I'm developing an original tabletop strategy card game and am looking for talented artists to help bring its world to life. The gameplay is basically done and has been play tested thoroughly, and I'm now building the game's visual identity with the goal of future crowdfunding and commercial release.
The project focuses on a game which to put it very simply is about adopting cute pets with yummy pet treats.
I'm looking for artists who enjoy creating simple, memorable characters with strong silhouettes and mascot appeal- characters you'd want as plushies, stickers, or phone charms.
Looking for:
Creature/animal character designers + Illustrators
(Separately) Graphic designers with experience designing tabletop card layouts
Art may include:
Cute, silly, cool original animal designs (birds, dogs, cats, fish, ETC)
Expressive poses and personalities
Promotional artwork
Pet treats and accessories (being able to draw yummy looking food is a big plus)
Art direction:
Cute, simple, iconic designs
Strong personality through shape and expression
Inspired by the charm of Kirby, Pokémon, Sanrio, and Chiikawa
I'll provide gameplay mechanics, personality descriptions, rough MSPaint sketches, as a base to work from, otherwise I'm offering plenty of creative freedom. My goal is to collaborate with artists who enjoy contributing ideas, not simply following instructions.
If you're interested, please fill out this form:
https://docs.google.com/forms/d/e/1FAIpQLSdTSD3s9HPjp-4q36Ck7QX_o0CTtfJAqRGD6dWmudYoAooC9w/viewform

Do you need more work from home job leads from remote companies that are always hiring? I have listed more than 100 companies that are consistently hiring remote workers, no matter the time of year. This list includes legit companies offering positions like: ✅ Customer support & chat agents ✅ Data entry & admin work ✅ Virtual assistants ✅ Tech & software roles ✅ Tutoring & teaching ✅ Sales, social media, and more This means more opportunities and ongoing job leads for which you can apply today. Why this is worth bookmarking: 🔥 Saves you hours of job hunting 🔥 Covers entry-level to skilled roles 🔥 Great list if you’re new to working from home 🔥 Companies you might not find in the typical job boards Check it out and start applying — and if you find a good lead from the list, drop it below so others can benefit too! 👇 👉 https://www.workersonboard.com/2021/11/19/100-work-at-home-companies-that-always-hiring/

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

We are hiring Senior Machine Learning Engineers

We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Requirements

• Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions for smart bidding, lookalike modelling, forecasting, and related ranking and prediction tasks.
• Build and productionise machine learning models, including model-specific data pipelines, feature engineering within the team's feature store, and integration with the team's orchestration and serving infrastructure.
• Evaluate model performance through offline metrics, and monitor deployed models for drift, leading retraining or rollback decisions as needed.
• Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing, unit testing, and integration testing.
• Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments
• Willingness to work 4 day in-office, 1 day remote weekly schedule.

Benefits

• PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval (or equivalent experience)
• Extensive knowledge in and experience with some of the following areas: Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling
• 3+ years of industry experience building production-grade machine learning systems, spanning model training, tuning, deployment, serving, and monitoring
• Experience with Kubeflow (or similar), TensorFlow, and a feature store in a production environment is a massive plus
• Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN

We’re looking for a highly motivated Sales Executive to own the entire sales journey, from the moment a prospect expresses interest to becoming a long-term customer.

Our Growth team generates demand and qualifies opportunities. Your responsibility begins when a prospect responds positively and wants to learn more about our services. From there, you’ll take full ownership of the relationship by chasing the lead, leading discovery calls, understanding business challenges, presenting solutions, negotiating commercial terms, closing deals, and managing customer relationships to drive long-term growth.

This is not a role for someone who waits for instructions or follows rigid playbooks. We’re looking for someone who thinks independently, solves problems creatively, and is obsessed with turning opportunities into revenue.

