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Senior Software Engineer (Full-Stack, AI Focus) - dealops

About us:

B2B companies lose up to $100M per year by discounting too much, too soon. Our founder experienced this firsthand at Stripe, where she helped price hundreds of deals.

As pricing models become more complex (shifting to usage-based, outcome-based, and hybrid structures), this challenge only grows. Our AI-powered platform tackles it directly, guiding sales teams to close deals faster without leaving money on the table.

In just 75 days since launching our private beta, we secured enterprise contracts with some of the fastest-growing AI and fintech companies in the world. Backed by $6.7M from General Catalyst, Pear VC, and executives from OpenAI, Stripe, Slack, and more, we’re now focused on scaling revenue 10x and reshaping the future of deal pricing.

If you’re excited by high-impact engineering challenges and the prospect of transforming pricing from art into science, we’d love to chat.

The Role:

We’re looking for a Senior Software Engineer to join our growing engineering team and help us build the next-gen AI-powered platform for revenue optimization. You’ll work across the stack, from building our core deal pricing product to helping customers optimize their revenue strategies using data-driven insights. We’re a small team, so there will be plenty of opportunities to fully own high-impact products.

What You’ll Do:

  • First 3 Months:

    • Develop key features for deal pricing and packaging recommendations, blending machine learning with rule-based engines to optimize pricing.

    • Execute A/B tests that directly impact customer revenue, with past experiments yielding a 15-20% boost.

    • Collect and integrate customer feedback to ensure iterative improvement and product-market fit.

  • 6 Months:

    • Further develop our pricing and packaging recommendations by building agents that process unstructured natural language data.

    • Spearhead infrastructure and tooling for admin users, enabling customization through natural language and LLMs (cutting customer onboarding time by 10x).

    • Contribute to the future product roadmap and vision, laying the groundwork for sales optimization solutions beyond pricing.

  • 9 Months:

    • Own an entire product or product feature suite, from design to implementation, and continue to innovate.

What excites us:

  • 3+ years of experience in software development, with a strong focus on full-stack development.

  • Proficiency in React, TypeScript, and SQL (PostgreSQL or similar).

  • Proven ability to build and launch scalable, reliable software products in collaboration with cross-functional teams

  • Experience with complex systems and high-impact features, ideally in a fast-moving environment.

  • Experience with AI/ML tools, machine learning models, and prompt engineering is a plus.

What excites you:

  • Tackle Complex, High-Impact Challenges: Transforming pricing from an art to a science is a technically complex, high-stakes problem with tons of room for technical innovation and creative problem-solving. AI is at the core of our vision, and this year, we’re building AI agents that automatically generate quotes for sales reps and assist with approval flows for managers.

  • High Ownership & Influence: As an early engineer, you'll own large pieces of the product and infrastructure from day one. Your work will have a direct and visible impact, shaping both our tech stack and broader product vision. You’ll also have many opportunities to make highly strategic decisions, not just in development but also in defining how pricing software evolves.

  • Fast-Paced Career Growth & Leadership Opportunities: Working in a startup means real, accelerated career growth. Whether you want to step into a tech lead role, drive product innovation, or architect major projects, you’ll be in a prime position to take on leadership as we scale.

  • Shape Company Culture: As an early hire, you’ll help define how we work together and what our company values become. This is an opportunity to create something truly special, both technically and culturally.

Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

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What You Should Know About Senior Software Engineer (Full-Stack, AI Focus) - dealops, Pear VC

At DealOps, we're on a mission to revolutionize how B2B companies handle pricing with the help of cutting-edge AI technology. We're looking for a talented Senior Software Engineer (Full-Stack, AI Focus) to join our dynamic team in Austin, TX. If you're enthusiastic about solving high-impact engineering challenges and have a knack for transforming complex pricing dilemmas into user-friendly solutions, then this opportunity is for you! In this role, you'll collaborate with a passionate group of innovators to develop our AI-powered platform, enabling sales teams to close deals faster without losing revenue. Your work will span the entire software stack, as you create impactful features, optimize pricing strategies using data-driven insights, and lead significant projects from design to launch. You’ll be given ownership over key aspects of our product, influencing our direction as we scale and reshape the future of deal pricing. If you're excited to take the next step in your career with a rapidly growing company, where your contributions genuinely matter, we invite you to be part of our journey and help us make pricing an exact science.

