Nift

Chief of Staff

• Serve as an extension of the CEO; supporting decision-making, owning priorities, and managing the CEO’s bandwidth for maximum impact
• Directly own and manage the CEO’s time, projects, and professional relationships to ensure day-to-day operations and key initiatives are executed effectively
• Own and optimize the CEO’s calendar, travel, and meeting flow—ensuring that time is aligned to the company’s highest priorities
• Initiate and manage external outreach to investors, advisors, strategic partners, and prospective customers on behalf of the CEO
• Execute quickly and hands-on (this is not a strategy role), you’ll have to roll up your sleeves and get things done
• Anticipate roadblocks, operational risks, and resource needs early to prevent fires
• Own, lead, and facilitate the company-wide OKR process: setting, aligning, and tracking monthly goals across all departments
• Identify organizational blockers and escalate when appropriate
• Manage projects and drive cross-functional execution—ensuring objectives & milestones are achieved on time
• Build trust and context across teams to help the CEO make fast, informed decisions
• Act as an internal “signal-router,” surfacing emerging challenges or disconnects quickly and tactfully
• Ensure the executive team operates with shared clarity, urgency, and accountability
• Own internal and external communication flow from the office of the CEO, with messaging that is sharp, consistent, and timely
• Draft internal updates, talking points, and meeting prep materials that enable executive clarity
• Maintain tight communication loops across stakeholders, ensuring follow-through and zero dropped balls

Machine Learning Engineer

• ML platform: Productionize training and inference (batch/real-time), establish CI/CD for models, data/versioning practices, and model governance
• Feature & model lifecycle: Centralize feature generation (e.g., feature store patterns), manage model registry/metadata, and streamline deployment workflows
• Observability & quality: Implement monitoring for data quality, drift, model performance/latency, and pipeline health with clear alerting and dashboards
• Engineering excellence: Refactor research code into reusable components, enforce repo structure, testing, logging, and reproducibility
• Cross-functional collaboration: Work with DS/Analytics/Engineers to turn prototypes into production systems, provide mentorship and technical guidance
• Roadmap & standards: Drive the technical vision for ML platform capabilities and establish architectural patterns that become team standards

ML Ops Engineer

Data Engineer

• Architecture & storage: Design and implement our data storage strategy (warehouse, lake, transactional stores) with scalability, reliability, security, and cost in mind
• Pipelines & ETL: Build and maintain robust data pipelines (batch/stream), including orchestration, testing, documentation, and SLAs
• Reliability & cost control: Optimize compute/storage (e.g., spot, autoscaling, lifecycle policies) and reduce pipeline fragility
• Engineering excellence: Refactor research code into reusable components, enforce repo structure, testing, logging, and reproducibility
• Cross-functional collaboration: Work with DS/Analytics/Engineers to turn prototypes into production systems, provide mentorship and technical guidance
• Roadmap & standards: Drive the technical vision for data platform capabilities and establish architectural patterns that become team standards

Data Scientist

• Data Analysis and Exploration: You will need to explore and analyze large volumes of data to gain insights and identify patterns relevant to your modeling objectives. This involves data cleaning, preprocessing, and transforming data into a suitable format for modeling
• Model Development: You will design and develop models using statistical and machine-learning techniques. This includes selecting appropriate algorithms, feature engineering, model training, and evaluation
• Data Preparation: You will be responsible for preparing the data required for modeling, including gathering and integrating data from various sources, ensuring data quality and consistency, and defining appropriate features and variables
• Model Evaluation and Testing: You will assess the performance and accuracy of the models using appropriate evaluation metrics. This includes conducting experiments, cross-validation, and measuring the effectiveness of recommendations
• Optimization and Tuning: You will fine-tune models to optimize their performance, improve accuracy, reduce bias or overfitting, and enhance the efficiency of the algorithms. provide actionable recommendations
• Analyze large datasets to identify patterns, trends, and insights that can be leveraged to improve business performance
• Design, build and evaluate systems to personalize consumer experience and drive customer engagement
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Conduct rigorous testing and validation of models to ensure their accuracy, robustness, and reliability
• Monitor model performance, identify areas of improvement, and continuously refine models based on new data and evolving business needs
• Stay up-to-date with the latest advancements in data science, machine learning, and recommendation system technologies, and apply them to solve business challenges

Senior Data Scientist, USA, Israel

Backend Engineer

• Own assigned development projects from start to finish
• Collaborate with the Chief Architect to design, optimize, enhance, and evolve AWS infrastructure (EC2, RDS, ECS, etc.)
• Implement CI/CD pipelines and monitor system health
• Contribute to architectural decisions across the stack
• Troubleshoot performance and infrastructure issues and proactively identify areas for improvement
• Write clean, tested, maintainable code and perform code reviews to help others do the same
• Measure and improve customer experience using data-driven approaches
• Work on scalability, performance, and reliability for a real-time AI platform used by millions of people

Senior Software Engineer, Backend

Account Executive

• Research and identify high potential enterprise brands/advertisers to target which Nift can meet their performance marketing and new consumer acquisition goals
• Quickly engage with inbound leads from marketing campaigns, qualifying prospects, and identifying opportunities to close deals
• Conduct in-depth discovery calls to understand each prospective client’s unique needs, their current customer acquisition challenges, present/past customer acquisition strategies they’ve tried, and tailoring Nift’s solutions to meet their desired goals
• Lead negotiations, including pricing and contract terms, performance objectives, secure mutually beneficial agreements that align with the client goals and Nift’s growth objectives
• Develop and maintain a robust pipeline, providing accurate updates from prospecting to closing deals
• Become a category expert for Nift. Stay current with industry trends, competitive landscape, and market shifts to continuously refine sales strategies and offer valuable client solutions and insights
• Identify and research potential e-commerce brands with the highest growth potential, keeping tabs on industry trends and market developments, competitor activity, providing valuable insights to the team and adapting strategies accordingly
• Develop compelling and customized presentations that showcase Nift's value proposition, highlighting how our solution can effectively address each specific need and contribute to their success
• Build rapport, establish trust, and develop strong, long-lasting relationships with key stakeholders at e-commerce & DTC brands, eventually becoming a trusted advisor
• Work closely with internal cross-functional teams, including client success, marketing, operations, finance, and analytics, to ensure seamless onboarding and successful implementation for acquired brands

Chief of Staff

ML Ops Engineer

Data Engineer

Senior Data Scientist, USA, Israel

Senior Software Engineer, Backend

Senior Enterprise Account Executive, Performance Marketing Solutions