What You’ll Do

• Own all qualified sales opportunities generated by our Growth team.
• Respond promptly to interested prospects and guide them through the sales process.
• Conduct discovery calls to understand customer goals, challenges, and technical requirements.
• Position AI workflows, AI agents, automation solutions, and custom software services based on customer needs.
• Prepare proposals, pricing, and commercial recommendations.
• Lead negotiations and close new business.
• Act as the primary point of contact for customers after the sale.
• Build strong client relationships and ensure a seamless customer experience.
• Identify opportunities for account expansion, upselling, and renewals.
• Maintain an accurate CRM and manage your sales pipeline effectively.
• Collaborate closely with internal teams to ensure successful project handoffs and customer satisfaction.
• Continuously improve sales processes, messaging, and conversion strategies through experimentation and feedback.

Requirements

• 2 to 5 years of B2B sales experience.
• Based in the United States.
• Experience selling one or more of the following:
• AI workflows
• AI agents
• Business process automation
• Custom software development
• AI consulting services
• Automation consulting
• Digital transformation solutions
• Strong consultative selling and discovery skills.
• Excellent communication, presentation, and negotiation abilities.
• Ability to build trust with technical and business stakeholders.
• Highly organized with strong pipeline management skills.
• Self-driven, resourceful, and comfortable working with minimal supervision.
• Comfortable using modern sales tools and CRM platforms.

Preferred Qualifications

• Experience selling AI-powered solutions or automation services to mid-market or enterprise businesses.
• Familiarity with technologies and platforms such as OpenAI, Anthropic, n8n, Make, Zapier, Microsoft Copilot, or similar AI and automation ecosystems.
• Experience managing customer relationships after the initial sale, including renewals and account growth.
• Previous experience working in a startup or fast-paced environment.

What Success Looks Like

Success in this role isn’t measured by the number of emails sent or meetings booked. It’s measured by outcomes.

You’ll be successful if you consistently:

• Convert qualified opportunities into customers.
• Build lasting relationships with clients.
• Increase customer lifetime value through renewals and expansion opportunities.
• Solve commercial challenges creatively.
• Improve the way we sell through experimentation and continuous learning.

Who You’ll Thrive As

You’ll thrive in this role if you:

• Take ownership without waiting to be told what to do.
• Enjoy solving complex business problems.
• Think creatively when deals become challenging.
• Take initiative and continuously look for better ways to win customers.
• Care deeply about delivering value to clients rather than simply making a sale.

If you’re excited about helping businesses adopt AI and automation solutions while owning the complete customer journey, we’d love to hear from you.

Benefits

• Market-competitive salary– rewarding your contributions fairly.
• Global team experience– collaborate with talented professionals worldwide.

• Join us and be part of an innovative, fast-growing company where your work makes a real impact!

Software Engineer, Web Products

P-1581

Location: Mountain View, CA

About Us:

The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.

The Role:

As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI native platform designed for humans and agents from the ground up. You will contribute to a web delivery practice where AI native tools and an AI native engineering lifecycle are embedded in how the team builds every day.

The impact you’ll have:

• Build and ship web experiences across databricks.com including landing pages, blogs, hubs, and event properties on a unified, AI native architectural foundation
• Implement components and page systems using a shared design system, contributing to a consolidated stack that reduces per-surface maintenance overhead
• Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them
• Contribute to ensuring databricks.com surfaces are structured and optimized for how the web is discovered and consumed today, including by AI driven search and discovery systems
• Participate actively in code review and help establish what rigorous, AI native engineering execution looks like on this team

What we look for:

• 4+ years of software engineering experience with a track record of shipping production web systems
• Strong fundamentals across the web stack including component architecture, rendering strategies, build systems, and deployment pipelines
• Experience building on or integrating with content management systems like Drupal, Contentful
• Comfort adopting AI native development tools and embedding them into daily engineering practice
• Ability to take a well-scoped problem and drive it to completion under senior direction
• Familiarity with headless CMS architectures, edge delivery, or modern frontend frameworks is a strong plus

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.



Zone 1 Pay Range
$136,300-$187,450 USD


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.



