Qohash is building the zero copy data security control layer, enterprises need to adopt AI safely.

Our platform, Qostodian, helps large organizations discover, classify, govern, and remediate sensitive unstructured data across their most critical data sources without moving or copying the data. This zero copy architecture reduces exposure, preserves data sovereignty, and allows enterprises to secure data directly where it lives.

This matters because AI adoption is increasing the risk, complexity, and urgency of enterprise data security. Before organizations can safely deploy AI agents, copilots, retrieval systems, or automated workflows, they need to know where sensitive data lives, who and what can access it, and how to enforce controls at scale.

Company culture is at our core

Our 5 core values are more than just words; they are a way of life for us. We know that companies with a strong culture and a higher purpose perform better in the long run.

Do our values speak to you?

• Pursuit of excellence - Data security companies that aren't constantly improving every aspect of what they mean by 'excellent' shouldn't exist.

• Resilience - Security is a marathon without a finish line. Our customers and employees must have the support they need.

• Mission focus - We are here to protect the world's most sensitive data and create a safer digital future for all.

• Accountability - Trust is earned through actions, not blame or wishful thinking. Fulfill promises and take responsibility for mistakes.

• Embracing conflict - To reach consensus and problem-solve quickly, it's important to communicate honestly and courageously.

Who you are

You are a metrics-obsessed demand generation leader who has built pipeline engines from the ground up at B2B SaaS companies for large Enterprise buyers. You understand the intricacies of generating demand with executive buyers at large regulated organizations. You think in full-funnel terms, from brand and awareness down to MQL, SQL, pipeline, and revenue, and you hold yourself accountable to the numbers that matter. 

You have an AI-first working mindset and you default to AI tools to move faster, make better decisions, and raise the bar on everything you produce.

You combine strategic instinct with hands-on execution, and you thrive when given a blank canvas and a growth mandate. You’re as comfortable setting ABM strategy as you are optimizing a paid LinkedIn campaign or auditing SEO coverage. You’ve worked closely with Sales and you know how to earn that partnership.

What you will do

• Build and maintain a named-account event engine that produces an ICP-qualified pipeline in collaboration with the Marketing Manager.
• Design and execute a demand engine beyond events, including an ABM strategy that targets and converts priority accounts across the full buying committee.
• Own demand capture on Qohash’s owned channels: website conversion optimization, SEO strategy, and visibility in AI-powered search experiences.
• Build and manage a multi-channel paid acquisition strategy across LinkedIn and other relevant platforms, using AI-powered tools to improve targeting, personalization, spend efficiency, and optimize pipeline quality and CAC.
• Operate as a metrics-first function from day one: build and maintain a live performance dashboard tracking MQLs, SQLs, opportunities, pipeline, win rate, CAC, and pipeline-to-spend ratio. 
• Leverage AI tools to automate reporting, surface insights, and continuously optimize campaign performance.
• Partner tightly with Sales to align on ICP, pipeline coverage targets, and feedback loops that continuously sharpen targeting and messaging across multiple regions (North America, Europe, and MENA).
• Provide clear, data-backed visibility into marketing’s contribution to revenue.
  
  

What your resume shows

Must Haves

• 8+ years of demand generation experience in a B2B SaaS environment, with a track record of directly building pipeline
• Proven experience building ABM programs and multi-channel paid acquisition strategies using AI systems, including LinkedIn Ads, targeting enterprise or mid-market accounts
• Fluency in marketing analytics: pipeline attribution, CAC, MQL/SQL/opportunity conversion, pipeline-to-spend
• Hands-on experience with HubSpot or a comparable CRM/MAP platform
• Experience owning website and SEO as demand capture channels, including AI search visibility considerations
• A strong alignment with our core values and high-velocity company experience
• Bachelor's or Master's degree in Marketing, Communications, or equivalent professional experience

Nice to Haves

• Experience in cybersecurity or adjacent enterprise security markets
• Experience in leveraging AI tools to enhance productivity and streamline workflows 
• Experience working in a startup environment
• Experience marketing to security, IT, or data governance personas
• Full professional bilingualism in English and French, written and spoken 
• Preference for candidates resident in Quebec or Ontario

What's in it for you?

• Competitive salary range.
• Enjoy up to six weeks of paid time off annually, because we value your work-life balance.
• Comprehensive health benefits, including:
• Life insurance
• Short- and long-term disability
• Paramedical and telemedicine services
• Health Spending Account (HSA)

Qohash is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. A working proficiency in English is required for this position based on the company's operational requirements. Only those candidates selected for interview will be contacted.

About the role

In this role, you’ll be responsible for developing microservices in a distributed deployment environment with an emphasis on containerisation with Docker and K8S. You won’t just be writing simple CRUD applications, but instead will be working on the core logic of complex systems that are accessed millions of times a day. We wrote our system from scratch about 3 years ago, so you’ll be working with the latest technology and won’t have to worry about decades old legacy code.

With our millions of users a key focus for our platform is that of stability and robustness, by ensuring we have 24/7 coverage on our team we aim to be the best sporting platform in the world.

Our stack (we don't expect you to have all of these)

• Language: Java 17
• Frameworks: Spring Boot (Tomcat, Netty), Spring Data, Spring Cloud
• Architecture: Microservices, REST API, Message Queues
• Database: MySQL, MyBatis, ShardingSphere, MongoDB
• Caching: Redis (AWS ElastiCache), ElasticSearch
• Message Queue: RocketMQ
• Cloud: Docker, Kubernetes, AWS
• Monitoring: Grafana, Prometheus, Loki, Tempo, AWS CloudWatch

What you'll be doing

• Work across a Friday-Tuesday shift pattern (including the weekend)
• Develop highly-scalable mobile internet backends for millions of users
• Work with Project Managers and other development team members to determine new features and user stories needed in new / revised applications or large/complex development projects
• Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate
• Respond to support calls for applications in production for quick diagnosis and repair to keep things running smoothly for users
• Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives
• Mentoring less experienced team members 

What you'll bring

• Minimum of 3+ Years within a relevant role
• Be based within Europe or Latin America
• Preferred experience in Spring Boot, Spring Cloud, Spring Data and iBATIS
• Strong experience with highly-scalable web backends
• Experience designing highly transactional systems
• Advanced proficiency in Object Oriented Design (OOD) and analysis
• Advanced proficiency in application of analysis / design engineering functions
• Advanced proficiency in application of non-functional software qualities such as resiliency and maintainability
• Advanced proficiency in modern behavior-driven testing techniques
• Deep understanding of Microservices
• Proficient in SQL
• Expert knowledge of application development with technologies like RabbitMQ, MySQL, Redis etc
• Strong experience with container and cloud solutions such as Docker, Kubernetes and AWS Cloud
• An ability to work independently
• Excellent communication skills in English

What’s in it for you

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview process

• Remote video screening with our Talent Acquisition Team 
• Offline Take home assignment
• Remote video interview with Team Members (60 Mins)
• Final discussion with the hiring manager (60 mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Data is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Data

• Proficiency in Python and/or SQL
• Strong understanding of data analysis, statistics, and data modeling concepts
• Experience with data manipulation and visualization tools (Pandas, NumPy, Excel, Tableau/Power BI)
• Familiarity with ETL processes and data pipelines
• Understanding of databases (relational and/or NoSQL)
• Knowledge of data warehousing concepts and architecture
• Ability to work with large datasets and optimize data workflows
• Experience with data quality, validation, and governance practices
• Strong problem-solving and analytical skills

Preferred:

• Experience with big data tools (Spark, Hadoop)
• Familiarity with cloud platforms (AWS, GCP, Azure)

Exposure to real-world data projects (analytics, engineering, or architecture)

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

The mission:

At Baubap, our Customer Success team raises technical support tickets that surface real issues impacting both our customers and the product. We’re looking for a Support Engineer to join our engineering team and independently own the investigation and resolution of these issues, with a strong focus on identifying and fixing root causes.

This role is designed for someone autonomous and execution-driven, who can move quickly from diagnosis to solution. You’ll work on a continuous stream of real operational problems, using support tickets as a direct signal to improve product quality, stability, and scalability. By resolving bugs and issues from the root and implementing backend fixes when needed. This role directly contributes to the long-term growth and reliability of the product.

The expected outcome:

• Recurring product issues identified through Customer Success tickets are resolved at the root cause, resulting in a sustained reduction of repeat incidents.
• Support tickets are consistently converted into concrete product and system improvements.
• Bugs and issues move efficiently from ticket to resolution, with minimal need for oversight or coaching.
• The product becomes progressively more stable and scalable, requiring less reactive support over time.

The day to day tasks:

• Investigate and resolve technical issues raised by the Customer Success team through support tickets and product bugs.
• Take ownership of fixing bugs and issues from the root cause, not just applying temporary workarounds.
• Analyze patterns in support tickets to identify recurring problems and systemic weaknesses.
• Design and implement backend solutions as needed to permanently resolve issues.
• Work with APIs, workflows, and internal systems to diagnose failures and improve reliability.
• Actively manage and coordinate stakeholders across Product, Customer Customer Success, Fincore, and Infrastructure to drive issues to resolution, align priorities, and ensure follow-through.
• Improve internal tooling, workflows, or integrations that support Customer Success operations.
• Document root causes, fixes, and learnings to reduce regressions and strengthen shared technical knowledge.

Why YOU should apply:

Previous experience:

• Experience working as a Support Engineer or in a similar technical support role.
• Hands-on experience with customer support platforms such as Zendesk, Zoho, Intercom, Front or similar.
• Experience supporting front-facing systems and understanding how customer-facing issues surface operationally.

Technical skills:

• Ability to develop and modify backend code to resolve bugs and issues.
• Experience working with PHP-based backends.
• Experience working with REST APIs and API integrations.
• Solid understanding of customer support platforms and their underlying workflows.
• Experience designing or modifying workflows and integrations via APIs.
• Experience working with relational databases and SQL.
• Familiarity with AWS-based environments.
• Experience using monitoring and error-tracking tools such as Datadog and Sentry.

What we can offer:

• Being part of a multicultural, highly driven team of professionals
• 20 vacation days / year + 75% holiday bonus (Prima Vacacional)
• 1 month (proportional) of Christmas bonus (Aguinaldo)
• Food vouchers
• Health & Life insurance
• Competitive salary

Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. As the largest training provider for Amazon Career Choice, and a growing partner to state governments building registered apprenticeship programs, Correlation One sits at the intersection of employer talent needs and scalable workforce training.

We work with Fortune 500 enterprises, federal and state government agencies, and leading employers to close skills gaps in AI, data analytics, cybersecurity, and operations leadership. Our programs produce job-ready graduates who are prepared to contribute from day one.

We are currently adding Lead Instructors: Data Analytics (PowerBI)  to our Expert Network, in anticipation of projects that will launch this year and next year. This is a proactive hiring effort, where you will participate in our interview process and be added to our Expert Network. Once approved for our Expert Network, our team will be able to share various opportunities for you to support projects, programs, and our learners. 

If you are already a member of our Expert Network, you do not need to apply to this role. You are already in our system.

Summary:

Lead Instructors [LIs] play a key role in driving elements of Correlation One’s multiple training programs. They facilitate Learners learning in Correlation One’s training programs and work with company operations personnel to drive exceptional learning outcomes. LIs main focus as educators will be in larger format lectures, delivering our content and training program. Candidates with demonstrated records in education and training, including successful tenures with other educational institutions or training programs, are preferred.

The ideal candidate will be an excellent educator with superior communication, collaboration, and facilitation skills. They should always have a good sense for improving the Learner learning experience.This person is a quick learner, diligent with their work, and empathetic. Your driving motivation is helping Learners learn the material taught during the program so that they can use their new knowledge & skills in the real world.

In this program you will be instructing around 30 employees of different private companies in a live online classroom. The instructor will be responsible for leading live lectures two times per week and providing learner support. The role is part-time, remote, and paid (compensation details below).

A day in the life 

• Lead the instruction of a “virtual classroom” within a training program.
• Collaborate with Correlation One Operations personnel to perform class duties well and stay on schedule.
• Prepare for upcoming lectures by coordinating with Correlation One curriculum, content, and operations staff to ensure best Learner experience possible.
• Track any edits/changes/suggestions to content that would help foster a more cohesive and positive learner experience.

