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Bet Works Jobs (NOW HIRING)

Principal Software Engineer

Tulsa, OK ยท On-site

$190K - $230K/yr

Most early-stage engineering roles ask you to make one concentrated bet: one company, one market, one founder, one codebase, one trajectory. Sometimes that works. Sometimes it means spending your ...

Principal Software Engineer

Tulsa, OK ยท On-site

$123K - $165K/yr

Why This Is a Rare Zero-to-One Seat Most early-stage engineering roles ask you to make one concentrated bet: one company, one market, one founder, one codebase, one trajectory. Sometimes that works.

Principal Software Engineer

Tulsa, OK ยท On-site +1

$190K - $230K/yr

Most early-stage engineering roles ask you to make one concentrated bet: one company, one market, one founder, one codebase, one trajectory. Sometimes that works. Sometimes it means spending your ...

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Bet Works information

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How much do bet works jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for bet works in the United States is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.04 per hour, depending on experience, location, and employer.

What is Bet Works?

Bet Works typically refers to companies or platforms that provide technology solutions for the sports betting industry. These organizations develop software, platforms, and services that enable sportsbooks and casinos to offer betting products to their customers. Their offerings may include odds management, risk assessment, customer account management, and regulatory compliance tools. Bet Works companies play a crucial role in the growing online and retail sports betting markets, ensuring seamless, secure, and compliant betting experiences.

What are the key skills and qualifications needed to thrive as a Sportsbook Operations Manager, and why are they important?

To thrive as a Sportsbook Operations Manager, you need strong analytical skills, deep knowledge of sports betting markets, and experience in gaming or betting environments, typically supported by a relevant degree. Familiarity with sportsbook management software, odds compilation tools, and regulatory compliance systems is essential. Excellent communication, problem-solving abilities, and attention to detail help you lead teams and ensure a seamless betting experience. These skills are crucial for maintaining operational efficiency, regulatory adherence, and customer satisfaction in the fast-paced gaming industry.

What are some common challenges faced by professionals working in Bet Works roles within the sports betting industry?

Professionals in Bet Works roles often encounter challenges such as adapting to rapidly changing regulations, managing large volumes of real-time data, and ensuring the integrity and security of betting platforms. They must collaborate closely with developers, compliance teams, and customer support to address technical issues and maintain a seamless user experience. Staying updated on industry trends and evolving technology is essential for long-term success in this dynamic environment.

What is the difference between Bet Works vs Bet Analyst?

AspectBet WorksBet Analyst
Required CredentialsOften a degree in mathematics, statistics, or related fieldSame as Bet Works, with emphasis on data analysis skills
Work EnvironmentSportsbooks, online betting companies, or gaming firmsSportsbooks, betting firms, or data analysis teams
Industry UsageUsed in betting operations to manage and optimize betsUsed to analyze betting patterns and inform betting strategies

Bet Works and Bet Analyst roles share similar credentials and work environments, often within the betting and gaming industry. While Bet Works focuses on managing and executing betting operations, Bet Analysts analyze data to improve betting strategies. Both roles are essential in the betting industry and often overlap in skills and industry usage.

More about Bet Works jobs
Infographic showing various Bet Works job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $45,364 per year, or $21.8 per hour.

Founding Engineer / Technical Lead, US -- mond, Palo Alto

Tier4

Palo Alto, CA โ€ข On-site

$250 - $280/hr

Other

Posted 10 days ago


Job description

Founding Engineer / Technical Lead, US โ€” mond, Palo AltoDescription

# **The one-paragraph pitch**
**AI made answers cheap. Human judgment is becoming scarce.**

mond is the social inbox where audience questions become public creator content. Fans donโ€™t just consume a creatorโ€™s posts โ€” they ask the questions that pull out the creatorโ€™s judgment, stories, taste, and ideas. On mond, fans write candidly to specific creators; creators answer in their own voice and earn from it. Private curiosity becomes public content: candid questions, accountable answers.

This already works. Millions of people use mond in Japan, and 12M+ questions and answers have been exchanged โ€” growing ~2.9ร— year over year, with 99%+ addressed to a specific person, not a generic topic. Creators monetize directly through paid questions, memberships, tips, and Paid Answers.