Local Pay Range
$136,300-$204,500 USD
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark", Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

We're hiring a remote Appointment Setter for our B2B appointment-setting agency.

GAQ327R241

About Us:

The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.

The Role:

As Senior Software Engineer, AI Native Web Platform on the Web Engineering team, you will build and scale the platform layer that Web Engineering builds on: framework, infrastructure, CI/CD, and deployment pipelines. You will work under the direction of the Staff Software Engineer and contribute to a unified, agentic-ready foundation that shifts platform maintenance from per-surface effort to a centralized, scalable system.

The impact you’ll have:

• Build and scale platform infrastructure including CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations that power all of databricks.com
• Own accessibility testing in CI, bringing automated a11y validation into the deployment pipeline so accessibility is enforced at every release rather than caught after the fact
• Implement consent management infrastructure at the platform layer, replacing fragmented per-surface implementations with a centralized, policy-driven system that enforces compliance automatically across all web properties
• Contribute to tech stack unification: consolidating a fragmented set of frameworks and deployment models onto a shared design system and unified deployment foundation
• Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them

What we look for:

• 8+ years of software engineering experience with a track record of shipping and operating production web infrastructure
• Strong expertise across web platform infrastructure including CI/CD, deployment pipelines, build systems, and edge delivery
• Experience implementing or operating consent management systems at the platform layer
• Familiarity with accessibility standards and experience integrating automated a11y testing into CI pipelines is a strong plus
• Ability to own a platform infrastructure domain end to end and drive it to production under Staff direction
• Experience with tech stack consolidation or framework migration on live production systems is a strong plus

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.



Zone 1 Pay Range
$159,900-$219,900 USD
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark", Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

GAQ327R242

About Us:

The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.

The Role:

As Staff Software Engineer, Marketing Agents on the Web Engineering team, you will own the architecture and delivery of agents that transform how Databricks creates, publishes, and ships for the web, shifting content operations from a linear, engineering-dependent process to an orchestrated, continuously improving system. You will define how LLM-powered agents participate reliably across marketing content workflows, set the engineering standards the team builds on, and ensure agent output is robust, observable, and production-ready at scale.

The impact you’ll have:

• Own the architecture and delivery of agentic workflows that enable marketing to self-serve content creation and publishing across blogs, landing pages, microsites, and social, working directly with marketing stakeholders to understand their workflows, define quality criteria, and build tools they trust and use
• Partner with the Web Platform Staff Engineer on CMS architecture to ensure the content model supports agent read and write workflows and that agent-generated content is structured for AI-driven discovery at production scale
• Build and own the agent reliability system for this domain: define output quality criteria per workflow, implement eval suites and behavioral regression testing, and build feedback loops that improve agent output over time based on what marketers approve, edit, and reject
• Architect human in the loop review as a system property across the full publishing pipeline: proposal and commit separation, diff-based review UI, approval routing, notification system, and audit logging that govern when agents publish autonomously and when human judgment is required
• Encode brand, legal, and compliance constraints as enforceable guardrails within agent workflows, ensuring agents operate within defined boundaries without requiring human intervention on every decision
• Partner with the Web Products Staff Engineer to ensure agent-generated content meets surface quality and brand standards across databricks.com
• Mentor and grow the Senior Engineer on the team, setting the standard for production-grade agentic engineering at Databricks

What we look for:

• 12+ years of software engineering experience with a clear track record of technical ownership on production systems
• Hands-on experience building and operating LLM-powered systems in production, and a strong instinct for designing quality and evaluation frameworks for probabilistic or generative outputs
• Strong understanding of human in the loop system design: approval workflows, review interfaces, audit logging, and guardrail implementation
• Deep understanding of how agents interact with content systems, publishing pipelines, and web infrastructure including CMS, deployment pipelines, and edge delivery
• Ability to work directly with non-engineering stakeholders to translate workflow requirements into agent architecture
• Experience mentoring engineers and elevating technical execution across a team

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.



Zone 1 Pay Range
$198,200-$272,600 USD
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark", Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.