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!

Position Overview

The Director of Revenue Operations will lead the global Revenue Operations function, responsible for designing, scaling, and optimizing the systems, processes, and data infrastructure that power end-to-end revenue generation across the organization.

This role sits at the intersection of Sales, Marketing, Customer Success, Finance, and Data, and plays a critical role in driving operational alignment, revenue visibility, and scalable growth.

The ideal candidate is both strategic and hands-on, with strong experience in building RevOps infrastructure in fast-moving environments, including Salesforce ecosystems, BI platforms, and cross-functional GTM process design. In addition, this role is expected to actively drive AI-enabled transformation across GTM processes, including automation, predictive analytics, and AI-assisted revenue workflows.

Key Responsibilities:

1. Revenue Operations Strategy, Systems & Leadership

• Own and execute the global RevOps strategy aligned with company growth
• Serve as strategic partner to CRO, COO, and GTM leadership
• Lead GTM systems, including Salesforce, BI, and core revenue infrastructure
• Define scalable operating model, KPIs, governance, and revenue processes

2. GTM Process, Data & Performance Infrastructure

• Own end-to-end GTM process design from lead to cash and monitiziation
• Drive revenue reporting, forecasting, and BI dashboards (Tableau)
• Maintain single source of truth for revenue, pipeline, and performance data
• Ensure alignment between operational and financial reporting models

3. Systems Transformation, Automation & AI Enablement

• Lead Salesforce architecture, consolidation, and continuous optimization
• Drive automation across GTM workflows to reduce manual effort and increase scale
• Evaluate and optimize GTM tech stack for efficiency and consolidation
• Lead AI initiatives across RevOps, including forecasting, insights generation, and workflow automation

4. Integration, Commissioning & Sales Operations

• Lead RevOps integration across mergers and business units
• Own commission and incentive infrastructure and reporting systems
• Ensure alignment between compensation models, performance tracking, and revenue outcomes

5. Team Leadership

• Build and lead a high-performing RevOps team across systems, analytics, and operations
• Drive execution discipline, ownership culture, and data-driven decision making
• Partner with leadership on org design and capability development

Key Qualifications

• 8+ years in Revenue Operations leadership positions, Sales Operations, or GTM Operations
• Strong Salesforce and RevOps systems expertise
• Experience with BI tools such as Tableau
• Proven experience in GTM transformation, system integration
• Strong executive stakeholder management (CRO, COO, CFO)
• Hands-on builder with strategic leadership capability
• Experience in AdTech or SaaS environments preferred
• Familiarity or experience with AI-driven GTM transformation is a strong advantage

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 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.

SUMMARY: Leads the evolution from traditional web analytics to an insight-driven approach that connects customer behavior to business action. This role is the bridge between analyst reporting and product management. The individual ensures Therapeutic Area (TA) and Direct-to-Consumer (DTC) Product Managers have the consumer intelligence needed to make better decisions faster, shifting the team from reactive reporting to proactive web experience design.  

HIERARCHY: Practice Area Manager – Agency Services 

PRIMARY DUTIES: 

• Turn Data into Story: Synthesize behavioral, journey, and performance data into clear, actionable insights; build narratives connecting site activity to consumer challenges and business outcomes; deliver recurring, tailored insight packages to stakeholders.  
• Own the Customer Journey: Map and analyze end-to-end digital experiences to identify friction, drop-off points, and unmet needs; maintain a portfolio-level experience health dashboard.  
• Drive Action & Optimization: Partner with product, marketing, UX, and engineering to prioritize improvements; lead test-and-learn strategies (A/B testing, personalization); measure the impact of post-launch changes.  
• Champion the Customer Voice: Integrate Voice of Customer (VoC), behavioral analytics, and qualitative insights into a unified understanding; proactively surface insights to DTC Product Managers.  
• Influence Strategy: Advocate for customer-first thinking; make complex data accessible for leadership; apply industry trends and competitive benchmarks to elevate capabilities.  

