related solutions with at least 4 of those years in an architect or leadership role
Demonstrated ability to ship production-quality software in a dynamic environment
Expertise working with web services at massive scale deployed on Cloud providers such as AWS or Azure
Is an expert in writing high quality, performant and maintainable code in a modern programming language
Excellent communication, collaboration, and problem-solving skills, with a demonstrated ability to manage technical discussions.

💡 Responsibilities

Bring a customer-focused mindset to all development, balancing the need to iterate quickly and deliver customer wins iteratively
Partner with the Engineering Manager to advocate for long-term technical health of our products alongside the product priorities.
Act as a force multiplier on the team by leveraging other engineers and personally exemplify how to deliver value at Samsara
Mentor other engineers by actively participating in design and implementation conversations across the team
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

AWS Backend Development Leadership Software Development SQL Cloud Computing Software Architecture Algorithms Data Structures Communication Skills CI/CD Problem Solving RESTful APIs Mentoring Microservices Teamwork

Posted 28 minutes ago

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🔥 Principal Technical Support Engineer - Dutch Fluency

Posted 28 minutes ago

📍 UK, France, Germany, Netherlands, Poland

🧭 Full-Time

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

B.S. in Computer Science, Engineering (Mechanical/Electrical), or other Technical Field
Excellent written and verbal communication skills, you can speak both Engineer and Human.
Strong bias for action, ability to dive deep, and insistence on the highest standards.
Ability to work in a hyper-growth environment with shifting priorities.
Willingness to work flexible hours during nights and weekends as required.

💡 Responsibilities

Develops expertise in testing, analysis, and relevant product and technical domains
Ability to build & develop troubleshooting tools either independently or through partnership with L3 team e.g. build solution on top of Databricks
Synthesizes broad and deep Customer understanding to prioritize, engage & close out effectively.
Solves complex and diverse problems where analysis requires in-depth evaluation of factors with imaginative and innovative troubleshooting and experimentation (Problems may be previously unknown).
Creates positive, impactful changes to one's Team through quality collaboration, communication & leadership. Use your technical knowledge and product expertise to troubleshoot and resolve customer issues with medium to high complexity.
Provide direct feedback to Support Management for product and process improvements to help enhance the customer experience.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

AWS GraphQL SQL Bash Data Analysis Jira REST API Communication Skills CI/CD Problem Solving Customer service Mentoring Linux DevOps Networking Troubleshooting JSON Technical support Scripting Debugging Customer support

Posted 28 minutes ago

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🔥 Staff Analyst, Servicing

Posted about 1 hour ago

📍 United States

💸 157000.0 - 217500.0 USD per year

🔍 Finance

🏢 Company: Upstart👥 1001-5000💰 $425,000,000 Post-IPO Debt 5 months ago🫂 Last layoff about 2 years agoCredit Automotive Artificial Intelligence (AI)Consumer Lending Lending Financial Services Personal Finance Machine Learning FinTech

🔧 Requirements

8+ years work experience in increasingly senior analytical roles in technology and finance industry
Strong background in credit, product, or operations analytics, with hands-on proficient in SQL, Python and/or R
Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode
Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success

💡 Responsibilities

Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements.
Create regular executive level presentations to communicate findings and strategic recommendations
Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities.
Collaborate with analytics engineering and software engineering to continuously up-level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights.
Develop and maintain business intelligence tools to support reporting and decision-making.
Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation

Python SQL Business Intelligence Data Analysis Tableau Analytical Skills Mentoring Data visualization Data modeling A/B testing

Posted about 1 hour ago

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🔥 Senior Machine Learning Engineer

Posted about 1 hour ago

📍 Brazil, the U.S., and Canada

🧭 Full-Time

🔍 Payments

🔧 Requirements

Bachelor’s or Master’s degree in CS/Engineering/Data-Science or other technical disciplines.
Solid experience in DS/ML engineering.
Proficiency in programming languages such as Python, Scala, or Java.
Hands-on experience in implementing batch and real-time streaming pipelines, using SQL and NoSQL database solutions
Familiarity with monitoring tools for data pipelines, streaming systems, and model performance.
Experience in AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.).
Experience with CI/CD pipelines, infrastructure-as-code tools (e.g., Terraform, CloudFormation), and MLOps platforms like MLflow.
Experience with Machine Learning modeling, notably tree-based and boosting models supervised learning for imbalanced target scenarios.
Experience with Online Inference, APIs, and services that respond under tight time constraints.
Proficiency in English.

💡 Responsibilities

Design the data-architecture flow for the efficient implementation of real-time model endpoints and/or batch solutions.
Engineer domain-specific features that can enhance model performance and robustness.
Build pipelines to deploy machine learning models in production with a focus on scalability and efficiency, and participate in and enforce the release management process for models and rules.
Implement systems to monitor model performance, endpoints/feature health, and other business metrics; Create model-retraining pipelines to boost performance, based on monitoring metrics; Model recalibration.
Design and implement scalable architectures to support real-time/batch solutions; Optimize algorithms and workflows for latency, throughput, and resource efficiency; Ensure systems adhere to company standards for reliability and security.
Conduct research and prototypes to explore novel approaches in ML engineering for addressing emerging risk/fraud patterns.
Partner with fraud analysts, risk managers, and product teams to translate business requirements into ML solutions.

