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AI Experimentation Strategy Director (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 1 day ago

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

  • Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
  • Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
  • Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
  • Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
  • Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

  • 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
  • 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
  • 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
  • A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
  • A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
  • 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
  • The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

  • Master's in computer science or equivalent quantitative fields

 

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.


Remote working/work at home options are available for this role.
Not Specified
Lead Experimentation Scientist in AI (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 1 day ago

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

  • Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
  • Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
  • Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
  • Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
  • Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

  • 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
  • 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
  • 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
  • A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
  • A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
  • 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
  • The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

  • Master's in computer science or equivalent quantitative fields

 

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.


Remote working/work at home options are available for this role.
Not Specified
Senior Manager Experimentation Science AI (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 1 day ago

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

  • Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
  • Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
  • Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
  • Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
  • Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

  • 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
  • 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
  • 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
  • A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
  • A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
  • 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
  • The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

  • Master's in computer science or equivalent quantitative fields

 

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.


Remote working/work at home options are available for this role.
Not Specified
Senior Manager Experimentation Science AI - Remote work flexibility (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 1 day ago

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

  • Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
  • Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
  • Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
  • Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
  • Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

  • 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
  • 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
  • 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
  • A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
  • A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
  • 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
  • The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

  • Master's in computer science or equivalent quantitative fields

 

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.


Remote working/work at home options are available for this role.
Not Specified
Portfolio Schedule Manager – Project Controls (AI Data Centers)
🏢 Crusoe
Salary not disclosed
Santa Clara, CA 4 days ago

Apply on


About This Role:

Crusoe Energy is seeking a Portfolio Schedule Manager, Project Controls to provide leadership and governance across scheduling for large-scale, complex capital programs, including hyperscale data center projects. This role operates at the portfolio level, ensuring schedule integrity, consistency, and transparency across multiple concurrent projects.

The Portfolio Schedule Manager will establish and enforce scheduling standards, integrate execution schedules with cost insights, and deliver clear, actionable reporting to senior leadership and Crusoe clients. This role is ideal for a seasoned project controls professional who brings deep scheduling expertise, strong leadership skills, and the ability to connect schedule performance to broader program and financial outcomes.


What you’ll be working on:

  • Lead portfolio-level construction scheduling and project controls across multiple large infrastructure or hyperscale data center projects
  • Establish, enforce, and continuously improve minimum scheduling standards, including schedule structure, coding, progress measurement, update cadence, and reporting
  • Own portfolio schedule reporting, clearly communicating schedule health, forecasted milestones, critical path impacts, and overall delivery risk to leadership and clients
  • Integrate schedule and cost insights to highlight schedule-driven cost risks, acceleration impacts, and downstream financial implications
  • Oversee and support onsite and regional scheduling services teams, providing direction, quality assurance, escalation support, and alignment to portfolio standards
  • Bridge execution schedules with baseline planning assumptions by partnering closely with Preconstruction to ensure continuity from planning through delivery
  • Own the onboarding and transition of schedules from Preconstruction into active project delivery, ensuring alignment with general contractors and key vendors
  • Collaborate with consultants, Preconstruction, Construction, general contractors, and OFE vendors to integrate contractor schedules into a unified, program-level schedule
  • Support data-driven decision-making by providing timely, accurate schedule insights across the portfolio


What you’ll bring to the team:

  • Bachelor’s degree in Engineering, Construction Management, or a related technical discipline
  • 12+ years of experience in construction scheduling and project controls for large infrastructure, hyperscale data center, or complex capital programs
  • Advanced scheduling expertise; Primavera P6 proficiency and/or advanced scheduling certifications strongly preferred
  • Proven experience establishing and enforcing scheduling standards across multi-project portfolios
  • Strong ability to assess schedule health, critical path impacts, and milestone risk at both project and portfolio levels
  • Experience integrating schedule and cost data to inform leadership decisions
  • Demonstrated leadership managing and guiding scheduling teams and external service providers
  • Strong communication skills with the ability to present complex schedule information clearly to senior stakeholders and clients


Benefits:

  • Industry competitive pay
  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit; $50 per pay period


Compensation Range:

Compensation will be paid in the range of $180,000 – $225,000. Restricted Stock Units are included in all offers. Compensation will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.


Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.


Apply on

Not Specified
Project Manager - AI
✦ New
Salary not disclosed
Dallas, TX 1 day ago

IDR is seeking a Project Manager to join one of our top clients for a fully remote opportunity. This role involves managing projects within the Talent Technology portfolio, supporting initiatives that often involve AI, RPA, and automation. The company operates within the technology and HR solutions industry, focusing on enhancing talent management processes.

Position Overview: 

Working within the Talent team, the Project Manager is responsible for planning, coordination and execution of delivery aspects of assigned projects in support of initiatives within the Talent Technology portfolio.  The PM is responsible for coordinating assignment of individual Talent Technology responsibilities, developing the project plan, tasks and deliverables to ensure timely tech team delivery. 

JOB REQUIREMENTS:
  • 8+ years of project management experience with the ability to effectively manage multiple projects with moderate to high risk for a large enterprise
  • 4+ years of experience leading projects supporting AI, RPA, and automation intiatives across Talent and HR ecosystem
    • Projects around Co-Pilot Agents and Co-Pilot Studio (preferred)
  • Experience in navigating in a matrix reporting environment solving/resolving complex issues   
Preferred Qualifications: 
  • PMP Certification

What's in it for you?