COMPETENCY: 

• Digital analytics and journey analysis  
• Storytelling and executive communication  
• Experimentation and optimization frameworks  
• Cross-functional leadership  
• Customer-centric thinking  

REQUIRED EDUCATION: Bachelor’s degree in Marketing Analytics, Digital Marketing, Data Science, Human-Computer Interaction (HCI), or a related field.  

EXPERIENCE: 

• 5+ years in digital analytics, consumer experience insights, or a similar insights-to-action role.  
• Hands-on proficiency with GA4 and Adobe CJA (custom explorations, segments, attribution analysis).  
• Experience with Medallia heatmaps/surveys or comparable VoC platforms.  
• Demonstrated ability to deliver prioritized, actionable recommendations.  
• Proven skill communicating complex findings to non-technical stakeholders.  
• Strong understanding of web UX, journey mapping, and conversion optimization.  

LANGUAGE SKILLS: Proficient in English and communication 

QUALIFICATIONS: 

• Additional Preferences: Pharmaceutical/healthcare digital experience (including regulated content review), familiarity with Adobe Target/AEP, experience with visualization tools (Power BI, Tableau, Looker), knowledge of SEO analytics, familiarity with Agile/SAFe frameworks, and understanding of CMS platforms (Adobe AEM).  

PHYSICAL DEMANDS: REMOTE. Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. Regular, repetitive movements such as typing, mouse movements, and scrolling. Ability to hear and understand spoken communications, both in person and via remote communication tools. Ability to see and read computer screens and printed documents, as well as adjust focus. This includes prolonged periods of looking at a computer screen.  

WORK ENVIRONMENT: Remote  

EXPECTED HOURS OF WORK: Monday-Friday, Standard Business Hours  (CST/EST)

TRAVEL: potential for occasional/once a year for a conference.  

ADA Statement 

To perform the job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. 

EEO/AA Statement 

New Era Technology provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, national origin, religion, pregnancy, marital status, gender identity, age, physical or mental disability, or covered veteran status.  

In addition to federal law requirements, New Era Technology complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

People Strategy & Enablement (PS&E) bridges the gap between strategy and impact. We create clarity and momentum for People initiatives, partnering cross-functionally to design and run scalable programs and products that improve decisions, reduce friction, and support sustainable growth. By enabling operational excellence and alignment, we ensure the People team can move faster and with confidence.

Our work spans five core areas: strategic planning and roadmap prioritization to ensure the People team focuses on the highest-value initiatives; pillar management to track health, risks, and progress of strategic initiatives with transparency and accountability; project management to provide the discipline and structure required to move initiatives across the finish line — from inception through delivery; design readiness and change management to prepare the organization to adopt and sustain new programs; and People operating rhythms to organize and facilitate planning cadences and forums that keep the organization aligned and moving.

The role

This is not a typical project management role. As Project Manager for People Operations Intake & Portfolio, you will own the systems, processes, and judgment layer that determines what the Partners, Operations & Insights (POI) organization works on — and in what order. You will be the connective tissue between the People team's ambitions and POI's capacity, serving as the first point of contact for all work requests flowing into POI's four core teams: People Solutions, People Data Analytics & Research (PDAR), People Partners, and Employee Relations & HR Compliance.

You will build and run Stripe's POI intake and prioritization process end-to-end — from designing the intake experience for requestors, to triaging and evaluating incoming Jira tickets, to facilitating prioritization conversations with POI and People team leaders. As this function matures, you will expand into a broader portfolio intelligence role: the key strategic partner to all People team requestors, ensuring that the organization's most limited resource — team capacity — is always directed at the highest-priority work.

Critically, you will also build an AI agent to power and scale this work. You will design, iterate on, and deploy an intelligent intake assistant that helps with automated scoping, duplicate request detection, time commitment estimation, resourcing recommendations, and prioritization guidance — upleveling the quality of every intake interaction across the org.

