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Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Principal Product Manager

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in bookings. We're expanding beyond lawn care to become the one-stop shop for home services: three brands (LawnStarter, Lawn Love, Home Gnome), one shared platform.

About Product at LawnStarter

Our BHAG: 1+ job per household, every year. Getting there means winning on four fronts at once: more customers, more Pros, excellent service experience for both sides, and an AI-run company that moves faster than its size should allow. We've organized around those bets as swim lanes: New Customer Acquisition, Strengthen Supply, Service Experience, and AI & Operating Excellence.

The Role

This is the most senior individual contributor seat in Product, with no direct reports. You'll work as a peer to the leaders of Ops, Data, Design, and Engineering.

Job Skills

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Data Governance and Platform Manager

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

Job Skills

color numbers people management marketplace data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data guard trustworthy manage lawn care map operator governing plan com semantic funnels sql data quality airflow safe m data feeding applicable state anomaly detection automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern live migration tracking operating data security event tracking operate hygiene github mapping truth toolkit tooling tableau analytics debug layer mapped scale workflow triage execute
View the job post & apply

Data Governance & Platform Manager

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

Job Skills

color numbers people management marketplace data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data guard trustworthy manage lawn care map operator governing plan com semantic funnels sql data quality airflow safe m data feeding applicable state anomaly detection automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern live migration tracking operating data security event tracking operate hygiene github mapping truth toolkit tooling tableau analytics debug layer mapped scale workflow triage execute
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Agentic AI Architect

posted by: spj_bot

Tiger Analytics is looking for experienced Agentic AI Architect with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Requirements

We are seeking a visionary yet hands-on AI Solutions Architect to define, design, and bootstrap our next-generation Agentic AI architecture. In this role, you will bridge the gap between high-level business strategy and deep technical execution. You will be responsible for designing scalable, multi-agent AI ecosystems on cloud hyperscalers (Azure, AWS, or GCP), while staying close enough to the codebase to build prototypes, establish design patterns, and conduct rigorous code reviews.

The ideal candidate understands that an AI agent is more than just a prompt; it is a complex system involving orchestration, memory fabrics, guardrails, and tool execution. You will partner directly with business executives and engineering teams to transform ambitious AI product visions into production-ready enterprise platforms.

Job Skills

color professional balanced approach GCP aws lambda governance subject matter python collaborate programming professional certified disability multi agent e guard scalable mitigation semantic certified solutions architect enterprise systems career development enterprise platforms open source microservices storage opensearch data science enterprise software validate advocacy machine learning solution design codebase high level leadership reliability rapid prototyping ul integration professional professional azure azure visionary write architectural pattern cloud native serverless bridge prototypes throughput workflows collaboration sagemaker aws deep dive machine learn bootstrap enterprise search language model advising educating internal autogen act product managers design patterns code review management computer science translate tooling analytics prototyping business strategy google cloud market research bilingual consulting scalability blueprint typescript architectural theory java real time datum
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Customer Success Engineer (Remote - US)

posted by: spj_bot

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Staff Federal Customer Success Engineer in the United States.

In this role, you’ll work closely with federal government clients to implement and scale workflow automation solutions. As a technical expert, you’ll lead onboarding efforts, support high-impact professional services engagements, and deliver hands-on support throughout the customer journey. This position requires a deep understanding of API integration, process optimization, and federal agency environments. You’ll collaborate across internal teams—from engineering to sales—to ensure customer needs shape the product roadmap. The ideal candidate thrives in fast-paced environments and is passionate about automation, customer success, and solving complex technical challenges.

Accountabilities:

Job Skills

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Maritime Security Officer

posted by: spj_bot

We are excited to announce positions available for Maritime Security Officers who are ready to embark on an exciting journey aboard luxury International Cruise Ships as well as Cargo Container Ships. This is a remarkable opportunity to explore diverse global destinations while embarking on a fulfilling new career within the maritime security sector. Your adventure awaits as you navigate through both beautiful waters and vibrant ports!

Don't worry if you lack previous experience in this field - we warmly welcome candidates who have successfully completed their mandatory military service in Greece!

Requirements

Minimum Employment Criteria:

·        Commercial Security work experience or military service, police and Prison Guard.

·        Very good English language

·        In good physical fitness

·        Clean Criminal Record

 

Benefits

Benefits

·        Travel the World While Earning Money.

·        Free Accommodation

·        Free Meals

·        No Taxes

 

What we offer:

·        In House-training and Maritime qualifications required to work at sea.

·        All travel expenses paid.

Job Skills

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