Your expertise 

• An excellent educator with a passion for teaching and helping others.
• Degree in a Data Analytics related field and/or industry experience in a Data Analysis related role.
• Outstanding team and people management skills.
• Familiarity with remote work environments or use of the following platforms:
• Zoom
• Codio
• Airtable
• Microsoft Teams/Slack/Pumble
• Expertise with the following topics: 
• PowerBI (Experience and proficiency in PowerBI is required)
• Generative AI (Copilot)
• Excel
• Data Visualization 
• Dashboards 
• SQL 
• Python
• Experience with data storytelling and data visualization
• Experience teaching in a virtual environment
• Data practitioner with technical and application background
• Ability to simplify and explain data concepts, as well relate them to business objectives
• Exceptional leadership skills
• High organization skills
• Professionalism 

Where you are

• This role is remote and can be located anywhere.

Correlation One’s Commitment 

Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. Correlation One provides a work environment free of discrimination and harassment. Employment decisions at Correlation One are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants to bring their unique skills, experiences, and outlook to our work environment. 

Correlation One is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Correlation One strives to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidates@correlation-one.com. 

#LI-DNI

#noad

About the Role

Impact You'll Have

• Through your interactions with individual customers, you will help improve our product for everyone.
• Your work will play a crucial role in ensuring our customers' success and the continued effectiveness of their integration with Metronome.
• The Metronome team is more well-rounded because you bring your unique personality to work and help create an inclusive fun environment focused on helping our customers get the most value out of Metronome.

Qualifications

• 2+ years of work experience in a B2B customer-facing technical support organization or in engineering
• Experience working closely with engineering teams and providing technical feedback on customer issues
• Ability to debug and triage bugs and escalations from customers
• Can communicate technical capabilities of the product to customers
• Experience writing scripts or internal tools using APIs, and functional knowledge of SQL
• Strong written and verbal communication skills, with the ability to break down complex technical concepts clearly
• A mindset of customer empathy and ability to solve challenging problems

Bonus points

• Experience as an early or founding member of a support team, including building processes from scratch
• Startup experience and familiarity with scaling a support team
• Programming experience in one or more of Typescript, Python, or Ruby
• You have worked on modern enterprise software which is business critical
• Experience creating knowledge base articles and internal documentation
• Familiarity with at least one ticketing system, such as Pylon, Zendesk, Front, or similar

Role Overview

As a Founding Senior Customer Engineer at Federato, you’ll be a hands-on in helping insurance carriers and MGUs realize the full power of RiskOps. You’ll partner with Sales to lead technical discovery, solution design, and demo delivery. You’ll also co-create the systems, tools, and content that drive our early SE motion.

What You'll Be Doing

• Own technical sales engagements from discovery through close
• Deliver tailored, high-impact demos focused on business outcomes
• Translate customer workflows into Federato configurations — including quoting, rating, endorsements, and portfolio optimization
• Lead RFP and security questionnaire completion in collaboration with Product and Security teams
• Build and maintain reusable demo environments reflecting target customer segments
• Develop onboarding materials, configuration libraries, and example rating logic
• Partner with the Manager, Pre-Sales and Product Marketing to refine messaging frameworks and technical collateral
• Co-define and continuously improve the pre-sales lifecycle (discovery, solutioning, handoffs, etc.)
• Contribute to shared team assets like:
  • Discovery playbooks
  • Configuration scopes and success criteria templates
  • Demo setup guides and walkthroughs
• Collaborate with Product and Engineering to align roadmap with customer pain points
• Surface recurring objections and product gaps with clarity and context
• Provide post-sale context to Implementation & Customer Success

Who We Hope You Are

• 6–10+ years in technical pre-sales, solutions engineering, or technical consulting
• Hands-on experience in demos, architecture design, and enterprise sales support
• Strong insurance domain knowledge (or curiosity to learn quickly)
• Familiarity with policy lifecycle management, rating, quoting, and underwriting systems
• Ability to communicate technical value to both execs and practitioners
• Coding competence in Javascript and SQL
• Up to 30% Travel

Company Overview:

Upward Health is an in-home, multidisciplinary medical group providing 24/7 whole-person care. Our clinical team treats physical, behavioral, and social health needs when and where a patient needs help. Everyone on our team from our doctors, nurses, and Care Specialists to our HR, Technology, and Business Services staff are driven by a desire to improve the lives of our patients. We are able to treat a wide range of needs – everything from addressing poorly controlled blood sugar to combatting anxiety to accessing medically tailored meals – because we know that health requires care for the whole person. It’s no wonder 98% of patients report being fully satisfied with Upward Health!

Job Title & Role Description:

The Vice President, Value-Based Finance is the enterprise owner of financial performance for Upward Health’s risk-based business model. This role is accountable for how value-based contracts perform economically, how financial risk is measured and managed, and how those realities are reflected in company-wide planning and strategy.

This position operates as a hands-on executive leader, combining strategic influence with deep analytical rigor in a lean, high-impact finance organization. The VP serves as the primary financial authority on value-based care economics, directly influencing payer strategy, contract structure, and organizational risk appetite.

The role partners closely with the CFO, executive leadership team, and Board of Directors to translate complex healthcare economics into clear, actionable insights that guide enterprise decision-making. Unlike traditional FP&A roles, this position carries decision-shaping responsibility, owning both the interpretation and performance management of risk-bearing contracts.

Key responsibilities include enterprise ownership of value-based contract economics, leadership of FP&A processes embedded in risk models, actuarial-style financial analysis, advanced data engagement, and executive-level financial governance. The VP also leads and develops a small team of analysts while setting a high bar for analytical rigor and business impact.

Skills Required:

• Deep expertise in value-based care economics and risk-bearing contract structures
• Advanced financial modeling, scenario analysis, and forecasting capabilities
• Strong FP&A leadership with experience supporting executive and Board-level decision-making
• Proficiency in SQL and ability to work directly with large healthcare datasets
• Actuarial-informed analytical thinking (medical cost modeling, risk exposure, utilization trends)
• Ability to translate complex financial and healthcare data into clear strategic insights
• Strong business acumen with understanding of payer-provider dynamics
• Executive communication and presentation skills
• Strategic thinking with the ability to influence enterprise direction
• Leadership and team development in a lean, high-performance environment

Key Behaviors:

• Acts as an Enterprise Owner: Takes full accountability for the financial performance of value-based contracts, not just reporting outcomes
• Drives Decision-Making: Proactively shapes strategic decisions rather than reacting to them
• Maintains Analytical Rigor: Grounds all conclusions in data validation and first-principles thinking
• Operates with Executive Presence: Communicates complex topics clearly and confidently to senior stakeholders and the Board
• Balances Strategy and Execution: Moves seamlessly between high-level strategy and hands-on analytical work
• Exercises Sound Judgment Under Uncertainty: Makes informed decisions in complex, ambiguous, and risk-laden environments
• Partners Cross-Functionally: Collaborates effectively with payer, clinical, actuarial, and operational leaders
• Challenges Constructively: Provides independent, data-driven perspectives even when they may be unpopular
• Builds Scalable Thinking: Establishes repeatable frameworks for financial and economic analysis
• Develops Talent: Coaches and elevates team performance despite a lean structure

Competencies:

Value-Based Care Financial Expertise

• Demonstrates deep understanding of payer-provider risk arrangements, including capitation, shared savings, and downside risk models
• Owns contract-level profitability, PMPM performance, and medical cost ratio analysis
• Evaluates and optimizes financial performance across value-based contracts

Strategic Financial Leadership (FP&A)

• Leads enterprise forecasting, budgeting, and long-range planning processes
• Integrates contract-level economics into consolidated financial strategy
• Influences executive and Board-level decision-making with actionable insights

Risk Assessment & Actuarial Thinking

• Applies actuarial principles to evaluate medical cost trends, utilization, and risk exposure
• Assesses margin volatility and downside risk across populations
• Partners effectively with actuarial and analytics teams to refine assumptions and models

Advanced Analytics & Data Fluency

• Engages directly with data using SQL and other analytical tools
• Validates financial insights through detailed data interrogation
• Establishes standards for rigorous, repeatable analysis

 Executive Communication & Influence

• Translates complex healthcare and financial concepts into clear, concise narratives
• Communicates effectively with executives, Board members, and external stakeholders
• Frames trade-offs between growth, margin, risk, and outcomes

Business Partnership & Cross-Functional Leadership

• Collaborates with payer, clinical, and operational leaders to inform strategy
• Influences contract negotiations, pricing, and risk participation decisions
• Aligns financial strategy with operational and clinical realities

Accountability & Ownership

• Demonstrates full ownership of financial outcomes and strategic direction
• Moves beyond analysis to drive execution and results
• Maintains high standards for accuracy, integrity, and impact

Team Leadership & Development

• Leads and develops a high-performing team of analysts
• Sets clear expectations for analytical rigor and business impact
• Builds capability within a lean organizational structure

Upward Health is proud to be an equal opportunity employer. We are committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. This job description is a general outline of duties performed and is not to be misconstrued as encompassing all duties performed within the position.

Location

Remote

About the Role

You will own the end-to-end delivery of our core platform that powers our ATS, Video, Scheduling, and Telephony integrations along with our flagship AI features. Working in lockstep with Product and Design, you’ll move quickly to design, build, and refine features throughout the entire stack from data pipelines, database performance, and prompt engineering through the backend, and all the way to frontend interactions. You’ll focus on the performance and stability of the platform along with new product features to enable integrations, AI, and customer workflows. You will work on the output quality of AI features and make sure users get accurate, on-brand AI outputs fast. You’ll work on real features people use every day—things like:

• Automatic video recording and transcription.
• AI Notes and Summaries.
• Ensuring the platform can scale and reliably record, transcribe, and generate AI summaries for over 250,000 interviews per month.
• Generating insights and advanced AI insights quickly and reliably for all of our recorded interviews.
• Customizable interview summaries that enable customers to create fully personalized AI-generated summaries using their own structure and criteria.
• …and more

What You’ll Bring

• You have plenty of experience building across the stack in Python and Javascript/Typescript, especially building out the backend logic, data models, and architecture.
• You have a deep understanding and experience with data pipelines, distributed architectures, and scaling applications in high-scale environments.
• You think deeply about how customer facing features work for end users and can make decisions with user empathy.
• You might have real world experience building generative AI applications end to end, building prompt chains, eval harnesses, vector search, and more.
• You’ve worked with both structured (SQL) and unstructured data (raw text) and know how to transform them and utilize them together.
• You have product instincts and work well with design.
• You move fast and independently, but you know when to pair and when to pull others in.

About our team

• You’ll have the opportunity to work on high-impact projects in small, autonomous squads, with the flexibility to lead initiatives or focus as an individual contributor depending on your goals and interests.
• Our developer experience is thoughtfully designed, with fast CI (< 10 minutes), 1-click deploys, strong observability, and a clean codebase that enables you to move quickly and confidently.
• Our culture supports sustainable, focused work with fully remote roles, regular working hours, no-meeting Wednesdays, and flexible time off to recharge when needed.
• Our team is composed of smart, collaborative, and genuinely kind people, creating an environment where you can learn, grow, and do your best work.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

What We Do:  

 At Autura, we’re revolutionizing the towing and recovery industry with cutting-edge software that makes a real difference for our customers. From towing service providers to local governments, our tools—like Towing Management Systems, ARIES Dispatch, and Impound solutions—are designed to simplify operations, boost safety, and drive success. Joining Autura means being part of a team that’s passionate about innovation, collaboration, and making the world a little safer and smarter every day. Ready to help us pave the way? 

About the Role 

Autura runs critical customer data across several platforms -- Salesforce, NetSuite, Zendesk, and ThoughtSpot -- and right now those systems don't talk to each other. That’s the challenge this internship is built around.  

As a Data Analytics Intern, you'll work directly with our team to help stitch that data together into a unified view. That means hands-on work in Snowflake as our data warehouse and ThoughtSpot for reporting, alongside the analysis and project coordination needed to get this off the ground. You'll be a real contributor to a meaningful initiative, not just pulling reports in the background. 

