Mid Level Software Engineer Remote

Company Intelligence

• Company history, size, and industry position: Appfigures is a SaaS analytics company specializing in app store analytics, ASO (App Store Optimization) tools, and market intelligence for mobile apps. Founded in 2009, it has established itself as a trusted provider for indie developers, studios, and agencies, offering unified analytics for revenue, downloads, subscriptions, and user reviews. While not as large as some enterprise analytics firms, Appfigures is well-regarded in the mobile analytics and ASO space, with a reputation for reliable, developer-friendly tools.
• Recent news, growth, and strategic directions: In 2025, Appfigures continues to focus on AI-driven analytics, deeper market intelligence, and flexible integrations. The company has expanded its capabilities to include competitor analysis, SDK tracking, and automated alerts, reflecting a strategic push toward comprehensive, real-time market insights. The ASO and app analytics market is rapidly evolving, and Appfigures is keeping pace by integrating AI and automation into its offerings.
• Company culture and work environment: Appfigures is known for a lean, remote-friendly team structure. The company values transparency, autonomy, and a strong focus on product quality. Employees report a collaborative environment where individual contributions are visible and valued. The remote setup encourages flexibility and work-life balance.
• Values, mission, and what they stand for: Appfigures’ mission is to empower app developers and businesses with actionable data to grow their apps and understand the market. The company stands for clarity, accuracy, and accessibility of analytics, aiming to make complex data understandable and useful for all levels of users.
• Office locations and hybrid/remote policies: Appfigures is a fully remote company, with team members distributed globally. There are no mandatory in-person office requirements, making it ideal for candidates seeking remote-first roles.

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Program Deep Dive

• Detailed program structure and timeline: The Mid Level Software Engineer position is a full-time, permanent role rather than a fixed-term internship or graduate program. New hires typically undergo a structured onboarding process, including product training, codebase immersion, and mentorship from senior engineers during the first 1-3 months.
• Specific skills and competencies they're looking for: Appfigures seeks candidates with:
• Strong proficiency in modern programming languages (likely Python, JavaScript/TypeScript, or similar)
• Experience with SaaS platforms, APIs, and cloud infrastructure
• Familiarity with analytics, data processing, or ASO tools is a plus
• Problem-solving, autonomy, and clear communication skills
• Daily responsibilities and learning opportunities:
• Develop and maintain core analytics and ASO tools
• Collaborate with product and design teams
• Contribute to code reviews and technical discussions
• Monitor and improve system performance
• Opportunity to work on AI-driven features and integrations
• Mentorship and training provided:
• Direct mentorship from senior engineers
• Access to internal documentation and learning resources
• Regular feedback cycles and code reviews
• Opportunities to attend industry webinars and conferences
• Career progression paths after completion:
• Advancement to Senior Software Engineer or Technical Lead
• Lateral moves into Product, Data Science, or DevOps roles
• Potential to specialize in AI/ML, analytics, or platform architecture

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Application Success Guide

• Exact application requirements and deadlines:
• Resume/CV highlighting relevant technical experience
• Cover letter (optional but recommended) explaining your interest in analytics and remote work
• Portfolio or GitHub link showcasing relevant projects
• No fixed deadline—applications are reviewed on a rolling basis
• Step-by-step application process:

1. Submit application via the provided Indeed link
2. Initial screening (resume and portfolio review)
3. Technical assessment (coding challenge or take-home project)
4. Video interviews (technical and behavioral)
5. Final interview with team lead or CTO

• Common interview questions for this specific role/company:
• How would you design a scalable analytics pipeline for millions of app events?
• Describe your experience with SaaS or analytics platforms.
• How do you ensure code quality and maintainability in a remote team?
• What’s your approach to debugging complex data issues?
• How do you stay updated on new technologies in analytics or ASO?
• Assessment centers or case studies they use:
• Technical coding challenge (real-world scenario, e.g., building a data processing module)
• System design discussion (scalability, reliability, and integration with APIs)
• What makes a standout candidate:
• Demonstrated ownership of end-to-end projects
• Clear, concise communication—especially in remote settings
• Passion for analytics and data-driven products
• Proactive problem-solving and eagerness to learn new tools

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Insider Tips

• Company-specific interview tips and what they value:
• Show genuine interest in analytics and app growth
• Be ready to discuss past remote work experiences and how you manage autonomy
• Highlight collaborative projects and your role in team success
• Technical skills vs soft skills priorities:
• Technical skills are essential, but communication and self-management are equally valued due to the remote setup
• Industry knowledge you should demonstrate:
• Understanding of ASO, SaaS business models, and mobile app ecosystems
• Awareness of current trends in app analytics and AI-driven tools
• Questions to ask interviewers to show genuine interest:
• How does Appfigures prioritize new features for its analytics platform?
• What are the biggest technical challenges facing the team right now?
• How does the company support professional growth and learning?
• Red flags to avoid in applications/interviews:
• Vague or generic answers about analytics or remote work
• Lack of examples demonstrating ownership or initiative
• Poor communication or inability to explain technical concepts clearly

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Practical Information

• Salary/stipend ranges for this level:
• Estimated range: $80,000–$120,000 USD/year for mid-level remote engineers at SaaS analytics companies of similar size (exact figure may vary by location and experience)
• Benefits package details:
• Health insurance
• Flexible paid time off
• Remote work stipend
• Professional development budget
• Equipment allowance
• Start dates and program duration:
• Flexible start dates; role is ongoing, not a fixed-term program
• Networking opportunities and alumni connections:
• Regular virtual team events
• Access to industry conferences and webinars
• Active alumni network of former engineers in the analytics and SaaS space

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Actionable Advice:

• Tailor your resume to highlight analytics, SaaS, and remote work experience.
• Prepare for technical interviews by practicing data processing and system design problems.
• Demonstrate initiative, autonomy, and a passion for analytics in your application and interviews.
• Research ASO trends and Appfigures’ product suite to show industry awareness.
• Ask thoughtful questions about team culture, technical challenges, and growth opportunities to stand out.