What you'll do

• Own and operate the POI intake process end-to-end. Manage the Jira-based intake system, ensuring all incoming requests are triaged promptly, routed correctly, and tracked through their full lifecycle from submission to delivery.
• Serve as the primary intake partner for People team requestors. Act as a knowledgeable, approachable first point of contact who helps teams scope and frame requests well, setting clear expectations on timelines, effort, and likelihood of prioritization.
• Facilitate regular intake and portfolio cadences. Set cadence for POI Intake reviews, backlog grooming, and  full roadmap reviews.
• Identify systemic patterns and surface insights to leadership. Synthesize trends across intake submissions to proactively flag capacity constraints, recurring themes, capability gaps, and emerging risks before they become blockers..
• Apply strategic judgment to prioritize the POI portfolio. Evaluate incoming tickets against People team SOKRs, the 3-Year Plan (3YP), and establish prioritization frameworks.
• Build and maintain portfolio visibility and capacity reporting. Develop dashboards and reporting that give POI leadership and People team stakeholders real-time insight into resource allocation, queue depth, and roadmap health. Participate in quarterly business reviews and annual planning cycles.
• Design, build, and continuously improve an AI agent for intake. Create an intelligent agent that automates and enhances the intake experience, that ultimately can be deployed to reduce time-to-decision and improve requestor experience at scale.
• Continuously improve the intake experience. Build and maintain requestor-facing documentation, submission guides, communication templates, and onboarding materials that reduce friction and improve ticket quality at submission.
• Partner with POI leaders and People team leaders on resourcing and prioritization conversations. Prepare and present portfolio data and recommendations to senior stakeholders, facilitating trade-off discussions with rigor, objectivity, and a clear point of view.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, we encourage you to apply. Preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7+ years of experience in project management, business operations, strategy, or consulting with experience navigating complex, matrixed organizations and managing competing priorities.
• Demonstrated experience designing, building, or significantly improving an intake, triage, or portfolio management process for a delivery team or operations function.
• Strong analytical and systems-thinking skills. Able to evaluate competing requests against strategic frameworks, make well-reasoned prioritization recommendations, and communicate trade-offs clearly to senior stakeholders.
• Proficiency in Jira or equivalent ticketing/project management tools. Comfortable with workflow configuration, ticket lifecycle management, capacity planning, and reporting.
• Proven experience using AI tools (LLMs, AI agents, or automation platforms) to streamline workflows, build lightweight productivity solutions, or automate repetitive operational tasks.
• Excellent written and verbal communication skills. Able to translate ambiguous, incomplete requests into clear, actionable project briefs and present complex portfolio data accessibly to both technical and non-technical stakeholders.
• Proven ability to manage relationships with senior stakeholders (directors, VPs), including setting expectations, navigating pushback, and facilitating alignment conversations with confidence.
• Comfort operating in ambiguous environments where the work is not always well-defined. Able to independently identify the right approach and establish meaningful success metrics.
• Collaborative, low-ego working style. Able to operate as a strategic partner and trusted advisor rather than a decision-maker, earning credibility through rigor and good judgment.
• At least 2 years of experience working within or closely alongside an HR, People, or equivalent internal operations team.

Preferred qualifications

• Hands-on experience building AI agents or automation workflows using no-code/low-code tooling.
• Experience with prompt engineering, RAG (retrieval-augmented generation) concepts, or designing human-in-the-loop workflows for AI-assisted processes.
• Background in portfolio management, demand management, or capacity planning, including experience with prioritization frameworks (RICE, WSJF, OKR-alignment scoring, or similar).
• Experience with change management frameworks (e.g., Prosci ADKAR® Model) and designing adoption strategies for new processes or tooling.
• Familiarity with HR systems (e.g., Workday, Greenhouse, Retool) and People team workflows.
• Experience building portfolio dashboards or capacity reports using tools like Tableau, Looker, Google Sheets, or similar.
• Experience building and deploying process documentation, requestor-facing guides, or enablement materials that improve submission quality and reduce intake friction.
• Familiarity with data privacy and compliance considerations relevant to employee data, particularly in the context of AI tools and automated workflows.
• Experience using AI tools to increase personal and team productivity.
• Advanced proficiency in Google Workspace (Sheets, Docs, Slides) and Mac OS.

Are you passionate about turning data into revenue? Do you love the challenge of balancing performance, efficiency, and monetization across a growing media ecosystem — and leveraging the latest AI tools to do it better and faster?