Japan was the first market โ€” the proof. The ambition is not โ€œexpand beyond Japan.โ€ Itโ€™s to take a model that already works and build it for a global audience, from Palo Alto. This is not a localization role. The US team defines the global product and architecture, working with Tokyo as one team. Youโ€™ll own the technical design and implementation of the US/global platform, lead the re-architecture for multi-locale and multi-currency scale, and help launch mond in the US. As the US team scales, this role can grow into CTO / Head of Engineering.

# **About me**
Iโ€™m Yosuke, CEO of mond, Inc. and founder/CEO of Howtelevision, the profitable public company backing mond. I took Howtelevision public on the Tokyo Stock Exchange, built mond from zero to millions of users, and moved from Tokyo to Palo Alto with my family to build the global company in person, from here. I read every serious application myself.

# **Why this isnโ€™t a typical startup bet**
**Proven demand, real usage.** Millions use the product in Japan, 12M+ Q&As exchanged, already monetizing through paid questions, memberships, tips, and Paid Answers.

**Default-alive, scaling by choice.** Backed by a profitable, publicly traded Japanese company (Howtelevision, Tokyo Stock Exchange). Weโ€™re expanding because we want to, not because a runway clock is forcing us.

**Real startup upside.** mond, Inc. is an independent Delaware C-corp. Your equity is in mond, Inc. itself โ€” real ownership in the company youโ€™re building. The Japan business is the proof of the model: known retention, known monetization, known unit economics. Youโ€™re not betting on whether the product works โ€” youโ€™re betting on how large it gets when itโ€™s global. Under NDA, before the working session, Iโ€™ll be transparent about the equity plan โ€” the intended ownership range, how and when grants get formalized, and the Japan numbers behind the model โ€” so you can evaluate it early.

**A contrarian thesis with a why-now.** As generic AI answers become free, the scarce thing is a specific personโ€™s answer โ€” their story, judgment, taste, context, and accountability. Not โ€œask the internet.โ€ Ask the person whose answer actually matters. Whether that becomes a global default โ€” the way people reach a specific personโ€™s judgment at scale โ€” is still an open question, and the bet youโ€™d be here to help make.

**A real architecture problem, not a blank page.** Most founding roles offer either a greenfield with no users or a legacy system with no mandate. This is the rare third case: real users, real data, real payments, and a mandate to rebuild the global platform.

# **How we build: a deliberately tiny, AI-native team**
We are not trying to hire a big team. Weโ€™re trying to hire a few exceptional engineers and give them enormous leverage. The bet is that a few exceptional engineers, using AI well, can out-build a much larger conventional team.

That means AI is in the critical path of how we work โ€” codegen, review, agents, internal tooling โ€” but judgment is never outsourced to it. We want people who use AI to go faster on the things that are mechanical and stay slow and deliberate on the things that are loadโ€‘bearing: architecture, correctness, money, trust. If โ€œthe best engineers are now the ones who wield AI bestโ€ sounds right to you, this is built for you.

# **What youโ€™ll do**
Youโ€™ll build and own mondโ€™s US/global platform. The existing service is live in Japan with real users, real data, and a real payments ledger; your job is to design and build the global platform that lets mond scale to a global audience. Youโ€™ll work closely with the CEO in Palo Alto and the Tokyo Tech Lead โ€” one global engineering team, with the US side taking clear ownership of the global platform and re-architecture.

# **How US and Tokyo work together**
We say โ€œone team,โ€ and we mean it โ€” but one team still needs clear decision rights. So theyโ€™re explicit:

  • **The US (you) owns the global platform and architecture:** the multiโ€‘locale/multiโ€‘currency backbone, the global API and data model, and the reโ€‘architecture roadmap. On those, you hold the pen.
  • **Tokyo owns the existing Japan product and the system that serves it today**, and is the deep source of truth on how the current product actually behaves with real users and real money.
  • **Perโ€‘market buildout is shared.** You design the global backbone; marketโ€‘specific buildout is divided with Tokyo case by case.
  • **The CEO breaks ties.** Iโ€™m in Palo Alto, in the room with you, and when US and Tokyo genuinely disagree on direction, I decide quickly so nothing stalls across timezones.