This is a good fit if you've had some exposure to working across multiple data systems, enjoy figuring out how disparate pieces connect, and want to build something you can point to when you're done. 

This role is a temporary remote internship reporting directly up to our CFO. We are open to 20-40 hours per week for the summer or as a COOP for 6 months. 

What You'll Be Doing 

• Support the design and buildout of a unified data layer in Snowflake, pulling from Salesforce, NetSuite, Zendesk, and other sources 

• Help document the current state of data across systems and identify gaps and integration opportunities 

• Build and maintain dashboards and reports in ThoughtSpot that surface key customer metrics (churn, CLTV, retention trends, support volume) 

• Clean, validate, and organize data from multiple source systems 

• Help develop and track a project plan for the broader data integration initiative 

• Communicate findings to internal stakeholders in a clear, visually appealing, business-ready format 

About You 

• Pursuing a degree in Data Science, Business Analytics, Statistics, Information Systems, or a related field 

• Comfortable with SQL; Python is a plus 

• Familiar with or curious about tools like Snowflake, ThoughtSpot, Salesforce, NetSuite, or Zendesk -- you don't need experience with all of them, but exposure to stitching data across systems is a strong signal 

• Able to look at a messy data problem and start asking the right questions 

• Proactive, organized, and able to work independently with a distributed team 

• Has examples of prior work -- a project, analysis, or dashboard you built -- that you can walk us through 
• Familiar with AI tools, ideally Claude

The SCADA Engineer supports and operates the systems, processes, and technologies surrounding EQT’s SCADA environment. This includes providing ongoing maintenance, troubleshooting, user management, and new application development.

This position is more technically oriented than SCADA Specialist roles and focuses heavily on Ignition, eACM, and Autosol platforms, along with their corresponding interfaces. The role involves translating business and operational requirements into technical solutions that improve data collection, reporting, system integration, and overall performance.

The SCADA Engineer I/II responsibilities include but are not limited to:

• Support daily SCADA operations, including system maintenance, troubleshooting, user administration, and application development
• Gather and interpret business requirements and translate them into technical designs, enhancements, and integrations
• Design, develop, and modify SCADA displays and system configurations for new and existing facilities, including:
• Device/point and polling configuration
• Display creation and data validation
• Advanced control interfaces
• Management of associated Salesforce cases
• Provide advanced support for MQTT, Edge devices, and RTU/PLC communications ensuring reliable data flow across systems
• Ensure all SCADA displays, alarms, and communications comply with EQT’s internal SOPs and Production standards
• Leverage a deep understanding of system architecture to solve complex technical problems and improve system performance and usability
• Perform system audits and analyses, including:
• Critical point validation
• SOP compliance checks
• Server data and event log reviews
• Develop and deliver training materials and sessions for internal users and SCADA Specialists
• Lead/Coordinate M&A activity, system upgrades, maintenance, and performance improvements, ensuring minimal operational disruption through testing and validation
• Collaborate with vendors and internal IT teams to support infrastructure and application initiatives
• Provide input into SCADA architecture, cybersecurity, and high-availability (redundancy) design, and assist in system buildout and testing
• Contribute to SCADA design strategy across applications and infrastructure

Required Experience and Skills:

• Bachelor’s degree in Engineering, Computer Science, or a related technical field (or equivalent experience)
• 2+ years of experience supporting SCADA systems in oil & gas or industrial environments (upstream experience preferred)
• Working knowledge of Ignition, eACM, Autosol, or similar SCADA platforms
• Familiarity with OPC-UA, MQTT, and industrial communication protocols
• Experience with data integration, databases, and system interfaces
• Programming/scripting experience (e.g., Python, SQL, or similar) preferred
• Strong analytical and problem-solving skills with attention to detail
• Ability to collaborate across field operations, engineering, and IT teams

Remote work is being considered for this role excluding the following states:  California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee unless willing to relocate.

Why this role exists:

This role exists to own end-to-end technical configurations for merchant payment integrations and cashier configurations, ensuring compliant, reliable, and observable payment processing across environments. The role focuses on accelerating time-to-live for clients through accurate setup, validation, and maintenance of payment configurations. It is a critical function as all client journeys and payment expansions depend on correct configuration processes.

What you’ll drive:

Client configuration and setup

• Intake, clarify, and prioritise configuration change requests from clients and internal teams.
• Translate business constraints into executable configurations across payment methods and MIDs.
• Configure and maintain payment methods, acquirer connections, and MIDs in Back Office.

Validation, launch, and support

• Plan and execute end-to-end validation including request/response mapping, callbacks, and reconciliation checks.
• Coordinate production launches ensuring readiness across Engineering, SRE, Compliance, and Support.
• Provide L3 support, investigate incidents, and resolve configuration-related issues.

Observability, processes, and ownership

• Analyse logs and transactions using observability tools to ensure configuration stability.
• Define monitoring dashboards and alerts for approval rates, errors, and provider performance.
• Maintain documentation, workflows, and act as subject-matter expert for Payment Gateway configuration.

What makes you a GR8 fit:

Must-have

• Minimum 2+ years of experience in payment integrations configurations or similar roles.
• Experience in configurations, QA, or Business Analysis within payments or fintech.
• Strong understanding of JSON and XML with ability to configure payloads and provider schemas.
• Hands-on experience with REST clients and API contract validation.
• Working knowledge of SQL/PostgreSQL for data validation and diagnostics.
• Experience with webhooks/callbacks verification and troubleshooting.
• Experience with Git/GitLab for configuration versioning and change control.
• Basic understanding of CI/CD processes.
• Solid understanding of payment flows including authorization, capture, settlement, refund, and void.
• Knowledge of 3DS/SCA flows and MID management.
• Awareness of compliance and risk controls such as KYC, AML, and fraud rules.
• Practical experience with Postman or similar REST tools, JIRA, Confluence, manual testing, and log analysis tools.
• Strong sense of ownership, ability to manage multiple tasks, and understanding of SDLC processes.

Nice-to-have

• Experience in iGaming industry.

Why this role exists:

This role exists to protect our sportsbook ecosystem from financial leaks and sophisticated fraud. You’ll help us maintain platform integrity and profitability by analyzing real-time betting data, neutralizing risks, and catching vulnerabilities before they scale.

What you’ll drive:

Real-Time Detection & Monitoring

• Validate live deposit and withdrawal activity using internal monitoring tools and anti-fraud alert systems.
• Detect and intercept suspicious transaction patterns, including carding, money laundering (AML), account takeover (ATO), and payment method abuse.
• Analyze player behavior at the cashier level to uncover organized fraud rings and sophisticated bonus abuse linked to payment schemes.

Risk Decisions & Execution

• Apply immediate risk mitigation actions, independently triggering transaction holds, account freezes, and payment method restrictions.
• Drive KYC and EDD (Enhanced Due Diligence) requests for suspicious accounts to strictly validate player identities and source of funds.
• Manage and resolve complex chargeback disputes and internal JSM tickets related to financial suspicions without compromising operational SLAs.

Cross-team Collaboration & Process Improvement

• Partner with Compliance, Payments, and Finance teams to conduct deep-dive investigations into financial anomalies and potential security breaches.
• Document audit-ready case notes and maintain accurate internal tracking tables for all anti-fraud and payment actions.
• Optimize workflows by reporting bugs in payment logic, clarifying risk rules, and suggesting improvements to automated velocity checks.

What makes you a GR8 fit:

Must-have

• 1+ year of hands-on experience in payments fraud, risk operations, or financial crime monitoring (preferably in iGaming or FinTech).
• Strong understanding of payment ecosystem mechanics, including credit card processing, e-wallets, and chargeback lifecycles.
• Proven ability to make fast, autonomous decisions under time pressure with high operational accuracy.
• Readiness to work in a 24/7 environment on a structured 4/2 rotating shift schedule (morning, evening, and night shifts).
• Intermediate (B1+) English level to communicate clearly with international payment partners and maintain documentation.
• Native Ukrainian or Russian. 

Nice-to-have

• Experience working with BI tools (like Tableau) or handling large transactional datasets.
• Familiarity with specialized fraud detection systems (e.g., SEON, Sift, or Accertify).
• Basic understanding of SQL for independent data validation and reporting.

Why this role exists:

We are growing our AI team and are looking for a Senior AI / Generative AI Engineer to build and operate production-grade LLM-based systems across the platform.

This role focuses on applied Generative AI: internal AI automation, chatbots, AI assistants, and MCP-based services already used in production. You will work on top of an existing ML and data platform, building systems that are reliable, maintainable, and practical to operate.

This is a hands-on engineering role with end-to-end ownership. Not research. Not prompt-only.

What you’ll drive:

Technical Ownership

• Own LLM-based systems from design to production support.
• Design architectures for Generative AI systems (RAG, agents, tool/context serving).
• Make clear trade-offs between quality, latency, cost, and complexity.
• Set engineering standards for building and operating AI systems in production.
• Act as a technical reference point for applied GenAI.

Hands-on AI Engineering

• Build and maintain production LLM-powered systems.
• Develop chatbots and AI assistants with predictable behavior.
• Design and implement RAG pipelines (ingestion, embeddings, retrieval, generation).
• Implement agent-style workflows with tool/function calling.
• Build and integrate MCP servers or similar context/tool-serving components.
• Integrate AI systems with backend services and ML infrastructure.

Production & Reliability

• Design evaluation frameworks for LLM outputs.
• Monitor LLM behavior, system health, and costs in production.
• Address performance, scalability, and operational issues.
• Handle production incidents and contribute to long-term fixes.
• Design systems with failure modes, fallbacks, and graceful degradation.

What makes you a GR8 fit

Must-have

• Strong software engineering background.
• Proven experience building LLM-based systems in production.
• Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.
• Experience with context or tool-serving systems (MCP or similar).
• Experience integrating AI into real-time production products.
• Understanding of performance, scalability, and cost trade-offs.
• Cloud experience (preferably AWS).
• Strong engineering fundamentals (testing, debugging, reviews, observability).

Nice-to-have

• Multi-agent or workflow-based systems.
• Fine-tuning or adapting open-source LLMs.
• ML platforms / MLOps background.
• Experience operating latency- or cost-sensitive systems.
• Production incident ownership in AI systems.

Tech Stack:

• Languages: Python, SQL.
• LLMs: Amazon Bedrock, OpenAI, Anthropic, open-source models.
• Frameworks: LangChain, LangGraph, Pydantic, Langfuse.
• RAG: Embeddings, Qdrant / FAISS / OpenSearch / pgvector.
• Cloud: AWS (ECS / EKS / Lambda, S3, OpenSearch).
• DevOps: Docker, Git, CI/CD.

Why this role exists:

This role exists to protect our sportsbook ecosystem from financial leaks and sophisticated fraud. You’ll help us maintain platform integrity and profitability by analyzing real-time betting data, neutralizing risks, and catching vulnerabilities before they scale.

What you’ll drive:

Real-Time Detection & Monitoring

• Validate live and pre-match sports betting activity using Fairplay Monitor and internal alert systems.
• Detect and intercept suspicious betting patterns, including arbitrage, value exploitation, latency abuse, and abnormal winnings.
• Analyze player behavior across multiple accounts to uncover organized fraud rings and bonus abuse.

Risk Decisions & Execution

• Apply immediate risk mitigation actions, independently triggering account segmentation, betting limits, and market restrictions.
• Drive verification requests for suspicious accounts to strictly validate player identities and block bad actors.
• Resolve complex customer cases and internal JSM tickets related to fraud suspicions without compromising operational SLAs.

Cross-team Collaboration & Process Improvement

• Partner with Trading, Payments, Risk, and Integrity teams to conduct deep-dive investigations into betting anomalies.
• Document audit-ready case notes and maintain accurate internal tracking tables for all antifraud actions.
• Optimize our workflows by reporting bugs, clarifying rule logic, and suggesting improvements to our detection systems.