  • Competitive compensation package
  • Full Benefits; Medical, Vision, Dental, and more!
  • Opportunity to get in with an industry leading organization.

Why IDR?

  • 25+ Years of Proven Industry Experience in 4 major markets
  • Employee Stock Ownership Program
  • Dedicated Engagement Manager who is committed to you and your success.
  • Medical, Dental, Vision, and Life Insurance
  • ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row.
Not Specified
Founding Account Executive (Graph & AI)
✦ New
Salary not disclosed
Sunnyvale, CA 1 day ago

About FalkorDB


FalkorDB is the world’s fastest graph database, engineered for real-time, high-scale enterprise applications. We are the engine behind the next generation of cybersecurity, fraud detection, and AI-driven systems. As we scale our footprint, we are looking for a foundational sales leader to own the Bay Area and drive our enterprise expansion.

The Role


We are seeking an Enterprise Hunter not a "Farmer." You are a high-octane sales professional with a track record of crushing quotas in the deep-tech software space. You don’t just manage a territory; you dominate it.

You will be responsible for navigating complex, technical sales cycles and building strategic partnerships with the most innovative companies in the world. This is a high-impact role for someone who thrives on the hunt and wants to shape the GTM strategy of a category-defining company.


What You’ll Do

  • Drive New Business: Execute a ruthless territory plan to acquire "new logo" enterprise accounts across Cybersecurity, Infrastructure, and AI.
  • Navigate Technical Cycles: Lead complex, POC-driven sales motions, moving seamlessly between developer-level technical deep dives and executive-level value propositions.
  • Multi-Thread Strategic Deals: Build deep relationships with CTOs, VPs of R&D, and Architects to ensure FalkorDB is the standard for their infrastructure.
  • Scale the GTM: Partner with Product and Marketing to refine our messaging and contribute to the regional growth playbook.
  • Forecast with Precision: Maintain rigorous CRM hygiene and provide predictable revenue forecasting.


What We’re Looking For

  • The Track Record: 5+ years of quota-carrying experience in enterprise software, consistently landing in the top 10% of your peer group.
  • Technical Fluency: You speak the language of infrastructure, databases, and developer tools. You aren't afraid to get your hands dirty in a discovery session.
  • Strategic Agility: Experience managing 6–12 month sales cycles with a "win-fast" mentality.
  • The Startup Mindset: You excel in high-accountability, low-bureaucracy environments. You see a lack of process as an opportunity to build one.
  • The Network: A pre-existing network within the Bay Area tech ecosystem is a significant advantage.


The "Edge" (Preferred Experience)

  • Direct experience selling Graph Technology or high-performance data platforms.
  • Background in Open Source business models or hybrid SaaS/On-prem environments.
  • Experience at high-growth icons like Neo4j, MongoDB, Snowflake, Redis, or Databricks.


Why FalkorDB?

  • Product Superiority: Sell a product with undeniable technical benchmarks and clear market differentiation.
  • Uncapped Upside: A competitive compensation plan designed to reward over-achievement.
  • Influence: Direct access to founders and the ability to influence the product roadmap.
  • Growth: The opportunity to be one of the first boots on the ground in our most critical market.


Job Type: Full-time

Not Specified
Account Executive - AI Security
✦ New
Salary not disclosed
New York, NY 1 day ago

Enterprise AE x2 - NYC

AI Cybersecurity | Series B | Early GTM


We are partnered with a fast-growing AI-native startup disrupting the ITDR space. Just closed their Series B, attracting the attention of some of the most influential CEOs in the F100.


Opportunity to be one of the first 10 sales people, aggressive growth and high ownership culture.


The Role

Close six-figure enterprise deals end-to-end

Build pipeline from scratch with creative outbound

Influence product and sales strategy as you grow


You

3+ years B2B SaaS enterprise cybersecurity sales

Proven six-figure deal closer, comfortable with execs and technical buyers

Creative, autonomous hunter who thrives in early-stage teams


Sound interesting? Apply now to find out more.

Not Specified
Entry level java spring boot developer/ML/AI engineer
Salary not disclosed
College Station 4 days ago
Failing Interviews or no Interviews Isn't a Talent Problem.

It's a Tech stack Problem.

If you're getting interviews but not offers, you're closer than you think—and that's the most frustrating stage to be in.

You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs.

Most candidates don't fail because they're "not smart.” They fail because they prepared the wrong way—watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals.

SynergisticIT's approach is built for this exact scenario.

Since 2010, SynergisticIT has helped candidates move from "almost” to "offer,” with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack.

Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more.

SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.

The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI.

Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways.

SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer).

Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round” without the offer, stop guessing and start preparing with a plan.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also.

Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Not Specified
AI Finance Senior Manager: GenAI, FP&A & Data Strategy
$250 +
San Francisco, CA 5 days ago
A leading global consulting firm is seeking an AI Finance Senior Manager in San Francisco, CA.

The role involves executing data management strategies for finance applications, leveraging expertise in Machine Learning and data governance.

Candidates should have a Bachelor's degree and a minimum of seven years of experience in Financial Planning & Analysis.

This position emphasizes innovation and client relationship management while ensuring data consistency across financial applications, creating substantial business value.
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Not Specified
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