You wonโ€™t be a US satellite asking Tokyo for permission, and you wonโ€™t be overriding the team that built the proven product. You own the global platform weโ€™re building; Tokyo owns the proven Japan product and the system serving it today โ€” one team, raising the bar together.

# **What youโ€™ll own from day one**
**1. US/global platform architecture.** Lead the technical design and implementation of the platform that powers mond outside Japan: multiโ€‘locale and multiโ€‘currency, global API and dataโ€‘model design, reliability for viral traffic (regional traffic can jump an order of magnitude in hours), trust & safety as a core layer, and payments / points / monetization. You design the global backbone; perโ€‘market buildout is shared with Tokyo.

**2. Reโ€‘architecture of a live product.** mond is one live app today. Audit current and anticipated bottlenecks, decide what stays and what changes, build the migration path to the nextโ€‘generation system, and make pragmatic tradeoffs between speed, correctness, and longโ€‘term architecture โ€” shaped together with the CEO and Tokyo Tech Lead.

**3. Creator monetization and payments correctness.** Extend the production ledger into a crossโ€‘market system: dualโ€‘market Stripe platform accounts, Connect payouts, perโ€‘transaction doubleโ€‘entry records, multiโ€‘currency, and a points / virtualโ€‘currency economy. This is the economic layer of the creator platform.

**4. Product surfaces, not just infrastructure.** Build the product itself: creator inbox, question intake and answer flow, public answer pages, paidโ€‘answer mechanics, monetization flows, moderation surfaces, and early US growth loops. You make product calls without a PM or a perfect spec โ€” the CEO will be in user interviews alongside you.

**5. Trust & safety as product.** mond only works if people can be candid without the product becoming toxic. Design the safety layer โ€” moderation pipeline, AIโ€‘assisted tooling, creator controls, abuse prevention, reporting and escalation โ€” that keeps candid, unattributed questions safe from harassment while preserving what makes them honest.

**6. Minimum analytics foundation.** Define the minimum measurement needed for fast iteration, then decide what to build directly, what to keep simple, and what to delegate to the appropriate Tokyoโ€‘side engineers. The priority is the endโ€‘user product and the global architecture.

# **Growth path**
This role starts as Founding Engineer / Technical Lead, US, and can grow into CTO / Head of Engineering as the US team scales โ€” earned through building: architecture quality, product judgment, recruiting pull, crossโ€‘region trust, and aligning people around the right technical direction.

# **Current stack**

  • - Web: Next.js, TypeScript
  • - Mobile: React Native + Expo
  • - Backend: Node.js, Prisma
  • - API: Hasura GraphQL
  • - Database: Postgres on Cloud SQL
  • - Infrastructure: GCP, Terraform
  • - Repo: TypeScript monorepo

Youโ€™ll decide what stays, what changes, and what becomes the global platform.

Requirements

# **The one-paragraph pitch**
**AI made answers cheap. Human judgment is becoming scarce.**

mond is the social inbox where audience questions become public creator content. Fans donโ€™t just consume a creatorโ€™s posts โ€” they ask the questions that pull out the creatorโ€™s judgment, stories, taste, and ideas. On mond, fans write candidly to specific creators; creators answer in their own voice and earn from it. Private curiosity becomes public content: candid questions, accountable answers.

This already works. Millions of people use mond in Japan, and 12M+ questions and answers have been exchanged โ€” growing ~2.9ร— year over year, with 99%+ addressed to a specific person, not a generic topic. Creators monetize directly through paid questions, memberships, tips, and Paid Answers.

Japan was the first market โ€” the proof. The ambition is not โ€œexpand beyond Japan.โ€ Itโ€™s to take a model that already works and build it for a global audience, from Palo Alto. This is not a localization role. The US team defines the global product and architecture, working with Tokyo as one team. Youโ€™ll own the technical design and implementation of the US/global platform, lead the re-architecture for multi-locale and multi-currency scale, and help launch mond in the US. As the US team scales, this role can grow into CTO / Head of Engineering.

