You've been laid off from your AI job. What's the best way to negotiate a new one?

This is a fantastic question. In this essay I will explain that I’m not only an “invited to contribute” expert, but I also need answers to this ASAP. For a friend.

To land a new job post layoff, these are the steps, one can follow: 1. Assess Your Value: Know your strengths and market appeal. 2. Revamp Your Resume: Showcase your skills and wins effectively through resume and CV. 3. Network: Upload your portfolio and showcase your expertise on professional platforms. 4. Research: Know the market, trends, and potential employers through research. 5. Negotiate: Be ready to discuss pay, perks, and more for a fair deal.

→ Highlight past wins with data. → Show adaptability through learning. → Research market value for your skills. → Negotiate beyond just salary (benefits, bonus etc). → Network actively and showcase your expertise.

After being laid off from an AI job, the best way to negotiate a new one involves leveraging your network, updating your resume with recent projects and skills, and clearly articulating your value proposition to potential employers. Focus on how your experience aligns with the needs of the companies you're interested in. Prepare for interviews by researching industry trends and practicing your responses to common questions. When negotiating an offer, be informed about the standard compensation for your role and location, and don't hesitate to negotiate for what you believe you deserve, considering both salary and benefits.

Assessing your situation is involves understanding your strengths, weaknesses, and what you seek in your next role. Evaluate the skills you've acquired, projects you've contributed to, and how these align with current industry needs. Reflect on your career goals, desired work culture, and compensation expectations. This self-assessment not only prepares you to present yourself confidently to potential employers but also helps you identify opportunities that match your expertise and aspirations. Knowing your value and what you bring to the table enables you to negotiate effectively, ensuring that your next job not only offers financial security but also contributes to your professional growth and fulfilment in the AI field.

Being laid off from an AI job can be a challenging experience, but it also presents an opportunity to reassess your career goals and refine your skills. To negotiate a new job effectively, highlight your unique AI expertise and accomplishments, tailor your approach to align with the prospective employer's needs, and demonstrate how your experience can drive innovation and solve complex problems within their organization. Networking and staying updated on industry trends can also give you an edge in negotiations.

After experiencing a layoff from your AI position, strategize your approach to negotiating a new job effectively. Consider leveraging online platforms like LinkedIn to showcase your expertise, connect with industry professionals, and explore job opportunities. Engage in online discussions, share relevant articles, and contribute to AI-related groups to enhance your visibility and network. Furthermore, consider seeking guidance from career coaches or mentors who can provide valuable insights and support throughout the job search and negotiation process. By combining online presence with professional guidance, you can enhance your job search strategy and increase your chances of securing a rewarding AI role.

Transition periods, like the aftermath of a layoff, are not just about finding a new job; they're a canvas for self-reflection and strategic planning. Dive deep into the why's of your past to illuminate the what's of your future. Understand the layers of your professional journey, assessing strengths, weaknesses, and passions. This introspection is your compass, guiding you to align your career trajectory with your core values and aspirations. It's an opportunity to recalibrate, ensuring your next move isn't just a step, but a leap towards fulfilling your potential and achieving your long-term vision.

Not one size fits all roles. So embrace the situation, it's not your fault so start fresh and move on with the available opportunities. There's so much demand in the market so align yourself. Read job post, descriptions and get understanding on what's needed in the market. Don't stick to one particular AI vendor and keep flexibility and increase your knowledge and competency. If not earning, switch to learning mode as this is the best way to keep ahead and create your own #AI USP version.

In the world of technology, showcasing your work is like opening a window into your mind for others to see how you tackle problems. I remember during the dot-com bust era (early 2000s) - starting out with simple projects, like creating a website for their businesses. Most of the work I did was free but it was a hit among local small businesses. These little projects opened so many doors! Keeping your portfolio fresh with your latest adventures in code is crucial. Think of it as a living document of your journey, a treasure map that leads to your next big opportunity. And when you share it, you're not just showing your skills; you're telling your story.

Couldn't agree more! A well-curated portfolio on GitHub, Kaggle, or Medium not only showcases your expertise but also your journey in AI. It’s a dynamic way to demonstrate problem-solving skills, tool proficiency, and tangible results. Remember, relevance and organization are key. 🌟 Plus, having easy access links in your resume and profiles? That’s the cherry on top for making a strong, professional impression. Keep it updated!