AWS Backend Development Docker Python SQL Amazon RDS AWS EKS Frontend Development Java Kafka Kubernetes Machine Learning MLFlow Airflow Algorithms Data engineering Data science REST API Nosql Pandas Spark CI/CD Terraform Scala Data modeling English communication

Posted about 1 hour ago

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🔥 Principal Machine Learning Scientist (UK Remote)

Posted about 1 hour ago

📍 United Kingdom

🧭 Full-Time

🔍 Education

🔧 Requirements

Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus.
A strong understanding of the math and theory behind machine learning and deep learning.
Software engineering background with at least 3-5 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review).
Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases).
An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families.
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite.
Excellent communication and teamwork skills.
Fluent in written and spoken English.

💡 Responsibilities

Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.
Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.
Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.
Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.
Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings.
Optimize models for scaled production usage.
Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners.
Write clean, efficient, and modular code, with automated tests and appropriate documentation.
Stay up to date with technology, make good technological choices, and be able to explain them to the organization.

AWS Docker Python Software Development SQL Bash Data Analysis Frontend Development Git Machine Learning Numpy PyTorch Algorithms API testing Data science Data Structures REST API CI/CD RESTful APIs JSON Data visualization

Posted about 1 hour ago

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🔥 Senior Data Pipeline Engineer (ETL)

Posted about 2 hours ago

📍 Armenia

🏢 Company: Globaldev Group👥 251-500💰 Seed about 4 years agoDevOps Information Technology Software

🔧 Requirements

5+ years of experience as Data Engineer
Strong SQL/NoSQL skills.
Experience with data pipeline tools and technologies.
Knowledge of data warehousing concepts.

💡 Responsibilities

Manage data infrastructure and pipelines.
Designing and maintaining data pipelines.
Data extraction, transformation, and loading (ETL).
Database management (SQL/NoSQL).
Ensure data integrity.

SQL Apache Airflow ETL Data engineering Nosql

Posted about 2 hours ago

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🔥 Marketing Operations Manager

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 105000.0 - 145000.0 USD per year

🔍 Democracy Reform

🏢 Company: GoodParty.org

🔧 Requirements

5+ years of experience in marketing operations, analytics, or revenue operations.
Expert in HubSpot with experience managing marketing automation tools.
Deep understanding of the most useful AI tools and a proven track record of leveraging them.
Strong analytical skills with experience tracking, analyzing, and interpreting marketing data.
Experience with lead scoring and attribution modeling, either from configuring a CRM from scratch or significantly improving an existing system.
Experience building dashboards with business intelligence tools (Tableau preferred, Power BI, Looker).
Strong attention to detail when building marketing automation, with experience documenting workflows and an intuitive understanding of system integration.
Excellent communication and collaboration skills, with the ability to work cross-functionally with Marketing, Sales, and Data Engineering.

💡 Responsibilities

Elevate our marketing reporting by building top-tier systems to track campaign performance and funnel health with precision.
Manage and maintain our HubSpot instance, serving as the primary owner of all marketing automation needs and data requests.
Analyze funnel performance to identify growth opportunities and areas where users encounter friction, ensuring strategic improvements.
Collaborate with our Data Engineers to establish and maintain reliable data pipelines across the company, enabling accurate and scalable reporting.
Build and maintain dashboards in Tableau to provide real-time visibility into marketing and sales performance.
Develop predictive lead scoring, qualification logic, and conditional list building to ensure sales focuses on the highest-opportunity leads.
Create and segment audiences for paid campaigns and direct outreach to candidates.
Continuously test and refine processes to improve scalability and effectiveness in marketing operations.
Collaborate on a fast, results-driven team.
Report to Director of Growth.

SQL Business Intelligence Data Analysis Google Analytics Tableau Data engineering Communication Skills Analytical Skills Collaboration Reporting Data visualization Marketing Lead Generation CRM Data modeling Data analytics Customer Success A/B testing

Posted about 2 hours ago

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🔥 Junior Data Analyst

Posted about 2 hours ago

📍 London, England, United Kingdom

🏢 Company: Pion👥 51-100💰 Private almost 4 years agoPharmaceutical Innovation Management

🔧 Requirements

Experience building reports and dashboards in off-the-shelf BI tools such as Tableau, Qlik, PowerBI, Looker, Lightdash
SQL proficiency is absolutely essential (there is a SQL test included within our recruitment process)
Excellent communication and stakeholder management skills
Proactivity and drive for continuous improvement
Experience working as a Data Analyst as part of a data team
Experience working with Product and Engineering teams
Experience building alerting systems

💡 Responsibilities

Triaging requests within the Jira inbox by prioritising them based on business requirements
Responding to ad hoc queries
Speaking to stakeholders in order to understand their requirements or any concerns
Investigating potential issues and discrepancies across systems / reports
Performance monitoring
QA + reporting checking
Requirements gathering for new reports and small pieces of analysis
Building reports and dashboards in our BI tools
Some SQL based analysis in Count

SQL Data Analysis Tableau Data visualization

Posted about 2 hours ago

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🔥 Infrastructure Automation Developer (Global)

Posted about 2 hours ago

📍 Sri Lanka, India, Latvia, Ukraine, Romania

🔍 Software Development

🏢 Company: First Focus👥 11-50 Education

🔧 Requirements

Strong automation scripting experience with one or more of the following - Bash, Python, Powershell, PHP etc
Strong database experience in SQL (MS-SQL, MySQL, NoSQL)

💡 Responsibilities

Automation scripting using one or more of the following technologies - Bash, Python, PHP and Powershell
Configuration and maintenance of API orchestration and orchestration platforms
Building complex automations that interact directly with MS-SQL, MySQL, NoSQL and APIs
Creating and configuring AI solutions

AWS PHP Python SQL Bash Kubernetes MySQL API testing Nosql CI/CD RESTful APIs DevOps Scripting

Posted about 2 hours ago

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