Benefits:

• Rich innovative software stack, freedom to choose the best suitable technologies.

• Remote-first ideology: freedom to operate from the home office or any suitable coworking.

• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.

• Regular performance and compensation reviews.

• Recurrent 1-1s and measurable OKRs. In-depth onboarding with a clear success track. Competera covers 70% of your training/course fee. 20 vacation days, 15 days off, and up to one week of paid Christmas holidays. 20 business days of sick leave. Partial medical insurance coverage.

Experience Requirements:

• 5+ years experience in data-related roles

Other Requirements:

• Strong command of SQL (PK FK, normalisation, window functions, sub query factoring, WITH clause)

• Python Junior

• Upper-Intermediate level of spoken English and Ukrainian, followed by business communication skills

• Experience in the transformation from business requests to technical requirements

• Presentation and business communications skills Critical thinking, problem-solving, Quick learner, Ability to work under minimal guidance

• Knowledge of data sources used by enterprise and corporate businesses to integrate with

• Strong technical skills in data integration, data storage, validation and processing tools and technologies

• Strong technical skills related to the systems observability

• Extensive experience in building high-load data processing systems.

Responsibilities:

• Ensure integration of high-quality data for new customers of The Competera Pricing Platform

• Organize technical integration between Competera and customers

• Communicate with customers' IT and commercial teams, around bug reports and change requests

• Supervise and assess integration partners (contractors)

• Assist partners with ETL creation and support

Benefits:

• Rich innovative software stack, freedom to choose the best suitable technologies.

• Remote-first ideology: freedom to operate from the home office or any suitable coworking.

• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.

• Regular performance and compensation reviews.

• Recurrent 1-1s and measurable OKRs. In-depth onboarding with a clear success track. Competera covers 70% of your training/course fee. 20 vacation days, 15 days off, and up to one week of paid Christmas holidays. 20 business days of sick leave. Partial medical insurance coverage.

Experience Requirements:

• 2+ years of experience in data engineer role.

Other Requirements:

• Strong SQL knowledge: your SQL queries are to be efficient and self-explanatory (this will be the biggest part of work)

• Basic knowledge of core Python, followed by hands-on experience with it

• Experience in optimizing SQL queries

• Familiarity with Cloud

• English level - Upper-intermediate +.

Responsibilities:

• Support existing ETL pipelines (SQL, Python, GCP stack)

• Add new entities to datasets

• Optimize existing bottlenecks (query performance etc.) and close existing tech debt

• Answer data-related questions

Responsibilities:

• Collaborating with your Product Engineering team members to clarify requirements and acceptance criteria.

• Planning, coordinating and executing test-related activities.

• Creating automated tests that are robust, easy to understand and maintain.

• Working within the team to ensure that test coverage is sufficient on the data platform.

• Contributing to shape the requirements and to push test as much to the left as possible.

Responsibilities:

• Work with peer engineers, designers, and product managers to scope, develop and deliver a software experience that realizes the product strategy.

• Develop new frontend features that help make our customers successful.

• Work closely with backend developers to integrate frontend components with backend services.

• Optimize the frontend codebase for speed, efficiency, maintainability, and scalability, ensuring fast loading times and smooth interactions.

• Move fast while taking the time to ship high-quality code.

Responsibilities:

• Analyse and ingest new datasets from varied sources

• Design, build, and support cloud infrastructure

• Design, build, and support AI and ML processes and infrastructure

• Design and build modern, metadata driven data pipelines and data streams

• Design and build data service APIs

Responsibilities:

• Team Development & Mentorship

• Strategic Focus

• Cross-Functional Collaboration

• Engineering Excellence

• Performance Management

Responsibilities:

• Implement and drive adoption of site reliability engineering best practices for observability, scalability, availability, compliance and resilience.

• Focus on continuous improvement and technical standards – drive improvements in productivity, monitoring, tooling and set industry best practices.

• Act as the go-to-person for any production issue. Troubleshoot and monitor until successful mitigation, communicate effectively, create postmortems, document and implement learnings.

• Build, deploy and manage CI/CD workflows which leverage GitOps practices.

• Build, manage, and deploy architectures using Terraform (AWS) and Helm (EKS).

Responsibilities:

• Ensure that Accelerant US entities implement and adhere to corporate governance standards.

• Monitor applicable statutes, rules and regulations and provide guidance to Accelerant’s member(s) on required changes to functions such as reporting requirements and claims practices.

• Responsible for ensuring Accelerant and its Members have access to state DMV, RMV, DHSMV reporting and Federal DOT reporting platforms.

• Assist with business projects as needed, including new product development, policy and procedure development, implementation, and special projects.

Responsibilities:

• Develop and execute a comprehensive partnership strategy aligned with Accelerant’s business goals

• Identify, evaluate, and onboard new insurance service providers to expand the marketplace offerings

• You will lead the growth of the marketplace, supporting management in the execution of this across the organization.