Updating your portfolio post-layoff is a strategic move that showcases your resilience and adaptability. Start by cataloging your accomplishments from your previous role, focusing on unique contributions and successful projects. This not only serves as a confidence booster but also helps potential employers gauge your capabilities. Next, tailor your portfolio to align with your career aspirations. If you’re pivoting within the AI field, highlight relevant skills and experiences. Consider freelance projects or certifications to fill any skill gaps. Remember, a layoff doesn’t define your worth. It’s an opportunity to reassess, upskill, and come back stronger.

Crafting a competitive AI portfolio requires thorough research and strategic planning. Synthesize your skills and achievements to showcase real-world applications of AI, emphasizing diversity and ethical considerations. Develop a narrative that aligns with your career goals and highlights interdisciplinary projects and continuous learning in AI ethics. By presenting a well-curated portfolio, you demonstrate your expertise, creativity, and commitment to responsible AI development, setting yourself apart in the competitive job market.

Updating your portfolio is essential to showcase your recent projects, skills, and accomplishments to potential employers or clients. For example, if you've recently completed a machine learning project that improved customer retention for a retail company, include details about the project scope, methodologies used, and the impact on business outcomes in your portfolio. Additionally, highlight any new skills or certifications you've acquired since your last update to demonstrate your ongoing growth and expertise in the field of AI and machine learning. Regularly updating your portfolio ensures that it accurately reflects your current capabilities and increases your chances of attracting new opportunities.

Start by reviewing your existing portfolio, if you have one, and ensure it reflects your latest work and achievements. If you don't have a portfolio yet, now is the perfect time to create one using platforms like GitHub, Kaggle, or Medium. Organize your portfolio to highlight the problems you've solved, the tools and techniques you've utilized, and the results you've achieved in previous projects. Include code samples, publications, and any other relevant materials that demonstrate your AI expertise. Make your portfolio easily accessible by providing links in your resume, cover letter, and online profiles.

An impressive portfolio of your work, writings, and code samples is one of the finest ways to showcase your AI expertise. If you don't have one already, establish one using a platform like GitHub, Kaggle, or Medium. If you have one, make sure it reflects your most recent accomplishments and work. Ensure that your portfolio is easily accessible, well-organized, and pertinent. Emphasize the issues you resolved, the resources you employed, and the outcomes you attained. Provide links to your online profiles, cover letter, and résumé that point to your portfolio.

When negotiating for a new AI job after being laid off, it's crucial to showcase your expertise and value to potential employers. Start by updating your resume with your most recent accomplishments and tailor it to highlight skills that are in demand within the AI industry. Research the company and the role you're applying for to understand their needs and how your experience aligns with their objectives. During interviews, be prepared to discuss specific projects and results that demonstrate your problem-solving abilities and technical proficiency. Use quantifiable achievements to illustrate your impact, such as efficiency improvements or revenue growth from AI solutions you've developed.

Updating your portfolio is crucial after a layoff. Showcase recent projects, certifications, and skills acquired during downtime. For example, if you learned a new programming language or completed an online course, add it to your portfolio. Highlighting relevant experience and demonstrating continuous learning can impress potential employers and increase your chances of landing a new AI job.

💦 Negotiating a new AI job after being laid off requires strategic planning and effective network communication. Understand the current trends in the AI job market. Research salary ranges, benefits, & job requirements for similar positions to establish a baseline for negotiations. 💦 If you're unsure about salary negotiations or require assistance in navigating the process, consider seeking advice from career coaches, mentors, or professional organizations specializing in AI and tech careers. Then assess your market value based on your skills, experience, and the demands of the job market. Be prepared to articulate your value proposition & justify your salary expectations with concrete examples of your contributions and accomplishments.

The best time to connect with your network is before you need to. As it is with all relationships: deposit before you withdraw.

Leverage your professional network. Connect with former colleagues, mentors, and industry contacts. Inform them of your situation and your interest in new opportunities. Networking can often lead to job leads or referrals that might not be publicly advertised.

Leverage Your Network: Reach out to former colleagues, mentors, and industry contacts. Inform them of your situation and ask for advice, referrals, or information on job openings. Attend Industry Events: Conferences, webinars, and meetups can be great places to meet potential employers and learn about new job opportunities.