What makes you a GR8 fit:

Must-have

• 1+ year of hands-on experience in sports betting operations, fraud detection, or risk monitoring.
• Strong understanding of sports betting mechanics, odds logic, and common fraud schemes (e.g., arbitrage, value betting).
• Proven ability to make fast, autonomous decisions under time pressure with high operational accuracy.
• Readiness to work in a 24/7 environment on a structured 4/2 rotating shift schedule (morning, evening, and night shifts).
• Intermediate (B1+) English level to communicate clearly with cross-functional teams and maintain documentation.

Nice-to-have

• Experience working with BI tools (like Tableau) or handling large operational datasets.
• Familiarity with alert-based fraud detection systems (e.g., Fairplay Monitor).
• Basic understanding of SQL for independent data validation.

Why this role exists:

This role exists to design, develop, and maintain scalable .NET systems for Events Center, ensuring high performance, resilience, and alignment with business objectives while mentoring engineers and improving development practices.

What you’ll drive:

System design and architecture

• Design and implement scalable, resilient, and efficient software architectures using microservices, event-driven, and cloud-native approaches.

Development and code quality

• Write, test, and debug complex code for new and existing applications.
• Conduct code reviews to ensure quality, security, and adherence to best practices.
• Deliver production-ready code in a timely manner.

Mentorship and collaboration

• Provide guidance and mentoring junior engineers and team members.
• Collaborate with cross-functional teams, including product management, design, and operations, to align development efforts with business goals.

Continuous improvement and research

• Research and implement new technologies and methodologies to improve software performance and processes.
• Identify and resolving complex software issues and technical challenges.
• Drive continuous improvement in development practices.

Communication and documentation

• Create and maintaine comprehensive technical documentation.
• Communicate effectively with stakeholders, presenting technical concepts and project updates.

What makes you a GR8 fit:

Must-have

• Strong experience in designing scalable and resilient .NET systems (microservices, event-driven, cloud-native).
• Advanced C# skills, RESTful API development, asynchronous programming, and mastery of design/resilience patterns (DDD, CQRS, circuit breaker, etc.).
• Proficiency in SQL optimization, data modeling, indexing, and experience with relational and NoSQL databases.
• Hands-on experience with Kafka, high-load system optimization, caching, and distributed computing.
• Solid experience with CI/CD pipelines, Docker/Kubernetes, and infrastructure automation.
• Strong focus on testing (xUnit, NUnit), monitoring (Serilog, App Insights), and secure coding practices.
• Proven experience mentoring peers and driving technical decisions in Agile teams.
• Upper-Intermediate+ English, B2+ Ukrainian/Russian.

Nice-to-have

• Experience leading or managing software development projects.
• Familiarity with cloud platforms (Azure, AWS) and cloud-native service design.
• Experience improving software development practices and SDLC processes.

About the role

As a Data Analyst at Sporty, you’ll be mining through petabytes of data to provide key insights that drive core business decisions. You’ll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.

Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders. 

Our Stack

• MySQL
• Python
• AirFlow
• AWS
• Metabase
• Redshift
• Linux

What you'll be doing

• Analysing large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
• Designing, defining, and monitoring  core business KPIs to evaluate product and operational performance.
• Partnering with product, marketing, and business teams to translate business questions into structured data analysis.
• Delivering clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports.
• Developing and maintaining dashboards and reporting frameworks that enable self-service analytics.
• Conducting ad hoc analysis to support strategic initiatives and emerging business needs.
• Ensuring data quality and integrity by validating datasets and collaborating with data engineering teams when needed.

What you'll bring

• 3+ years experience in a similar data-driven role 
• Excellent working knowledge of SQL 
• Familiarity with Python and a range of BI and data visualization tools
• Strong knowledge with ETL data pipelines
• Strong knowledge of A/B Testing
• Familiarity with Airflow
• Understanding of principles of relational databases and data warehouse 
• Strong understanding of sports and gaming will be beneficial 
• Proactive and self-driven with excellent analytical skills 
• Ability to thrive in a fast paced and dynamic environment 
• Great communication skills

Even better if you have

• Hands-on experience with machine learning
• Relevant knowledge or experience in the gaming industry
• Working knowledge of Python
• Experience with Airflow and Metabase

What’s in it for you

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview Process

• Remote video screening with our Talent Acquisition Team 
• Offline Take home assignment
• Remote video interview with Team Members (90 Mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

#LI-remote

Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games.

Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 150+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS.

We are looking for a strong specialist who goes beyond data processing — someone who understands the business behind the data and can influence decisions through analytics. This role requires autonomy, fast learning, and full ownership of data quality and analytical outputs.

Requirements

• Advanced Python and SQL (query optimization, complex data transformations, large-scale data handling)
• Hands-on experience with ClickHouse or other columnar databases
• Strong background in building ETL/ELT pipelines (ingestion, transformation, orchestration). Experience with Airflow is a plus.
• Solid understanding of Data Warehouse architecture
• Strong Data QA skills (identifying and resolving data issues)
• Experience with Power BI (building and maintaining reports)
• Ability to quickly understand business logic and translate it into data models
• High attention to detail
• English — B2 or higher (working proficiency)

Nice to Have

• Experience with data governance implementation
• Experience in high-load systems
• Experience working with product and business teams

Responsibilities

• Own data quality: identify, analyze, and fix data issues
• Translate business processes into reliable data structures
• Build and optimize ETL pipelines
• Deliver clean and structured data for analytics and BI
• Handle AdHoc analytical requests under tight deadlines
• Maintain and improve Power BI reporting
• Automate repetitive tasks
• Provide analytical support
• Train users on BI tools

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

About the role

As a BizOps Associate at Grüns, you will apply strategic skills combined with your quantitative abilities and experience in data-driven analysis to drive growth, improve the bottom line, and surface new opportunities. You will work closely with talented, driven leaders across different departments to develop and test new strategies. You will actively influence product design and acquisition strategy to deliver compelling value to the customer while optimizing for the P&L. This role reports directly to Director, BizOps.

This role is part of our remote HQ! We have a fully remote, high-trust work environment - and also come together on a biannual basis for amazing off-sites where we can connect IRL.

In this role, you will:

• Identify business challenges and opportunities for improvement and leverage data in a creative and analytical manner to make strategic or tactical recommendations.
• Involve problem frameworks; develop hypotheses, tests, and analysis to inform solution development; lead implementation efforts; and develop monitoring plans for successful execution of projects.
• Build and navigate data comfortably to solve key business problems, answer ad hoc requests, and report on key metrics for needs both within the Finance team and across the business to key stakeholders.
• Develop & maintain financial models to forecast financial impact of new strategies, opportunities, and risks and measure actual performance against forecasts.
• Perform modeling/analytics to assist new product and pricing strategies.
• Support direct-to-consumer marketing efforts, evaluate new channels, and optimize existing strategies.
• Identify and refine KPI metrics to target to monitor business performance and improvement.

We're looking for someone who has:

• BS/MS Degree in a quantitative or computational field
• 4+ years experience in data analytics in corporate, consulting, or investment banking
• Exceptional communication skills with technical and non-technical audiences, able to influence your partners using clear, concise insights and recommendations through strong data-driven analyses
• High proficiency with Excel/Google Sheets and PowerPoint/Google Slides
• Expertise with SQL, with R and/or Python knowledge preferred
• Exceptional thought partnership skills, able to own direct relationships with stakeholders and build credibility through clarity and judgment
• Strong statistical skills and intuition for solving problems in both consumer-facing and internal product areas
• Experience with Cloud Computing (Google Cloud) platforms preferred

To Apply: 

Please enter your info and share a bit about yourself with us below. We ask that you do not use Chat GPT or similar tools to answer these questions, as it is our hope to genuinely get to know you and the way you communicate and think! We do love integrating these tools into our work though, and you’ll hear plenty more about that if you join us.

Compensation & Benefits:

At Grüns, we're committed to providing a competitive total compensation package — grounded in market data that considers our size, stage, industry, and location. For this role, the base salary range is $120,000-$135,000 depending on experience, paired with a comprehensive benefits package designed to support the well-being and growth of our team.

At WooCommerce, we’re on a mission to democratize commerce. Millions of merchants around the world build their businesses with our open-source platform, and we’re scaling how we support them.

Specifically, we’re scaling our B2B merchant acquisition efforts and are looking for a Senior Revenue Operations Manager to help build our Revenue Operations function largely from the ground up. This role goes beyond optimizing what exists today: it involves designing systems, processes, and data foundations that don’t yet fully exist, while ensuring they can scale thoughtfully over time.

You’ll partner closely with Sales and Customer Success leadership as a trusted operational and analytical partner, helping establish the foundations that enable clear decision-making, effective execution, and predictable growth.

This is a senior individual contributor role with significant ownership and influence. Your work will directly shape how we operate today and how we scale going forward.

What You’ll Do

• First 90 days: Build core dashboards, identify process/data gaps, establish remediation plans.
• First 180 days: Create capacity and territory models, map the full tech stack and integrations, define the attribution model.
• First 12 months: Achieve predictable forecasting (within ±10%) and establish a scalable enablement foundation.

Day to day, Week to week, Month to month

Systems & Data Foundation

• Own vendor relationships, tools, and integrations (Salesforce, Gong, ChiliPiper, etc.).
• Establish data quality standards, access controls, and governance practices.
• Build durable dashboards and ad hoc reporting that clearly answer “where are we vs. target?”
• Perform ongoing process and data gap analysis, prioritizing practical improvements while keeping long-term scalability in mind.
• Evaluate and implement technology or process improvements to support revenue growth.

CS & Sales Enablement

• Operationalize CS function: customer health, churn prediction, renewal workflows, escalation paths, expansion playbooks.
• Create rules of engagement between Sales and CS for complex GTM.
• Build enablement function infrastructure (topics/process/schedule—not training delivery).

Strategic Revenue Support

• Build tracking for strategic/payment partner merchants critical to NRR.
• Analyze performance trends to guide strategy: win/loss, deal cycle length, seasonality, retention, segmentation bands, and customer bands.
• Create capacity planning models based on pipeline velocity and customer growth.
• Territory planning, quota setting, and compensation administration.
• Support pricing and packaging changes with data and tracking.
• Support mid-funnel pipeline reviews and Sales/CS QBRs.
• Identify and surface GTM and CS inefficiencies through data analysis.
• Build merchant health scoring, expansion potential tracking, and red-to-green workflows.
• Design reporting that gives executives visibility, managers clarity, and reps actionable insights—from pipeline health to forecasting accuracy.

You Might Be a Fit If

• You’ve built RevOps from scratch (6–8+ years of experience, including at least one 0→1 build or major foundation reset).
• You’re deeply data-driven, with a mindset of “if the data isn’t there, how do we get it?”
• You’re comfortable speaking truth to power, using data to surface trade-offs and inform decisions, even when conversations are uncomfortable.
• AI is a strength, not a buzzword—you can point to concrete examples of how you use it in your current role.
• You’re hands-on technically, with strong Salesforce experience (flows, integrations) and comfort working with data (e.g. SQL or Python), not just point-and-click tooling.
• You know the RevOps tooling landscape, and have good judgment about what actually works at scale.
• You’re pragmatic and intentional, balancing short-term fixes with longer-term system design.
• You can partner as an equal with revenue leaders, and communicate data-backed insights clearly to executive stakeholders.

What Good Looks Like

• You can answer “where are we vs. Sales and CS targets?” quickly using trusted data.
• Executives rely on ELT-ready dashboards that communicate complex business simply.
• Core metrics (NRR, CAC, LTV, ASP, time to close, close rates) are clearly defined with documented data sources.

Salary range: $140,000-$200,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-Remote

We’re looking for a Product Manager, Growth & Analytics to join the Beeper team. You’ll own product execution for our growth initiatives, working directly with Beeper’s leadership team to figure out what makes users stick, what blocks them, and what makes them pay … and then do something about it.

Your instinct is to scope before you build, measure after you ship, and make sure every product has a clear answer at the end. You’re not the kind of PM who waits for someone else to pull the data. You write your own SQL, build your own dashboards, and use what you find to make better decisions. That analytical depth is what sets you apart.