# **About me**
Iโ€™m Yosuke, CEO of mond, Inc. and founder/CEO of Howtelevision, the profitable public company backing mond. I took Howtelevision public on the Tokyo Stock Exchange, built mond from zero to millions of users, and moved from Tokyo to Palo Alto with my family to build the global company in person, from here. I read every serious application myself.

# **Why this isnโ€™t a typical startup bet**
**Proven demand, real usage.** Millions use the product in Japan, 12M+ Q&As exchanged, already monetizing through paid questions, memberships, tips, and Paid Answers.

**Default-alive, scaling by choice.** Backed by a profitable, publicly traded Japanese company (Howtelevision, Tokyo Stock Exchange). Weโ€™re expanding because we want to, not because a runway clock is forcing us.

**Real startup upside.** mond, Inc. is an independent Delaware C-corp. Your equity is in mond, Inc. itself โ€” real ownership in the company youโ€™re building. The Japan business is the proof of the model: known retention, known monetization, known unit economics. Youโ€™re not betting on whether the product works โ€” youโ€™re betting on how large it gets when itโ€™s global. Under NDA, before the working session, Iโ€™ll be transparent about the equity plan โ€” the intended ownership range, how and when grants get formalized, and the Japan numbers behind the model โ€” so you can evaluate it early.

**A contrarian thesis with a why-now.** As generic AI answers become free, the scarce thing is a specific personโ€™s answer โ€” their story, judgment, taste, context, and accountability. Not โ€œask the internet.โ€ Ask the person whose answer actually matters. Whether that becomes a global default โ€” the way people reach a specific personโ€™s judgment at scale โ€” is still an open question, and the bet youโ€™d be here to help make.

**A real architecture problem, not a blank page.** Most founding roles offer either a greenfield with no users or a legacy system with no mandate. This is the rare third case: real users, real data, real payments, and a mandate to rebuild the global platform.

# **How we build: a deliberately tiny, AI-native team**
We are not trying to hire a big team. Weโ€™re trying to hire a few exceptional engineers and give them enormous leverage. The bet is that a few exceptional engineers, using AI well, can out-build a much larger conventional team.

That means AI is in the critical path of how we work โ€” codegen, review, agents, internal tooling โ€” but judgment is never outsourced to it. We want people who use AI to go faster on the things that are mechanical and stay slow and deliberate on the things that are loadโ€‘bearing: architecture, correctness, money, trust. If โ€œthe best engineers are now the ones who wield AI bestโ€ sounds right to you, this is built for you.

# **What youโ€™ll do**
Youโ€™ll build and own mondโ€™s US/global platform. The existing service is live in Japan with real users, real data, and a real payments ledger; your job is to design and build the global platform that lets mond scale to a global audience. Youโ€™ll work closely with the CEO in Palo Alto and the Tokyo Tech Lead โ€” one global engineering team, with the US side taking clear ownership of the global platform and re-architecture.

# **How US and Tokyo work together**
We say โ€œone team,โ€ and we mean it โ€” but one team still needs clear decision rights. So theyโ€™re explicit:

  • **The US (you) owns the global platform and architecture:** the multiโ€‘locale/multiโ€‘currency backbone, the global API and data model, and the reโ€‘architecture roadmap. On those, you hold the pen.
  • **Tokyo owns the existing Japan product and the system that serves it today**, and is the deep source of truth on how the current product actually behaves with real users and real money.
  • **Perโ€‘market buildout is shared.** You design the global backbone; marketโ€‘specific buildout is divided with Tokyo case by case.
  • **The CEO breaks ties.** Iโ€™m in Palo Alto, in the room with you, and when US and Tokyo genuinely disagree on direction, I decide quickly so nothing stalls across timezones.

You wonโ€™t be a US satellite asking Tokyo for permission, and you wonโ€™t be overriding the team that built the proven product. You own the global platform weโ€™re building; Tokyo owns the proven Japan product and the system serving it today โ€” one team, raising the bar together.

# **What youโ€™ll own from day one**
**1. US/global platform architecture.** Lead the technical design and implementation of the platform that powers mond outside Japan: multiโ€‘locale and multiโ€‘currency, global API and dataโ€‘model design, reliability for viral traffic (regional traffic can jump an order of magnitude in hours), trust