Krisp

Benefits:

• Stock options

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave”, “Wellness Coverage”,

Experience Requirements:

• Proven Mid/Senior level experience as an ML engineer or a similar role

Other Requirements:

• Strong background in Mathematics, Physics, or Computer Science

• Good understanding of CS algorithms and mathematical principles underlying ML algorithms

• Solid skills in software design and engineering

• Solid command of Python and its ecosystem, including familiarity with ML frameworks such as Tensorflow or Pytorch

Responsibilities:

• Research, design, engineer, and support ML systems, including product research, algorithmic research, data preparation, coding, and fine-tuning based on QA feedback

• Leverage trade-offs between technical complexity and product requirements

• Be on top of related industry and research trends

• Communicate technical decisions effectively through technical discussions and design docs

Benefits:

• Stock options

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave”, “Wellness Coverage”,

Education Requirements:

• BS degree or higher in Finance, Accounting, Data Analytics, Business Analytics or a related field

Experience Requirements:

• Proven experience in revenue and sales analytics, preferably in a SaaS environment

Other Requirements:

• Strong proficiency in data visualization tools (e.g., Tableau) and advanced Excel skills

• Knowledge of financial modeling and forecasting techniques

• Familiarity with SaaS metrics, such as ARR, MRR, LTV, and CAC

• Experience working cross-functionally with sales, marketing, engineering and finance teams to ensure data and process alignment

• Excellent problem-solving skills and a strategic mindset

• Commitment to continuous learning and professional growth

Responsibilities:

• Analyze recurring revenue streams, growth trends, and churn rates to identify optimization opportunities

• Build and maintain revenue forecasting models in collaboration with cross-functional teams

• Evaluate sales performance metrics and ROI, offering data-driven insights to refine pipelines and processes

• Develop financial models to assess the impact of pricing and monetization strategies

• Conduct profitability analyses across various business lines, partnering with GTM and product management teamsMonitor performance against targets, investigate variances, and propose corrective measuresCreate clear, actionable reports and dashboards that guide leadership decisionsContribute to pricing strategy, market expansion projects, and cost management initiatives to enhance overall profitabilityBe hands-on in developing processes and tools that improve revenue analytics efficiency

Benefits:

• Stock options

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave”, “Wellness Coverage”,

Experience Requirements:

• Proven experience designing enterprise-level products, particularly in AI, SaaS, or communication tools

• A history of successfully shipping products that solve real business challenges at scale

• Clear understanding of both Enterprise user and buyer personas, decision factors and usage patterns

Other Requirements:

• Excitement for working with cutting-edge AI technologies and the ability to simplify complex functionality into intuitive designs

• Strong communication skills to clearly articulate design decisions and collaborate with diverse stakeholders

• A user-focused approach to problem-solving, with an emphasis on research-driven and iterative design

• Adaptability and the ability to balance immediate deliverables with long-term product strategy

Responsibilities:

• Lead design efforts across the product lifecycle, collaborating closely with product managers, engineers, and business stakeholders

• Design scalable solutions that address the unique workflows and challenges of enterprise clients

• Translate advanced AI technologies into user-friendly tools, including features like AI live interpreter and real-time noise cancellation

• Conduct user research to understand enterprise users’ pain points and needs, turning insights into actionable design improvements

• Develop wireframes, prototypes, and polished designs, iterating based on user feedback to ensure practicality and ease of usePartner with cross-functional teams to ensure designs are successfully implemented, balancing technical feasibility with user satisfaction