In this role you will:

• Own the product process for growth. Specs, user stories, success criteria, experiment tracking: you keep it tight so engineering isn’t guessing at scope and leadership isn’t guessing at outcomes.
• Run experiments end-to-end. Hypothesis, spec, instrumentation, launch, results. You close the loop every time.
• Build and maintain the dashboards leadership relies on. Activation, retention, conversion, engagement: the numbers the team checks every week come from you.
• Investigate when metrics move. When activation drops or retention shifts, you’re the person who figures out why and what to do about it.
• Work with engineering and support to validate problems and confirm whether what we shipped actually worked.
• Keep product documentation current. Feature specs, release notes, internal reference docs: the stuff that keeps a distributed team aligned.

You’ll do well in this role if you:

• Have four to six years in product management, growth, or a closely related role where you owned product execution.
• Have strong SQL skills (CTEs, window functions, cohort analysis, funnel queries). This is a hard requirement, not a nice-to-have.
• Have experience with a cloud data warehouse and can build dashboards and recurring queries.
• Can write a spec that engineering builds against and a data summary that leadership makes decisions with.
• Have run experiments and know the difference between shipping a feature and learning something.

It will help if you:

• Have experience with experiment design and A/B testing frameworks.
• Have worked on a messaging, social, or consumer product.
• Are familiar with subscription or freemium business models.
• Understand basic statistical methods enough to know when a result is meaningful and when you’re fooling yourself with correlation.
• Are comfortable working with imperfect data when instrumentation isn’t clean.

Bonus points if you’ve worked on a distributed team or at a startup where you had to be scrappy and self-directed. For this role, overlap with North American time zones (Eastern preferred) is important, so you can work closely with the leadership team. This is a mid-level IC role with high-ownership expectations: the leadership team will rely on your work to know whether our strategy is working.

Compensation and Benefits

Salary range: $120,000-$190,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-DNI

Let's start with the role

As a Software Engineering Team Lead, you will play a crucial role in leading and guiding a team of software engineers in the development and delivery of high-quality software products. You will be responsible for overseeing project execution, mentoring team members, and ensuring that engineering best practices are followed. This role combines technical expertise with leadership and communication skills to drive the success of the team and the organization.

.NET Core, C#, Microservices, REST API, RabbitMQ, MS SQL Server, OpenShift.

• Team Leadership: Lead, mentor, and inspire a team of software engineers, fostering a collaborative and high-performance work environment
• Project Management: Manage project timelines, priorities, and resources to ensure on-time and on-budget delivery of software solutions
• Technical Guidance: Provide technical guidance, expertise, and code reviews to ensure software quality and adherence to best practices
• Architecture and Design: Contribute to the architectural decisions and design of software systems, considering scalability, performance, and maintainability
• Collaboration: Collaborate with cross-functional teams, including product managers, designers, and QA, to ensure alignment on project goals and requirements
• Problem Solving: Assist in complex problem-solving and troubleshooting as needed, offering guidance and expertise to the team
• Process Improvement: Continuously evaluate and improve development processes, tools, and methodologies to enhance team productivity
• Mentoring: Mentor and train team members, promoting skill development and career growth
• Code Quality: Ensure code quality, maintainability, and documentation by setting and enforcing coding standards
• Risk Management: Identify and mitigate project risks, proactively addressing challenges and bottlenecks

What you'll bring

• Proven experience as a software engineer with a strong track record of successful software development projects
• Strong technical expertise in one or more programming languages and technologies relevant to the team's focus like  .NET or equivalent, Microservices and Sync and Async communication
• Leadership and project management experience, with the ability to guide and motivate a team
• Excellent problem-solving and communication skills
• Familiarity with software development best practices, including Agile methodologies
• Strong organizational skills and the ability to manage multiple projects simultaneously
• Knowledge of software design patterns, architecture, and system scalability
• Experience with version control systems and project management tools

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.

Let's start with the role

You will join an autonomous Agile team and work closely with the Product Owner, Agile Delivery Lead, Automation Testers, and other Software Engineers to create a competitive advantage for Kaizen and offer a unique online experience to our customers. Besides being part of the Agile team, you will work closely with talented backend professionals within the Backend Chapter. 🙌

Senior Software engineers in Kaizen are responsible for a multitude of projects, from our customer-facing websites and mobile applications to our admin and internal tools and backend services, most of them withstanding high volume / traffic.

• Assume full responsibility for our applications on an engaging development journey.
• Create new solutions and see them through, from conception to production;
• Turn requirements into simple and sophisticated technological systems. Our large scale, highly available infrastructure is at the core of that challenge;
• Play a central role on Design, build, and maintain efficient, reusable, and reliable code;
• Research new technologies to find new and efficient ways to solve day to day challenges;
• Ship high-value features quickly;
• Challenge the status quo and improve the team and product;

Most of our sites and services are written in in C# / ASP.NET and new services are written in .NET Core. New applications use vue.js or Angular in the front-end while older ones use server-rendered (Razor) views in combination with jQuery. Microsoft Orleans enables our scalable and robust distributed applications. MS SQL Server is used for most of our storage needs, but also Redis and ElasticSearch are used when it makes sense to do so. RabbitMQ is our go-to message broker. We use Gitlab for code versioning and CI, and the Atlassian stack for tickets and documentation.

What you'll bring

• At least 4 years of experience developing production-level software using .NET Core;
• Proficient in C# and MVC;
• Experience with Testing/Metrics Monitoring/Logging on a large scale distributed system;
• Experience with Microservices architecture;
• Experience with asynchronous flows using message brokers;
• Good understanding of basic web technologies, such as HTTP, REST, etc.;
• Practical knowledge of algorithms and design patterns;
• Passionate about delivering high-quality code;
• Fluent in English, both oral and written.

Nice to have:

• Expertise in concurrency, multi-threading, and event-driven architecture;

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Remote

Key Responsibilities

Trade & Platform Operations

• Monitor trading platforms to ensure uptime and execution quality
• Oversee trade flow, execution, and pricing in real time
• Identify and escalate execution issues, slippage anomalies, or pricing gaps
• Manage trading sessions, market openings/closings, and instrument configurations

Liquidity & Pricing

• Monitor liquidity feeds and ensure competitive spreads and depth
• Liaise with liquidity providers to resolve pricing or execution issues
• Analyze spread widening, latency, and execution quality (markouts, slippage)
• Assist in optimizing routing and aggregation settings

Risk & Exposure Monitoring

• Monitor client positions, exposure, and overall risk in real time
• Support hedging strategies and execution of risk mitigation actions
• Identify unusual trading activity or potential abuse (e.g., arbitrage, latency exploitation)

Trade Lifecycle Management

• Handle trade adjustments, corrections, and dispute investigations
• Ensure accuracy of trade records and reconciliation

Incident Management

• Act as first responder for trading-related incidents
• Investigate platform issues, outages, or abnormal market behavior
• Coordinate with tech teams and external providers to resolve issues quickly

Requirements

Experience & Skills

• 2+ years experience in trading operations, dealing desk, or brokerage environment
• Strong understanding of FX, CFDs, or crypto markets
• Familiarity with trading platforms
• Python scripting skills — ability to write and maintain automation scripts for monitoring, data extraction, reconciliation, and routine operational tasks.
• SQL skills — writing queries (joins, aggregations, window functions) against trading and client databases for investigation, reporting, and anomaly detection.

Soft Skills

• Strong attention to detail and ability to work under pressure
• Problem-solving mindset with quick decision-making ability
• Excellent communication skills

Working Conditions

• Shift-based role (aligned with global market hours)
• On-call availability for critical incidents may be required

KPIs / Success Metrics

• Platform uptime and execution quality
• Spread competitiveness and liquidity performance
• Incident response time and resolution efficiency
• Accuracy of trade handling and reporting

The Assistant Vice President (AVP) M&A & Reinsurance Risk Analyst is responsible for supporting the identification, assessment, monitoring, and mitigation of reinsurance transaction risks within the organization. This role involves working closely with pricing actuaries, corporate development, investments, and other functions to evaluate proposed reinsurance transactions. Through effective, in-depth challenge, this role will assure all key risks are identified and disclosed, assumptions are reasonable, pricing models are accurate, and transaction governance requirements are followed. The AVP will advise the SVP Life & Annuity Risk Officer and the Fortitude CRO on transactions prior to submission of offers.

This position will report into the SVP, Life & Annuity Risk Officer and will be an experienced technical contributor playing a key role in the risk oversight of Fortitude Re’s life and annuity reinsurance transactions.

This role will be based remotely.

What You Will Do:

• Review transaction documents including deal information memorandum, appraisals, product profiles, contracts, experience studies, and other materials associated with prospective transactions.
• Review pricing assumptions and internal underwriting diligence.
• Review the analysis of cedants’ experience to ensure sufficient diligence was performed, data is credible, and proper controls were employed in setting assumptions.
• Review investment strategies and their inherent risks in light of liabilities in a given transaction.
• Ensure pricing assumptions are reasonable in light of cedant’s experience, company experience, industry experience, and professional judgment.
• Validate pricing models and results.
• Review pricing model design, results, and the peer review (challenger) process.
• Recommend sensitivity and stress tests and evaluate their impacts.
• Perform independent validation of pricing models in their entirety or specific pricing results, including the development of replication models where necessary.
• Identify, assess, and communicate deal risks.
• Risks include, but are not limited to, actuarial assumption risk, investment risks (credit, ALM, liquidity), operational risk, regulatory and tax risk, and expense risk.
• Evaluate proposed risk mitigation strategies and their potential effectiveness.
• Document risks for management presentations and in ERM risk memorandums.
• Advise SVP L&A Risk Officer and CRO on deal economics and risks in advance of bid decision making.
• Ensure full compliance with the company’s transaction and pricing governance standards.

What You Will Have:

• Bachelor’s or advanced degree in actuarial science, mathematics, statistics, engineering, or comparable program of study.
• A minimum of 7 years of relevant insurance experience. Insurance product pricing experience is preferred, but not required, as diverse actuarial experience is invaluable. See key skill sets below for more information on experience needs.
• Fellow of the Society of Actuaries (FSA) or comparable accreditation is preferred. Career ASAs with very strong experience will be considered. 
• Quantitative risk management experience (such as investment management or quantitative finance) with sufficient applied insurance background will also be considered.
• Effective written and verbal communication skills.  
• Candidates must be able to collaborate effectively with others and quickly disseminate information. 
• Candidates must have a strong foundation of technical knowledge pertaining to life insurance and/or annuity products and their inherent risks.
  • Understanding diverse insurance product designs, product pricing principles, and ALM is critical.
  • Experience with pricing or other applied insurance ALM modeling is important.
  • Applied experience with Bermuda and/or Solvency II accounting and capital frameworks is a plus but is not required.
  • The company will consider candidates with varied backgrounds such as risk management, valuation, modeling, or pricing.
• Candidates should be inquisitive and active learners that seek to grow their understanding in all they do.
  • The nature of this role involves evaluation of diverse, often complex or incomplete, financial information.
  • Having the ability to independently analyze and draw insightful conclusions from such situations is critical to the role. 
  • The nature of this role may also require analytical research of technical and sometimes theoretical matters, where information is lacking, and expert judgment is required.
• Candidates should have technical proficiency in actuarial calculations, analyses and models. 
  • Candidates for this role should have well-developed modeling skills with the ability to use / review work in current actuarial software platforms such as AXIS, MG ALFA, or comparable.
  • In addition, candidates should have the ability to develop solutions as needed in programming and/or database languages to perform analyses. 
  • Proficiency in one or more of the following is required: Python, VBA, SQL, C, or similar.  

#LI-Remote

This AVP, Modeling role reports to the VP, FACET Modeling Actuary. The Fortitude Analytics and Computational Evaluation Tool (FACET) is an in-house build actuarial modeling platform supporting statutory, GAAP, capital, hedging, embedded value, and long-range projection use cases. The platform is in a rapid-moving phase to standup and expand. The AVP, Modeling Actuary will play a critical role to ensure the timely delivery of modeling capacities with operation integrity, and ensure FACET remains stable, auditable, scalable, and aligned with enterprise financial and risk objectives. 

This role will be based remotely.