Rockbot is seeking a Sales and Advertising Analyst to join one of our fastest-growing divisions — Advertising. This is a newly created role designed to support the continued expansion of our programmatic and direct-sold business as well as analyze and identify new growth opportunities. You won't just be stepping into an existing seat — you'll help shape how yield and supply strategy evolves as we scale, including how we harness AI to unlock smarter optimization, sharper forecasting, and more efficient operations across our inventory.

In this role, you will lead yield and supply strategy, performance analysis, venue and vertical growth, and monetization optimization across our Digital Out of Home (DOOH) and Connected TV (CTV) inventory. You'll drive improvements in fill rates, pacing, pricing strategy, business development, and delivery efficiency — applying AI-powered tools and workflows to identify new or underutilized pockets of inventory and unlock incremental revenue at scale.

As a key partner in scaling Rockbot's advertising business, you'll bring strong analytical rigor, deep programmatic expertise, data evaluation and analysis, fluency with modern AI tooling, and a builder's mindset toward evolving our yield systems and processes.

We're looking for someone energized not only by the work itself, but by the opportunity to make a measurable impact within a stellar, high-performing team. You'll collaborate closely with Sales, Product, Engineering, Marketing, and Data to uncover insights, drive optimization, and help shape the future of out-of-home media.

You Will:

• Own yield strategy and fill analysis across Rockbot's advertising inventory, balancing campaigns, CPM performance, and partner goals.
• Monitor impression delivery, pacing, and budget utilization across programmatic and direct campaigns.
• Identify key areas for supply optimization, delivering vertical, regional, and seasonal insights to the programmatic and direct sales teams.
• Forecast new revenue opportunities through supply data analysis, focusing on venue and vertical growth and expansion. 
• Develop and maintain dashboards and reporting systems that surface revenue trends, anomalies, and growth opportunities — leveraging AI-assisted tools to accelerate insight generation and anomaly detection.
• Leverage LLMs and generative AI to streamline operational workflows, synthesize performance data, and surface actionable recommendations faster.
• Apply AI-driven approaches to pricing optimization and yield modeling, helping Rockbot stay ahead of demand patterns and market shifts.
• Partner with Product and Engineering to evaluate ad serving logic, targeting performance, and delivery efficiency.
• Audit and refine transparency and compliance files (ads.txt, sellers.json, s-chain) to ensure monetization integrity.
• Support pricing strategy, packaging, and forecasting for new advertising products and launches.
• Identify operational bottlenecks and implement process improvements — including AI-enabled automation — that drive scalable yield performance.
• Collaborate across commercial and technical teams to ensure advertising execution aligns with broader business goals.

You Have:

• 5–8 years of experience in yield management, data evaluation/analysis, ad operations, revenue strategy, or ad tech analytics.
• Deep fluency in media math — impressions, CPMs, pacing, budgets, forecasting, and delivery mechanics.
• Expertise in aggregating and analyzing data into actionable insights for cross-departmental applications. 
• Strong understanding of the programmatic ecosystem, including DSPs, SSPs, ad servers, and supply-side optimization.
• Experience working with DOOH, CTV, or multi-channel media inventory (bonus if both).
• Hands-on experience using AI tools — including LLMs or gen AI platforms — to enhance reporting, streamline workflows, or accelerate operational decision-making.
• Familiarity with AI-driven yield or pricing optimization concepts, with a curiosity to push further as the tooling evolves.
• Proficiency in Excel and BI tools such as Looker, Tableau, or similar platforms.
• Comfortability in crafting and articulating the data story at all levels of the company. 
• Extensive real-world experience developing and refining advanced AI prompts. 
• Exceptional communication skills — you can translate complex performance data into clear recommendations and action.
• A high-horsepower, proactive mindset with a bias toward continuous improvement and operational excellence.

About Rockbot:

Rockbot is an omnichannel media platform committed to elevating customer and employee experiences while fostering stronger connections in real-world spaces. Rockbot addresses the challenges businesses face in media management with integrated solutions spanning music, TV, digital signage, and advertising. Its mission is to enrich on-premise experiences with media technology, where every interaction is elevated and memorable.

