Opto is engineering the future of private markets to improve client outcomes and drive capital to the most transformative ideas.
The opportunity is huge. The global alternative investments industry was worth an estimated $16.8T at the end of 2023, but is forecast to grow to $29.2T by 2029. But the private investment process typically remains opaque, highly manual, and error-prone, which limits access to the select few insiders who are willing to bear the pain.
Opto is a revolutionary end-to-end solution for wealth managers of any size - from small investment advisors to large multi-family offices to private banks - to build, fundraise for, and manage private markets programs at scale. We combine exceptional Silicon Valley engineering talent with experienced investors and industry specialists to fix this broken system through the power of technology. Our platform banishes the nightmare of slide decks, spreadsheets, and paperwork to the past, and arms our clients with the tools, data, and guidance to identify and access the right opportunities for their clients.
Fixing private markets will not be easy and demands courage, but we’re not afraid to do things differently. We are unapologetically bold. We value strong opinions, clear communication, and purposeful execution.
Up for the challenge? Come join us.
The Role
Software Engineers at Opto are tasked with the challenge of turning complex business problems into elegant and pragmatic engineering solutions. We are context-driven, customer-centric builders of tools and systems. We are end-to-end owners of engineering problems and solutions who constantly challenge one another to evolve as builders and collaborators. Oh, and we have fun along the way, because otherwise, what's the point?
Check out our blog to learn more about our tech culture here.
Our tech stack consists of a series of React-based Next.js Typescript applications hosted in Vercel. Behind that a collection of Aurora-backed Python REST API services are hosted as containerized applications in AWS. We make use of AWS Lambda for asynchronous tasks and we rely on Snowflake for data ingestion and warehousing. Our service deployments are completely automated and execute multiple times daily. Our tech stack continues to evolve, driven by our shared principles of optimizing for modularity, scalability, and team-level service ownership.
We are seeking a highly skilled and motivated Software Engineer to advance and harden our AI capabilities. In this role, you will develop and deploy AI-driven solutions that enhance our investment due diligence and decision-making processes. You will work closely with data specialists, financial analysts, and software engineers to integrate AI technologies into our platform, ensuring scalability, reliability, and performance.
Responsibilities
- Utilize AI models and algorithms to optimize investment due diligence and decision-making processes
- Collaborate with data & financial analysts to translate complex financial data and research into robust AI applications
- Integrate AI solutions into our investment platform, ensuring seamless interaction with existing systems and data pipelines
- Use latest techniques in prompt engineering, RAG, and fine-tuning to ensure performance performance, scalability, and reliability
- Conduct rigorous testing and validation of AI models and pipelines to ensure accuracy and robustness
- Monitor and maintain AI systems, addressing any issues or improvements as needed
- Stay up to date with the latest advancements in AI and machine learning technologies and apply them to solve complex financial problems
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Participate in code reviews, contribute to team knowledge, and mentor junior engineers as needed
Expectations
- Be accountable for the delivery of high quality software projects in coordination with teammates and stakeholders on mutually agreed upon timelines
- Seek context and rapidly iterate on solutions to eliminate ambiguity and drive projects forward
- Participate actively in all phases of product development across specification, implementation, QA testing, deployment, and operations
- Foster a culture of collaboration by actively engaging in discussions, documentation, and code review
- Participate actively in engineering recruiting (interviewing, problem specification, role ownership, etc)
- Raise your hand when you need help - don’t hesitate to reach out to stakeholders (product, teammates, managers, etc) to unblock your progress
Qualifications
- 4-year technical degree (or equivalent work experience)
- 2-4+ years software development experience with a focus on generative AI, including use of RAG, fine tuning, and prompt engineering
- Familiarity with AI application architectures
- Proficiency in programming languages such as Python, Java, or C++
- Solid understanding of data structures, algorithms, and software design principles
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes)
- Exposure to data science and data engineering, particularly with ingestion pipelines and data quality
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment
- Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders
- Familiarity with financial markets and investment strategies is a plus
How to Apply
Please fill out the below fields, and attach a Resume and Cover Letter. Why a Cover Letter? We receive a high volume of applicants, and we have real humans that read each and every resume, we encourage you to use creativity in your Cover Letter and speak directly to why you want to join our team!
We will review your resume in as timely a manner as we are able to, so kindly refrain from reaching out to hiring managers or other Opto team members via email or linkedin, as this won't improve or fast track your application.
Compensation and Benefits
Opto has a high bar for talent, and we are committed to building the best teams possible. Candidates are never subjected to discrimination based on race, citizenship, religion, ethnicity, gender or gender identity, sex, pregnancy, national origin, age, sensory, mental, or physical disability, or any other characteristic.
The successful candidate for this role can expect a generous compensation and benefits package. The cash salary range for this role is $125,000-$245,000 dependent on skills, experience and expected contribution.
All full time employees at Opto enjoy:
- Significant equity
- Health, dental, and vision insurance
- Unlimited PTO
- Retirement savings plan (401k)
- Learning, Fitness and Commuter stipends
- Paid Holidays
This position is based primarily onsite in either our San Francisco or New York City offices.
Top Skills
What the Team is Saying
What We Do
Opto Investments is a technology firm changing the way fiduciaries experience private markets.
Opto partners with advisors, CIOs, and other fiduciaries to solve the challenges of building and distributing customized private markets solutions at scale.
We bring all of Opto to our partnerships and provide hands-on support as required across our partners’ private markets programs. We build funds to fiduciaries’ exact specifications in terms of asset class and structure. We also provide a branded investment platform with intelligent workflows that simplifies the private markets investment process, minimizes paperwork, saves time, and creates better advisor and client experiences.
Why Work With Us
Opto embraces a tech-forward approach to challenge traditional norms in the financial services space.
We value those who come to the table with strong opinions and constantly communicate our intent, execute with a purpose and learn from our mistakes. We are not afraid to do things differently.
Gallery
Opto Investments Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We take a flexible approach to working arrangements, based upon your needs and those of our business, spanning the spectrum from fully remote to fully in-office.