What You Will Do: 

• Support FACET actuarial modeling platform standup and expansion.
• Work closely with model developers and end users to ensure timely delivery of functionalities. 
• Ensure proper design and change management of data, actuarial code, interface and pipeline automation.
• Test and validate cross-module model changes.
• Ensure FACET supports enterprise ALM use cases including:  
  • Long-Range Projections (LRP) 
  • Embedded Value (EV)
  • Pricing (challenger and production applications) 
  • Capital / BSCR 
  • AIL / SBA / CFT 
• Assist for proper documentation of modeling and methodology changes to the Governance Committee where required.
• Ensure proper model development life cycle.

What You Will Have:

• Bachelor's degree in finance, mathematics, statistics, computer science or related field.
• 7+ years of progressively more responsible actuarial experience with Life Insurance, Annuity products or ALM equivalent environment.
• Proficient in Python, Julia, SQL, GitHub and standard modeling tools and technology.
• Demonstrated analytical ability to analyze large and complex data sets and deliver insights to drive business decisions.
• Ability to work in a dynamic professional environment and handle multiple projects and deadlines.
• Ability to build relationships and communicate effectively across multiple levels and functions.
• Experience transitioning from vendor modeling platforms to internally developed solutions, preferred. 
• Ability to use/review/validate AI-generated code, preferred.
• Familiarity with open-source development practices, version control, CI/CD, and testing frameworks, preferred.

#LI-Remote

Job Title: Director, Actuarial Pricing (FSA)
Location: Remote

Position Summary

Horace Mann is seeking a Director of Actuarial Pricing to lead pricing strategy and execution for our Group and Supplemental Benefits portfolio, with a focus on products serving educators and public service employees. This role will play a critical part in driving profitable growth through innovative pricing, data-driven insights, and strong cross-functional leadership.

The ideal candidate is an FSA with deep experience in Group and/or Supplemental Benefits pricing, a strategic mindset, and the ability to translate complex actuarial concepts into actionable business decisions. 

Key Responsibilities

• Lead the development and execution of pricing strategies for Group and Supplemental Benefits products (e.g., group life, disability, and voluntary/worksite benefits)
• Own pricing assumptions, methodologies, and governance to ensure alignment with profitability and risk objectives
• Partner closely with Product, Underwriting, Finance, Distribution, and Claims to support new product development, rate actions, and in-market strategy
• Evaluate product performance, emerging experience, and competitive positioning to recommend pricing and product adjustments
• Oversee the development, enhancement, and governance of actuarial pricing models
• Provide actuarial leadership for rate filings, regulatory compliance, and internal review processes
• Present pricing recommendations and business insights to senior leadership and key stakeholders
• Lead, mentor, and develop actuarial talent, fostering a high-performing and collaborative team environment
• Drive process improvements, automation, and the adoption of advanced analytics in pricing 

Qualifications

• Bachelor’s degree
• Fellow of the Society of Actuaries (FSA) designation required
• 6+ years of actuarial experience, with significant experience in Group and/or Supplemental Benefits pricing
• Strong understanding of pricing frameworks, risk management, and insurance product design
• Knowledge of regulatory environments and rate filing processes for group and supplemental insurance products
• Experience developing and managing actuarial models; familiarity with modeling tools such as MG-ALFA is a plus
• Advanced proficiency in Excel; experience with SQL, R, Python, or similar tools preferred
• Excellent communication and presentation skills, with the ability to influence senior stakeholders
• Strong business acumen and ability to balance technical rigor with practical decision-making

Preferred Qualifications

• Experience with educator-focused or affinity group insurance markets
• Demonstrated leadership experience, including managing or mentoring actuarial staff
• Experience leading cross-functional initiatives or strategic projects 

Why Horace Mann

• Mission-driven organization focused on serving educators and those who serve our communities
• Opportunity to shape pricing strategy and product innovation at a leadership level
• Collaborative culture with strong actuarial and business partnerships
• Competitive compensation, benefits, and flexible work arrangements

Salary Range: $124,200.00 - $175,800.00 

• Salary is commensurate to experience, location, etc.

Hours & location

🌎 We hire almost anywhere in the world and we don’t have a location requirement for this role. However, the expected working hours for this position is 9:00am - 5:00pm EST.

Why this job is exciting 

As part of the Technical Success organization, Support Engineering  is at the forefront of the customer experience. Our customers simply wouldn’t be successful, happy, long term customers without the important work this team does! Support Engineering exists to not only resolve technical issues but educate our customers by answering reactive questions, and by importantly identifying improvements we can make to help improve the product. Our customers are developers and we help them throughout their customer journey. 

📅 Within one month you will…

• Learn about our product, our value propositions, our customers, our team, and our practices.
• Learn how Sourcegraph is deployed (e.g., Kubernetes, scaling, and more), product configuration and integrations, our code base, and common user needs.
• Meet for an initial chat with the teammates you will work with most
• Start working with customers to troubleshoot and solve reported issues (with lots of support and help from your team).

📅 Within three months you will…

• Work with customers to troubleshoot and solve reported issues
• Contribute to improving our product and handbook documentation

📅 Within six months you will…

• Observe trends causing issues for our customers and suggest remedies (for example, what consistent things happen that we can write tooling for...)
• Suggest (and take responsibility for) improvements for team onboarding and ongoing enablement, improving the customer experience, and/or improving the product

About you

You are curious and compassionate. You are a problem solver - you love the moment where you “figure it out”. You enjoy trying new technologies, breaking them and helping fix them. You want to be part of a technical organization while talking with customers.

• Profound curiosity to figure out why something works the way it does / to learn more
• Working experience with Unix/Linux and/or Bash
• Working experience with Kubernetes containerized solutions
• Working experience with code hosts such as GitHub, GitLab and BitBucket
• Strong understanding of databases, especially SQL 
• Compassion to meet our customers (who are all developers themselves) where they are, understand their issues, and be compelled to action
• Experience collaborating with cross-functional teams to solve difficult problems for customers
• Proficiency in communicating complex technical ideas and decisions to a variety of audiences (both technical and non-technical)
• Some experience using Large Language Models (LLMs) and AI tooling,  and how they work
• 2+ years experience in a similar role

Nice to have:

• Foundational knowledge of APIs and/or Git
• Foundational knowledge of cloud computing with AWS, GCP or Azure DevOps
• Experience writing code in Go or another language
• Basic knowledge of or experience with Perforce
• Basic understanding of AI tools and how developers use them

Level

📊 This job is an IC2. You can read more about our job leveling philosophy in our Handbook.

Compensation

💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. You will have the flexibility to work and live anywhere in the world (unless specified otherwise in the job description), and we’ll never take your location or current/past salary information into account when determining your compensation.  As an open and transparent company that values equitable and competitive compensation for everyone, our compensation ranges are visible to every single Sourcegraph Teammate. To determine your salary, we use a number of market and data-driven salary sources and target the high-end of the range, ensuring that we’re always paying above market regardless of where you live in the world.  

💰 The compensation for this role is $84,800 USD base.

📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.

Interview process

👋 Introduction Stage - we have initial conversations to get to know you better…

• [30 min] Recruiter Screen 
• [45 min] Hiring Manager screen / Resume Deep Dive

🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team…

• [Async 1.5 hr] You complete a technical project and we share the results over email.
• [60 min] Technical knowledge/troubleshooting + collaboration/communication skills with an existing member of our Support Engineering team.  

🎉 Final Interview Stage - we move you to our final round, where you meet cross-functional partners and gain a better understanding of our business and values holistically…

• [30 min] Values interview
• [15 min] Leadership 
• We check references and conduct your background check

Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.

We are building a brand-new AI product and are looking for a technical Senior Product Manager to lead it from concept to market. This is a greenfield opportunity: you will define what the product is, who it serves, and how it works. A core part of this vision is leveraging Customer Data Platform (CDP) capabilities to unify merchant customer data and power intelligent, personalized messaging experiences at scale.

You will partner closely with machine learning engineers, prompt engineers, product designers, and product engineers — and you'll be expected to go deep technically, not just facilitate. You can read code, write SQL, interrogate data pipelines, and stress-test ML model outputs firsthand.

All positions at Postscript are fully remote.

Primary Duties

• Own the end-to-end product lifecycle for a new AI product, from discovery through launch and iteration
• Define product vision, strategy, and roadmap grounded in deep customer understanding, AI/ML feasibility, and ecommerce CDP architecture
• Architect and drive CDP strategy — including customer identity resolution, behavioral event ingestion, real-time profile unification, audience segmentation, and downstream activation — with enough technical depth to make meaningful build vs. buy decisions
• Define the data contracts and schema design governing how first- and zero-party data flows from Shopify storefronts into unified customer profiles, and how those profiles are consumed by AI models and automation systems
• Partner directly with MLE and prompt engineering to evaluate model capabilities, define evaluation harnesses, set guardrails, and co-design human-in-the-loop experiences — not just review specs, but participate in technical design reviews
• Partner with Engineering to design segmentation and activation frameworks that enable merchants to reach the right customer with the right message at the right moment, powered by real-time CDP data signals
• Design and run rapid experiments to validate hypotheses; define success metrics, instrument tracking, and analyze results yourself where possible
• Write rigorous product specs, success criteria, and evaluation frameworks for AI features — covering accuracy, latency, safety, and user trust
• Collaborate cross-functionally with engineering, design, CSMs, and leadership to ship and iterate
• Develop and maintain a deep competitive understanding of the AI and CDP landscape in ecommerce/SMS
• Serve as the internal and external evangelist for the AI product vision

What We'll Love About You

• 5+ years of product management experience, with 2+ years owning AI/ML-powered products in a hands-on technical capacity
• Strong technical foundation — you have an engineering, data science, or comparable background; you're comfortable in code reviews, data model discussions, and system design conversations
• Direct, hands-on experience with CDP architecture — you understand event streaming, identity graphs, audience segmentation pipelines, and real-time data activation, and can evaluate tradeoffs in how they're built
• Fluency with ecommerce data models: purchase history, browse behavior, LTV, churn signals, RFM segmentation, and how these signals feed personalization and predictive ML models
• Direct experience taking a product from zero-to-one; you've made foundational technical and architectural decisions, not just roadmap ones
• Experience in ecommerce SaaS, martech, or messaging platforms is highly preferred
• Deep technical fluency with AI/ML: you can discuss model architectures, prompt engineering, fine-tuning, evaluation metrics, and data pipelines as a peer — not just a stakeholder
• You write SQL, read Python, and can instrument your own analytics — you don't wait for a data analyst to answer your product questions
• Understanding of data privacy, consent, and compliance (TCPA, GDPR, CCPA) as they apply to CDP data collection, storage, and activation at scale
• Strong product intuition for when AI adds real value vs. when it doesn't — you are not an AI hype person, you are an AI pragmatist
• Demonstrated ability to ship fast, learn from data, and iterate — you prefer a working v1 over a perfect PRD
• Excellent written and verbal communication; you can translate complex technical concepts for merchants, CSMs, and executives without losing precision
• You have built something with AI tools — a prototype, a script, an internal tool. You don't just spec; you ship. Bonus if you can show us.

What You'll Love About Us

• Salary range of USD $150k–$206k base plus significant equity (we do not have geo-based salaries)
• High-growth startup — plenty of room for you to directly impact the company and grow your career
• Work from home (or wherever)
• Fun — we're passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.

To learn more about our Hiring Range System, please click this link.

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. 

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. 

About this team and role:

The Firefox User Research team champions human-centered exploration of complex problems, using evidence, data, and insight to drive decision-making. We use quantitative and qualitative research to understand business needs and uncover user insights that inform product and design strategy.

As a Staff Quantitative User Researcher, you’ll lead strategic and tactical quantitative studies, working with product managers, designers, engineers, data scientists, product marketers, and fellow researchers. You’ll apply quantitative methods to scientifically understand users’ experiences, needs, motivations, and behaviors at scale, translating those findings into clear, actionable insights that shape roadmaps and strategies.

What you’ll do:

• Own strategic, end-to-end quantitative research initiatives from scoping business needs and designing surveys to synthesizing data and communicating actionable recommendations to influence product decisions.
• Partner cross-functionally at a strategic level with product, design, engineering, data science, and marketing to develop a research roadmap, identify high-impact research opportunities, and align insights to business priorities.
• Champion user-centered decision-making by embedding quantitative research into product strategy, advocating for user needs, and influencing leaders across functions.
• Analyze and translate complex data sources (e.g., surveys, behavioral data, and market intelligence) to build cohesive, evidence-based perspectives on user experience and audience insights.
• Help elevate the quantitative research practice by mentoring peers, refining methods and tools, and scaling approaches that increase the visibility and impact of user insights across Firefox.