From independent local businesses to large national brands — across nearly every industry, including restaurants, bars, retailers, and more — Rockbot provides all the tools and licensed content businesses need. Backed by leading investors including Google and Universal Music Group, Rockbot is the future of out-of-home media. For more information visit www.rockbot.com.

Compensation:

Rockbot takes a market-based approach to pay, and pay may vary depending on your location in the U.S. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

The base compensation band for this role is $95K to $120K, plus equity and benefits for all team members.

Our Values

Accountability: We hold ourselves and those around us accountable. Admit mistakes, learn from them, share information and take ownership.

Curiosity: Test your beliefs proportional to impact, get feedback from others and be proactive. Learn new things. Have a growth mindset and evolve.

Empathy: We all have the ability to understand one another. Let's be better together by practicing empathy and understanding for one another.

Drive: We pursue our mission with relentless tenacity, passion, and positivity.

Ingenuity: We use innovation and imagination to solve tough challenges. We ask why and how quite a bit! We do our best to collaborate to come up with solutions.

Integrity: We trust you to do the right thing and act with integrity and Rockbot core values in mind. We're a team working toward a collective goal.

Rockbot is an Equal Opportunity Employer, but that's just the start. We believe different perspectives help us grow and achieve more. That's why we're dedicated to hiring and developing the most talented and diverse team — which includes individuals with different backgrounds, abilities, identities and experiences.

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:

• 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.

Job Description & Responsibilities

The Senior Lead Engineer Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement BI strategies. While not a direct people manager, the Senior Lead Engineer serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for architecting scalable data solutions, optimizing analytics workflows, and leveraging best-in-class BI tools to solve our clients' most pressing challenges.

• Define and drive the BI strategy, ensuring alignment with business objectives.
• Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
• Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
• Design, implement, and optimize scalable data models and architectures for reporting and analytics.
• Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
• Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
• Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
• Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
• Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
• Establish and enforce BI best practices, including data governance, security, and documentation.
• Monitor and improve query performance, data processing efficiency, and system scalability.
• Ensure compliance with data privacy and security regulations.
• Work cross-functionally with data engineers, analysts, and business teams to align data strategies.
• Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level.
• Facilitate training and enablement programs to enhance BI adoption across the organization.

Experience, Qualification,  & Skills

• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 6+ years of experience in business intelligence, data engineering, or a similar role.
• Expert-level proficiency in SQL, data modeling, and ETL development.
• Extensive experience with BI tools such as Power BI, Tableau, or Looker.
• Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions.
• Strong programming skills in Python, R, or other scripting languages for data automation.
• Proven ability to lead teams and manage large-scale BI initiatives.
• Excellent problem-solving, strategic thinking, and stakeholder communication skills.
• Experience with machine learning, AI-driven analytics, or predictive modeling.
• Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar).
• Knowledge of version control (Git) and CI/CD for data workflows.
• Background in Agile methodologies and project management.

Leadership & Soft Skills:

• Strong mentorship abilities and a passion for helping others grow.
• Ability to influence technical strategy without direct managerial authority.
• Effective communication skills to present complex ML concepts to diverse audiences.
• Problem-solving mindset and ability to work cross-functionally with different teams.

Compensation / Benefits

• Competitive compensation
• Company-paid medical, vision, dental, and wellness benefits for employees 
• Company-provided home office equipment
• Flexible vacation and sick days
• Team-oriented and supportive working environment   
• Company-sponsored events and swag

This position offers a base salary in the range of $140,000–$160,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are hiring for CX Data & WFM Specialist!