• You will work closely with our Marketing team to develop initiatives to co-market with our partners and to ensure the visibility of the marketplace across our membership base.

Responsibilities:

• Lead user research & discovery

• Drive design execution

• Facilitate stakeholder workshops

• Innovate & iterate

• Contribute to a Design System

Responsibilities:

• Evaluate and price new MGA opportunities to ensure profitability targets will be achieved. Develop rate level and rating algorithm changes needed to achieve profitability.

• Work closely with a panel of existing Member MGAs to ensure continued profitability and address any actuarial support needed.

• Think creatively about how the actuarial function can better serve our Member MGAs at scale.

• Stay abreast of industry trends, regulatory changes, and emerging risks, providing proactive recommendations.

• Build relationships internally and collaborate effectively across Underwriting, Distribution, Claims, and Technology teams.

Responsibilities:

• Support the data onboarding process for Insurers and demonstrate a comprehensive understanding of their reporting requirements.

• Collaborate cross-functionally with Insurers, Data Acquisition Operations, Product and Development teams to ensure data requirements are achievable and efficiently met.

• Work with Product and Development teams to facilitate the development of automated data feeds

• Assist the Member Data Managers with the mapping, transformation, cleansing and validating of Member/TPA data to adhere to Insurer standards

Responsibilities:

• Manage the operational due diligence and onboarding procedures for new Members and Business expansions

• Responsible for coordination and management of the Bank accounts, systems, and regulatory reports onboarding procedures.

• Manage reconciliation between Written & Paid Bordereaux against cash received, manage, and oversee the transition to Outsourced Operations team DUA & Credit Control teams

• Liaise with members on invoicing procedures at the onboarding stage

• Ensure the Member Crib sheet has extensive notes for both Delegated Underwriting Authority and Credit Control Teams

Responsibilities:

• Overseeing collection procedures and being a point of escalation for the Credit Controllers on difficult to collect cashes.

• Weekly reviews of ledgers to ensure that cash collections and reconciliation are effective

• Regular review of procedures in credit control with the aim of continuous improvement in the department’s effectiveness and efficiency

• Ensuring that targets for debt are met and aim to continuously improve upon such targets with improved working practices.

Responsibilities:

• Design and implement security measures to protect applications and infrastructure from vulnerabilities, attacks, and other risks.

• Perform vulnerability assessments, threat analysis, and incident response.

• Plan, scope and conduct Penetration Testing campaigns.

• Develop and integrate security requirements into the CI/CD pipelines.

Benefits:

• Competitive cash+equity compensation based on level of capability

• Unlimited PTO (min. 2 weeks, avg. 3-4)

• Unlimited paid sick leave (mandatory for infectious diseases)

• Employer group health insurance, subsidized 75% by company

• Annual professional development stipend

Benefits:

• Competitive cash+equity compensation based on level of capability

• Unlimited PTO (min. 2 weeks, avg. 3-4)

• Unlimited paid sick leave (mandatory for infectious diseases)

• Employer group health insurance, subsidized 75% by company

• Annual professional development stipend

Benefits:

• Competitive cash+equity compensation based on level of capability

• Unlimited PTO (min. 2 weeks, avg. 3-4)

• Unlimited paid sick leave (mandatory for infectious diseases)

• Employer group health insurance, subsidized 75% by company

• Annual professional development stipend

Education Requirements:

• MBA required, preferably from Tier I institute.

Experience Requirements:

• 4-6 years’ direct selling experience in Technology Products/ Services / Solutions primarily in B2B environment

• 2+ years SaaS experience preferred

Responsibilities:

• Be the first contact point for any new leads. Effectively, also the face of the company. So excellent written and spoken communication skills are a must.

• Be primarily responsible to open new accounts and sustain strategic customer relationships by selling Digitap.ai’s complete portfolio of solutions.

• Deliver on the tactical sales plans, following up new business opportunities and setting up meetings and product demos as necessary.

• Make Digitap.ai a top recall in the Fintech/NBFC/BFSI fabric of the assigned territory

• Will carry a sales target and we expect you to hit target as often as possible • Act as a bridge between customers and the product team when it comes to feedback and product customizations.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 5+ years of experience doing quantitative analysis within a digital product environment.

Responsibilities:

• Enabling the rapid growth of our business; understanding the ecosystem of our business and identifying the highest impact areas for product-led growth.

• Defining key virality metrics and tracking KPIs to analyse what really matters. You’ll closely monitor our K-factor and find opportunities to improve it.

• Leading the measurement of ROI, incrementality, and cannibalisation of new viral initiatives.

• Influencing the roadmap of product teams through presentation of data-based recommendations.

• Applying graph theory and building network models to uncover new viral opportunities.