What you’ll bring: 

• 7+ years of experience in a user, product, or market research setting or similar, with a strong focus on quantitative research.
• Extensive experience leading survey research across the product development lifecycle, using quantitative insights to measure and influence product and business decisions.
• Deep expertise in empirical survey methods (e.g., planning, sampling, weighting, statistical analysis) and applications (e.g., product needs, audience understanding, tracking studies, concept testing, panel surveys, intercept surveys).
• Highly proficient in R for statistical programming and analyzing survey data. 
• Experience using SQL to integrate behavioral data with survey responses to tell a cohesive user-focused story.
• Demonstrated ability to craft compelling narratives using quantitative data and visualizations.
• Demonstrated success operating in fast-paced, agile environments, adapting to shifting priorities while maintaining research impact.
• Experience collaborating with qualitative researchers to enable mixed methods research designs and roadmaps. Hands-on qualitative research experience is a bonus.
• Strong judgment in balancing research depth and speed, delivering insights that are both actionable and impactful for product and business decisions.
• Collaborative and influential communicator, skilled at building partnerships with cross-functional teams and driving alignment through evidence-based insights.
• Commitment to our values:
• Welcoming differences
• Being relationship-minded
• Practicing responsible participation
• Having grit

What you’ll get:

• Generous performance-based bonus plans to all eligible employees - we share in our success as one team
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave
• Employee referral bonus program
• Other benefits (life/AD&D, disability, EAP, etc. - varies by country)

About Mozilla 

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-DNI

Req ID: R3054

About Brightfield

At Brightfield, we are revolutionizing the way organizations manage their workforce. As a pioneer in workforce analytics, our AI-powered platform, TDX (Talent Data Exchange), helps the world’s largest companies make smarter decisions about how they design, source, and manage their extended workforce.

With over $573B in real-world workforce spend data from 139 countries, we provide the insights our customers need to reduce costs, manage risk, and unlock new levels of agility and performance. Since 2006, we’ve been trusted by the Global 2000 to guide strategic workforce decisions with clarity and confidence.

We are a fully remote team of data-driven innovators, problem solvers, and industry experts who value flexibility, ownership, and continuous learning. At Brightfield, how we work together matters—and we’re building a company where curious, driven people can do their best work.

About the Role

Brightfield is seeking a Senior Data Integration Engineer to play a critical role in designing, building, and scaling the data pipelines and integrations that power TDX. This role is focused on integrating TDX with the customer’s data, workflows and processes.

You will lead the data integration and implementation of TDX API, data pipelines and integrations across internal systems, customer data sources, and third‑party platforms. This is a hands-on, senior-level role for an engineer who thrives in complex data environments, brings strong architectural judgment, and takes pride in building reliable and scalable data solutions. You will partner closely with Product, Data & Analytics, and Engineering to support Brightfield’s customers.

What You’ll Do

• Develop and manage integrations between internal systems, customer environments, SaaS platforms, and data warehouses using APIs and workflow orchestration tools.
• Analyze customer’s workflows and data sources to integrate, ingest and unify customer’s data and onboard to TDX platform.
• Implement TDX APIs with customer and partner solutions.
• Support Brightfield’s existing taxonomy and data processes, models, mappings, and transformation logic to support consistent, high-quality data output across the Brightfield platform.
• Optimize data pipelines for performance, scalability, resiliency, monitoring, and data quality.
• Ensure data integrity, security, and compliance by implementing validation, access controls, and governance best practices.
• Collaborate cross-functionally with Product, Data Science, Analytics, and Customer-facing teams to translate customer’s business and product requirements into technical solutions.
• Contribute to continuous improvement of Brightfield’s data analysis, infrastructure, tooling, and best practices.

What You Bring

• 5+ years of experience in data engineering, data integration, or backend software engineering, with a strong focus on building production data pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• Expert-level proficiency in Python and SQL, with deep experience transforming and working with large, complex datasets (structured and unstructured).
• Hands-on experience implementing customer workflows through REST APIs, including working with JSON data formats.
• Strong experience working with AWS and other cloud platforms and modern data warehouses (e.g., Snowflake).
• Solid understanding of data modeling, ETL/ELT best practices, and data quality management.
• Proven ability to troubleshoot complex data and integration issues across distributed systems.
• Comfort working in a remote-first, highly collaborative environment with distributed teams.
• Experience integrating enterprise or customer data at scale, particularly in analytics, SaaS, or data platform environments.
• Familiarity with event-driven architectures, message queues, or streaming technologies.
• Experience supporting AI, analytics, or machine learning workflows through reliable data pipelines.
• Knowledgeable in using AI to build and deploy data solutions.
• Prior experience mentoring or leading technical initiatives across teams.

The Role: Strategic Operations Manager, Operational Excellence

The Provider Operations team is responsible for enabling high-quality, efficient provider engagement and driving performance across the Provider Growth team. This role sits within our Operational Excellence function and is responsible for defining, owning, and scaling the systems, workflows, and operating model that power Provider Operations.

This is a highly strategic and analytical role focused on end-to-end process design, cross-functional alignment, and long-term scalability. You will partner closely with Sales, RevOps, Product, and Marketing to define “what good looks like” and ensure Provider Operations can operate efficiently at scale.

You’ll spend approximately 50% of your time leading and executing critical initiatives, and 50% helping to define strategy, frameworks, and performance standards to drive measurable improvements across the organization leveraging data.

Responsibilities

• Operating Model + Workflows: Support the end-to-end design and evolution of Provider Operations workflows. Define and standardize how work gets done across the Provider Growth organization.
• Strategic Planning & Initiative Leadership: Define and lead high-impact, cross-functional initiatives. Set direction, align stakeholders, and ensure scalable implementation.
• Cross-Functional Alignment: Partner cross-functional to translate operational needs into scalable system and tooling improvements. Act as the bridge between frontline workflows and technical solutions.
• Operational Excellence: Drive a culture of operational excellence by standardizing processes, documentation, and best practices across Provider Operations.
• Problem Solving: Identify systemic inefficiencies and design solutions across people, process, and technology to improve scalability, consistency, and provider experience.

Must-Have Qualifications

• Experience: 4+ years of proven experience using analytics to solve complex business or operational problems across multiple teams, ideally in a high-growth, fast-paced environment; Bachelor’s degree in Business, Operations Management, or a quantitative field.
• Problem Solving: Exceptional problem-solving skills with a track record of delivering high-impact results. Ability to approach ambiguous challenges with structured thinking and creativity.
• Strategic Thinking: Ability to define and drive long-term strategy while balancing immediate operational needs.
• Technical Proficiency: Proficiency in data analysis tools (Google Sheets, SQL, BI tools), with the ability to interpret data and translate insights into system-level improvements.
• Collaborative Mindset: Strong experience gathering requirements and partnering with cross-functional stakeholders. Ability to influence and align teams across technical and non-technical functions.
• Communication Skills: Ability to clearly articulate strategy, frameworks, and recommendations to both technical and non-technical audiences.
• Project Management: Proven ability to lead large-scale, cross-functional initiatives from concept through implementation.
• Adaptability/Resiliency: Thrives in ambiguity and can operate effectively in a fast-paced, evolving environment.

Director, Revenue Operations

About Plooto

Plooto is a Canada-born fintech company on a mission to give small and mid-sized businesses the financial power to succeed on their own terms. We make payments secure, accurate, and stress-free so businesses and their accountants can spend less time in the books, confidently manage cash flow, and make smarter decisions every day. We’re a team that builds with integrity, agility, and heart, and we’re looking for customer-minded pros who share our passion to join us as we scale.

Director of Revenue Operations

We’re looking for a Director of Revenue Operations to build and scale the systems, processes, and insights that power our go-to-market engine. This role sits at the center of Sales, Marketing, Customer Success, and Finance—driving alignment, improving performance, and enabling predictable, scalable revenue growth as Plooto continues to grow.

You’ll bring structure to how we operate, clarity to how we measure success, and momentum to how we execute. You’ll also play a key role in modernizing how we work, leveraging AI and automation to make our GTM teams faster, smarter, and more effective.

What You’ll Do

• Own and optimize the end-to-end revenue engine across Marketing and Sales - from lead to close to expansion and retention
• Build and optimize a hybrid product-led and sales-supported growth model - ensuring a smooth experience between in-product conversion and rep-led or channel-driven sales where needed
• Drive forecasting, pipeline management, and reporting to improve predictability and decision-making
• Partner with GTM leaders to define targets, KPIs, and performance frameworks that align to company goals
• Build and scale revenue processes that are efficient, repeatable, and adaptable as we grow
• Improve data quality, visibility, and accessibility across the funnel to enable better insights and faster decisions
• Lead CRM (Salesforce) strategy, governance, and ongoing optimization
• Own and evolve the revenue tech stack, ensuring systems are integrated, scalable, and delivering real value
• Identify and implement automation and AI-driven solutions to increase efficiency, improve accuracy, and unlock new capabilities across GTM teams
• Support strategic planning, including annual planning, territory design, and capacity modeling
• Analyze performance trends and deliver clear, actionable recommendations to leadership
• Build and lead a high-performing RevOps function as the company scales

How You Work

• AI-native operator: You don’t just use AI, but you rethink how work gets done with it. You’ve implemented AI to automate workflows, enhance decision-making, enrich data, or unlock new insights. You can point to specific examples where AI meaningfully improved speed, quality, or revenue outcomes.
• Deeply collaborative partnerships: You approach RevOps as both a strategic and service function. You listen first, understand the real problem, and work alongside stakeholders to design the right solution. You build trust through partnership and consistently elevate the teams around you.
• Systems thinker with a bias for action: You see how tools, data, and processes connect—but you don’t over-engineer. You prioritize what matters, move quickly, and iterate as you go.

What You Bring

• 7–10+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy
• Experience in a high-growth SaaS environment (fintech experience is a major plus)
• Hands-on experience owning and optimizing a modern revenue tech stack
• Proven ability to integrate systems and ensure clean, reliable data flows across the funnel
• Demonstrated experience applying AI and automation to improve GTM performance (e.g., forecasting accuracy, pipeline generation, sales productivity, customer expansion)
• Strong expertise in forecasting models, dashboards, and reporting frameworks
• Deep understanding of funnel metrics, pipeline dynamics, and revenue drivers
• Strong analytical skills, with experience using SQL, BI tools, or data platforms (preferred)
• Track record of driving cross-functional alignment and influencing senior leaders
• Experience building or scaling RevOps processes in a growing organization
• Excellent communication skills - able to translate complex data into clear, actionable business insights
• Bachelor’s degree in Business, Finance, Analytics, or a related field (MBA or relevant certifications are a plus)

Why Become a Plootonian?

If you’re looking to make a meaningful impact, look no further. We’re transforming the payments space in North America by delivering an unrivalled product experience to solve a real and pressing problem for SMBs.

The biggest reason small businesses fail is poor financial management and cash flow — and Plooto fixes that. We have strong product-market fit, a massive opportunity ahead, and the backing of experienced fintech leaders.

You’ll join a team that cares deeply about customer impact, takes pride in our craft, and moves with urgency. We’re just getting started — and you’ll help shape the next chapter of our growth story.

Join Plooto and be part of a mission that matters.

What We Value

• Curiosity and a drive to continuously improve how work gets done
• Ownership and accountability—you follow through and deliver results
• Thoughtful, intentional execution over unnecessary complexity
• A genuine desire to help teams succeed and perform at their best

Show Us

We care deeply about how you think and operate.

Be ready to share specific examples of how you’ve used AI to meaningfully improve a go-to-market workflow, decision, or outcome—and how you partnered with stakeholders to make it successful.

Equal Opportunity & Accessibility

We are an equal opportunity employer and are committed to building a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds and experiences. Accommodations are available upon request throughout the recruitment and selection process. If you require accommodation, please contact us at HR@plooto.com.