Frequently Asked Questions (FAQs) for Senior Software Engineer (Full-Stack, AI Focus) - dealops Role at Pear VC
What are the responsibilities of a Senior Software Engineer at DealOps?

As a Senior Software Engineer at DealOps, you will be responsible for developing key features for our deal pricing and packaging recommendations, executing A/B tests that directly impact customer revenue, and integrating customer feedback for product improvement. Your role will also involve building agents that process unstructured natural language data and spearheading infrastructure for admin users, optimizing customer onboarding significantly.

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What qualifications are needed for the Senior Software Engineer position at DealOps?

Ideal candidates for the Senior Software Engineer position at DealOps should possess at least 3 years of experience in software development, particularly in full-stack environments. Proficiency in React, TypeScript, SQL, and a strong background in building scalable software products in agile teams are critical. Experience with AI/ML is a bonus, but a passion for complex problem-solving is essential.

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How does AI play a role in the Senior Software Engineer role at DealOps?

AI is central to the Senior Software Engineer role at DealOps. You will engage with AI tools and machine learning models to optimize pricing strategies, develop AI agents for sales quotes, and work on incorporating natural language processing to enhance product features, ultimately leading to exciting innovations that transform pricing.

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What opportunities for career growth does DealOps offer to Senior Software Engineers?

At DealOps, Senior Software Engineers enjoy a fast-paced environment that fosters quick career advancement. As an early hire, you will have unique opportunities to step into leadership roles, influence product innovation, and architect major projects, all while shaping the company culture and tech stack from the ground up.

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What does the work culture look like for a Senior Software Engineer at DealOps?

The work culture at DealOps is focused on collaboration, creativity, and ownership. As a Senior Software Engineer, you'll be part of a small, agile team where your contributions are highly valued. You will play a pivotal role in defining our values and work dynamics, fostering an environment that nurtures innovation and teamwork.

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Common Interview Questions for Senior Software Engineer (Full-Stack, AI Focus) - dealops
Can you explain your experience with full-stack development?

When answering this question, highlight your hands-on experience with both front-end and back-end technologies. Discuss specific projects where you've used frameworks like React or other front-end technologies along with your proficiency in back-end languages and databases, illustrating how you successfully integrated the two.

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What strategies do you use to optimize pricing using AI?

In your response, outline your approach to data analysis, experimentation, and machine learning techniques. Emphasize how data-driven decision-making, complemented by A/B testing and customer feedback integration, creates effective pricing strategies, referencing examples from past work if applicable.

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How do you ensure the scalability of software products?

Discuss your understanding of scalability principles, such as code optimization, efficient database structure, and load balancing strategies. Share examples of when you've implemented scalable solutions in previous projects and the impact they had on product performance.

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How do you approach teamwork in an engineering setting?

Highlight your collaborative skills and experiences. Emphasize how communication, joint problem-solving, and leveraging the diverse skills of team members have led to successful project outcomes. Provide specific examples of your role in team projects.

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Can you give an example of a challenging technical problem you solved?

Use the STAR method (Situation, Task, Action, Result) to structure your response. Describe a challenging situation you faced, your task in it, the actions you took to address it, and the positive results of your efforts. This demonstrates your problem-solving capabilities and technical acumen.

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What excites you about working in AI and machine learning?

Express your passion for AI by discussing its potential to innovate industries and improve processes. Share experiences that have further fueled your interest, and how you see it transforming your role as a Senior Software Engineer at DealOps.

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How do you prioritize tasks in a fast-paced environment?

Discuss your methods for effective prioritization, such as using agile methodologies, assessing project timelines, and aligning tasks with team goals. Provide examples of how you've successfully managed competing deadlines in previous roles.

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How do you stay updated on the latest technologies in your field?

Mention your dedication to continual learning through workshops, online courses, industry conferences, or tech meetups. Describe how this commitment has kept your skills current and allowed you to integrate new technologies into your work.

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What is your experience with database management systems?

Highlight your experience with various database management systems like PostgreSQL. Discuss how you've designed, optimized, and scaled database solutions, including any specific projects where efficient database management was critical to project success.

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Can you discuss a time when you had to gather user feedback for a product?

Share your approach to user feedback collection through methods like surveys, interviews, or usability testing. Outline how you analyzed the feedback received and implemented changes to enhance product functionality or user experience.

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