Responsabilities:

• Run daily KPI health checks across all CS metrics; detect anomalies and own automated volume-spike alerting.
• Produce weekly and monthly trend analyses and executive-ready reports for the Director, COO, and cross-functional leads.
• Design, build, and maintain Tableau dashboards and Intercom reports; own the CS metric documentation (definitions, calculations, data sources).
• Build rolling workforce forecasts and capacity models incorporating volume trends, agent availability, skill mix, and overtime patterns.
• Monitor agent utilization in real time and historically; recommend scheduling and headcount adjustments to balance efficiency and service levels.
• Maintain data pipelines and source integrations feeding into Tableau (Intercom, product DB, payroll/HR data).
• Lead the delivery of a customer health-score model and early-warning churn indicators integrated into CS workflows.
• Own WFM for the international support team: overtime tracking, paid-hours reconciliation, global workforce policies, headcount forecasting, and budget ownership.
• Manage invoicing for global employees; ensure timely and accurate processing of payments.
• Serve as the primary point of contact for the Finance team on all CS-related workforce costs, budgets, and invoicing queries.

Qualifications: 

Required

• 1+ years in a Data team.
• Strong Tableau (or comparable BI tool) proficiency – building dashboards, managing data connections, designing for diverse audiences.
• Advanced Excel/Sheets skills including pivot tables, complex formulas, and data modeling.
• Excellent communication skills – ability to translate complex data into clear, executive-ready narratives.
• English proficiency

Preferred

• SQL or scripting languages for data extraction and transformation.
• Familiarity with CRM/helpdesk platforms (Intercom preferred; HubSpot, Zendesk, or similar).
• Hands-on workforce forecasting and capacity planning experience.
• Familiarity with Agile/sprint-based methodologies in an ops context.
• Experience working with Payoneer and Connecteam – a bonus.

About the Role

We are seeking an MBA intern to join our team beginning in January/February 2026, with potential for an offer or promotion into a full-time role. Interns will work closely with the CEO leadership team on projects spanning Marketing, Operations, and Strategy.  Interns will also have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.

The CEO and Go-To-Market team are based in Miami and this role is flexible to work remote or from the Safari AI's Coconut Grove office. 

What you will be Working on

• Design GTM dashboards to visualize and adapt the company's marketing strategy 
• Improve upon internal financial models and client-facing ROI and pricing models
• Start and accelerate alternative outbound marketing efforts (e.g., podcast, AI voice memos, videos, etc) 
• Collaborate with cross-functional teams to coordinate the implementation of new initiatives and projects

Requirement for the Role

• Enrolled in a top MBA program
• Strong analytical skills and ability to think strategically
• Excellent verbal and written communication skills
• Demonstrated financial modeling skills
• Proficient in Google Suite, and data visualization tools (Tableau, PowerBi)
• Ability to work independently and collaboratively in a team environment
• Experience in early-stage startup business operations, enterprise SaaS, or product development is a plus

Paid Media Freelancer (Paid Search & Paid Social Expert)

Job Description:

• Execute and optimize paid media campaigns across both search and social channels for North American markets, ensuring alignment with e-commerce business objectives.
• Execute and optimize campaigns across platforms including Google Ads, Meta, and Tiktok
• Focus on achieving key performance goals, especially CPA (Cost Per Acquisition), Leads, Video Views, etc to drive efficient customer acquisition and conversion.
• Conduct A/B testing for ad creatives, landing pages, and targeting strategies to continually improve performance.
• Monitor and report on campaign performance, providing actionable insights to optimize budgets, bids, and targeting.
• Based in the Pacific Time Zone to align with team schedule and collaboration

Skills and Experience:

• Paid Search & Paid Social Expertise: Proven experience executing and managing paid campaigns across both Google Ads and Meta Ads.
• E-commerce Experience: Strong background in running paid media campaigns for e-commerce businesses, with a focus on driving conversions.
• Data-Driven: Ability to track, analyze, and optimize based on key metrics such as CPA, CTR, and ROAS, and familiarity with Google Analytics and/or Tableau.
• Goal-oriented: Focused on achieving performance targets and maximizing ROI.
• Proactive Optimizer: Skilled at identifying opportunities for improving performance through creative testing, budget reallocation, and strategy adjustments.
• Time Zone: Based in Pacific Time Zone hours for seamless team collaboration. Open to meet over Zoom, as needed M-F.

Project scope

• Duration: 3 months for the initial contract, aiming for long-term collaboration
• Workload: approx. 20hrs weekly