AI in Hiring

We may use technology, including artificial intelligence, to assist in the screening, assessment, or selection of applicants. These tools are used to support fair and consistent hiring practices.

Applicant Privacy & Process

We thank all applicants for their interest; however, only those selected for further consideration will be contacted. There is one vacant role open for this position.

We’re looking for a Senior Systems Analyst to lead complex data migration efforts for our customers. In this role, you’ll own the end-to-end migration lifecycle – working directly with customers to analyze, map, transform, and validate data as it moves from legacy systems into Bridgeway’s platform. 

This is a hands-on, customer-facing role for someone who is comfortable solving problems in real time and driving migrations to a successful go-live. 

Responsibilities: 

• Lead full-cycle data migrations across multiple customer projects (discovery → mapping → transformation → validation → go-live)
• Act as the primary technical contact for customers, guiding data strategy, surfacing risks, and managing expectations
• Collaborate with Business Analysts and other Professional Services teams to understand data requirements, provide data analyses to assist with the configuration of our software, and accurately map data to meet customer needs
• Analyze and validate large, complex datasets using advanced SQL
• Build and execute ETL/ELT processes (SSIS, Talend, Informatica, or similar)
• Develop data mapping logic, transformation rules, and validation strategies
• Identify and resolve data quality issues through profiling, cleansing, and root cause analysis
• Work across file formats (CSV, Excel) to support data exchange
• Plan and execute cutover activities, including go-live coordination and validation sign-off
• Partner with internal teams to troubleshoot issues and ensure accurate data delivery
• Mentor junior team members and contribute to improving migration processes and standards 

Requirements: 

• 5+ years of experience in data migration, warehousing, systems analysis, or ETL-focused roles
• Bachelor’s degree in Computer Science or a related field
• Advanced SQL or Python skills (complex queries, joins, performance tuning)
• Hands-on experience with ETL/ELT tools (SSIS preferred)
• Experience with scripting (Python or PowerShell) for automation
• Proven ability to manage multiple migrations at once without dropping the ball
• Strong customer-facing communication skills—you can explain technical issues without hiding behind jargon
• Use and understanding of data dictionaries, source to target mapping, and relational database concepts required
• High attention to detail and a problem-solving mindset
• Exposure to AI for data analysis, validation, or development a plus
• Databricks, Snowflake or similar a plus 

Bridgeway is an equal opportunity employer.

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

• Design, develop, and maintain a scalable data warehouse/lakehouse environment.
• Design and implement ELT pipelines to ingest, transform, and deliver high-quality data for analytics and reporting, incorporating current best practices, such as “pipelines as code”.
• Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
• Optimize performance of data workflows and storage for cost efficiency and speed.
• Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
• Define and implement robust testing frameworks, enforce data contracts, and establish observability practices including lineage tracking, SLAs/SLOs, and incident response runbooks to maintain data integrity and trustworthiness.
• Monitor, troubleshoot, and resolve data & automation issues.
• Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
• Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

• 5+ years of experience in data engineering and ELT with a focus on large-scale data platforms
• 3+ years of experience with Databricks
• Advanced proficiency in analytical SQL, including ANSI SQL, T-SQL, and Spark SQL
• Strong Python skills for data engineering
• Expertise in data modeling
• Hands-on experience with data quality and observability practices (tests, contracts, lineage tracking, alerts)
• Practical knowledge of orchestration tools and CI/CD concepts for data workflows
• Excellent communication and a track record of technical leadership and mentoring
• Strong understanding of integrating data solutions with AI and machine learning models
• Strong problem-solving skills and attention to detail.
• Experience with version control systems like Git preferred
• Strong understanding of data governance and best practices in data management, with hands-on experience using Unity Catalog
• Hands-on experience in designing and managing data pipelines using Delta Live Tables (DLT) on Databricks
• Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran
• DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred

Growe welcomes those who are excited to:

• Design, build, and maintain backend services using .NET (C#);

• Develop and evolve microservices in a production environment;

• Support existing functionality and ensure backward compatibility of releases;

• Work on core domain flows such as accounts, registration, authentication, wallet, and related business capabilities;

• Participate in task analysis, decomposition, and effort estimation;

• Deliver completed tasks for testing and collaborate with QA during test phases;

• Build integrations using asynchronous communication and event-driven patterns;

• Work with relational databases, transactional flows, and optimize query performance;

• Identify performance bottlenecks and contribute to system design improvements;

• Contribute to service observability (logs, metrics, traces, dashboards, monitoring);

• Manage deployment configurations and manifests in Kubernetes environments;

• Work in a GitOps setup and participate in deployment and operational ownership;

• Collaborate with DevOps teams on infrastructure-related changes (including Terraform workflows);

• Participate in on-call rotation and handle production incidents;

• Identify technical debt and propose improvements; 

• Perform high-quality code reviews focusing on maintainability, performance, and consistency.

We need your professional experience:

• 5+ years of commercial backend development experience with C# / .NET (6+), .NET Core / ASP.NET Core;

• Solid understanding of microservices architecture and distributed systems;

• Experience with asynchronous communication and event-driven architectures;

• Experience with message brokers (Kafka or similar);

• Strong knowledge of relational databases (SQL, transactions, indexing, performance tuning), PostgreSQL will be a plus;

• Experience with ORM tools (e.g., Entity Framework);

• Experience writing Unit and Integration tests; 

• Understanding of authentication and authorization (OAuth 2.0, OpenID Connect);

• Good understanding of software design principles (SOLID, separation of concerns, testability);

• Understanding of observability and monitoring in production systems;

• Experience troubleshooting performance and memory issues;

• English - Upper Intermediate;

• Experience with Orleans, Redis will be a plus;

• Experience with AWS, Kubernetes, Terraform will be a plus;

• Experience with Grafana, Loki, Tempo will be a plus.

We appreciate if you have those personal features:

• Good communication skills;

• Multitasking, quick task execution;

• Good team player;

• Responsibility.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;

• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

Growe welcomes those who are excited to:

• Define key metrics and methodologies for Marketing and CRM analytics, align them with overall business goals, and assist in efficient decision-making;

• Identify opportunities and issues through data analysis, bring insights, and present them in an easy, actionable way;

• Work independently and autonomously, collaborating closely across Marketing, Finance, and Product to provide regular updates on the effectiveness of all marketing channels on the acquisition pipeline;

• Maintain data integrity from various sources, actively challenge and improve existing data flows;

• Contribute to the enhancement of accuracy, reliability, and overall data quality;

• Develop user-friendly Tableau dashboards to monitor primary Marketing and CRM KPIs, both existing and new;

• Recommend innovative ideas for optimizing marketing performance and efficiency;

• Lead automated reporting for timely and accurate information delivery.

We need your professional experience:

• At least 3 years of analytical experience, preferably in B2C marketing analytics;

• Understanding of multi-touch attribution mechanisms;

• Advanced proficiency in SQL;

• Proficiency in Tableau or similar tools;

• Solid statistical knowledge and experience in using statistics to analyze complex data;

• At least an Intermediate level of English;

• Familiarity with GIT and Airflow is a plus;

• Experience with Python libraries is also a plus.

We appreciate those skills and personal features:

• Capability to work self-sufficiently;

• Attention to detail and strong work ethic;

• Proactive and result-oriented mindset.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;

• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

Growe welcomes those who are excited to:

• Analyze partner traffic, user behavior, payments, and promo campaign performance;

• Build and automate reporting in Tableau, SQL, and Google Sheets — from daily dashboards to monthly summaries;

• Work with data from multiple sources, validate and clean it, and prepare it for analysis;

• Help affiliate and brand teams find answers: which sources perform best, what needs fixing, which creatives convert;

• Monitor data quality, identify anomalies and inconsistencies, and ensure metric accuracy across reports;

• Participate in hypothesis testing and suggest improvements across traffic, bonuses, and partner engagement;

• Translate complex data into clear visuals and actionable recommendations for different stakeholders.

We need your professional experience:

• 3+ years of experience in data analytics;

• Proficient in SQL, Tableau, and Google Sheets / Excel (pivots, lookups, formulas, data structuring);

• Understanding traffic sources, experience working with large databases;

• Strong skills in data validation, process automation, and logic structuring for business metrics;

• Experience working closely with cross-functional teams (marketing, finance, affiliate, brand);

• Ability to clearly present findings — both visually and in writing;

• English — Upper-Intermediate (some teams operate fully in English).

We appreciate if you have those personal features:

• Strong analytical and structured thinking — you bring order to a high number of data;

• High level of responsibility and proactivity — you don’t just wait for tasks, you identify opportunities;

• Ability to explain complex things in a simple and relatable way;

• Flexibility and adaptability — you stay calm, when plans shift;

• Comfortable managing multiple priorities at once without losing clarity or speed;

• A healthy dose of perfectionism — you don’t ship dashboards unless they’re solid and clear.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals; 

• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

Your Role: 

Our brokerage product team at Alpaca is looking for a Lead Product Manager to define and drive new product initiatives and manage a portfolio of existing products. In this role you will ideate and deliver brokerage features while closely collaborating with engineering, analytics, design, partnerships and many other cross-functional teams across Alpaca.

Things You Get To Do:

• Own brokerage products
• Write product requirements and work with engineers to execute programs
• Drive brokerage product strategy by analyzing ROI, market competition, and build-vs-buy scenarios
• Improve the brokerage operation efficiency by providing solutions and owning the metrics
• Contribute to the product roadmap and product strategy
• Lead customer calls around brokerage process and product issues to gain insights and reduce them to products
• Participate in calls with external regulators to drive the product strategy and execution
• Report timely and accurately on product status and results to internal and external stakeholders
• Ad hoc duties and projects as assigned

Who You Are (Must-Haves):

• Excited about what Alpaca is building 
• Bachelor's degree in computer science or equivalent
• 5+ years of experience in Product Management, Engineering, and/or starting a startup 
• Demonstrated interest in Brokerage and FinTech
• Experience analyzing data using SQL and a relevant BI tool
• Strong communication skills, both written and verbal and collaboration skills
• Business acumen to understand tradeoffs between stakeholders and technology feasibility with time and budget constraints

 Who You Might Be (Nice-to-Haves):  

• Experience and background working on and developing Brokerage products is a plus 
• Technical background working with APIs

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

What We're Looking For

We are seeking a highly experienced Staff Software Engineer to join our team and help lead the design, development, and scaling of our cryptocurrency and blockchain-focused platforms. As a Staff Engineer, you will serve as a technical leader, driving architecture decisions, mentoring engineers, and delivering robust, secure, and high-performance solutions in the crypto space. The ideal candidate brings expertise in designing and implementing enterprise-grade software solutions, with a strong foundation in distributed systems, SOLID principles and modern software design patterns.

Responsibilities:

• Provide technical leadership: define and drive the technical vision and architecture for crypto-related products, services, and infrastructure
• Design, develop, and deliver scalable, secure and performant software components
• Provide technical mentorship and guidance to senior and mid-level engineers; conduct code reviews and promote engineering best practices
• Stay at the forefront of blockchain protocols, DeFi, tokenization standards, and crypto industry trends; evaluate and recommend emerging technologies
• Drive system reliability, incident response, and operational excellence across crypto platform services

Qualifications:

• 5+ years of experience with blockchain technologies, cryptocurrency protocols, or digital asset platforms
• 10+ years of experience developing enterprise systems in C#
• 10+ years of experience with SQL, preferably PostgreSQL or SQL Server
• Deep understanding of blockchain fundamentals — consensus mechanisms, smart contracts, wallet management, key custody, transaction signing, and on-chain/off-chain data flows
• Experience integrating with major blockchain networks (e.g., Bitcoin, Ethereum, Solana, or similar)
• Solid grasp of cryptographic principles — hashing, encryption, digital signatures, HSMs, and key management
• Strong communication skills
• Cloud Architecture - preferably AWS
• Docker / Containers
• Experience designing and developing distributed systems and event driven architecture is a plus. Ideally with understanding or exposure to:  
• MassTransit or NServiceBus
• RabbitMQ
• Idempotency

#LI-JJ1 #LI-Hybrid

Salary Range: $190,000.00 - $220,000.00