Networking and research are crucial when negotiating a new AI job after a layoff. Start by reaching out to your professional network, including former colleagues, mentors, and industry contacts. They can provide valuable insights about current market trends and job opportunities. Next, conduct thorough research on potential employers. Understand their business needs, culture, and the specific skills they value. This will help you tailor your application and interview responses to demonstrate how your unique skills and experiences can add value to their organization. Use this as an opportunity to reassess your career goals, upskill, and even consider diversifying into other sectors. Finally, be confident in discussing your compensation.

Navigating post-layoff AI job negotiations demands strategic networking and thorough research. Stay abreast of industry trends and ethical considerations, leveraging platforms like #LinkedIn 🌍 for connections and AI conferences for insights. Tailor your approach to highlight your unique skills and ethical stance, positioning yourself as an advocate for responsible AI development. By harnessing the power of network and research, you can negotiate positions that align with your values and propel your career forward in the dynamic AI landscape.

Networking and thorough research are essential steps in negotiating a new AI job after being laid off. For example, leverage professional networking platforms like LinkedIn to connect with industry peers, attend virtual networking events, and join relevant AI-focused groups to expand your network and gather insights about potential job opportunities and market trends. Additionally, conduct comprehensive research on companies of interest, their AI initiatives, and current job openings to identify potential employers aligned with your skills and career objectives. This proactive approach equips you with valuable information and connections to navigate the job market effectively and negotiate favorable terms for your next role.

When rebounding from a layoff, networking becomes crucial in securing AI roles. Engage with former colleagues, managers, mentors, and clients, seeking referrals, recommendations, and feedback. Extend connections to AI professionals, recruiters, and employers through social media, forums, and events. Stay abreast of AI trends and research, delve into companies and projects aligning with your interests. This proactive networking and research approach unveils hidden opportunities, provides valuable insights, and cultivates meaningful professional relationships.

Start by reconnecting with former colleagues, managers, mentors, and clients, informing them of your job search and seeking referrals, recommendations, or feedback. Expand your network by connecting with AI professionals, recruiters, and employers through social media, forums, and industry events. Stay updated on the latest trends, news, and research in the AI field to remain informed and relevant. Dive into learning about companies, projects, and challenges that align with your interests and aspirations.

When tailoring your application, customize your resume and cover letter to match the job requirements and company culture. Highlight relevant skills and experiences that align with the position. For example, if the job requires experience with natural language processing, emphasize projects or achievements in that area. Use keywords from the job description to make your application stand out to recruiters and hiring managers. Remember to showcase your passion for AI and how you can contribute to the team's success.

Tailoring your application is crucial when negotiating a new AI job post-layoff. This involves aligning your skills and experiences with the job requirements. Highlight your achievements and how they’ve added value to your previous employers. Showcase your adaptability by discussing how you’ve navigated changes in the AI industry. Remember, layoffs are often strategic decisions and not a reflection of your capabilities. Use this opportunity to demonstrate resilience and a forward-thinking mindset. Your application should not just reflect who you are, but also who you can be in the new role.

Crafting a personalized application is crucial in the competitive AI job market. Conduct thorough research to align with industry demands and showcase proactive problem-solving. Tailor your experiences to match job requirements, offering solutions to potential challenges. Emphasize ethical AI practices and inclusivity in your portfolio. Leverage AI tools for resume optimization and customize cover letters. By tailoring your application, you demonstrate dedication to both the field and prospective employer, enhancing your chances of securing a position aligned with your career goals and ethical values.

Tailoring your application for a new AI job involves customizing your resume, cover letter, and any other application materials to align with the specific requirements and preferences of the employer. For instance, if you're applying for a machine learning engineer position at a healthcare technology startup, emphasize your experience with healthcare data and relevant machine learning algorithms in your resume. In your cover letter, highlight your passion for leveraging AI to improve healthcare outcomes and mention any relevant projects or achievements in the field. By tailoring your application to resonate with the company's industry focus and job requirements, you increase your chances of standing out as a strong candidate.

Rather than sending a generic application, tailor your resume, cover letter, and portfolio to match the specific position, company, and industry you're applying to. Incorporate keywords and phrases from the job description and company website to demonstrate your alignment with their requirements and objectives. Highlight your relevant skills, achievements, and experiences, emphasizing how you can contribute to solving the company's challenges and achieving their goals. Infuse your application with enthusiasm and passion for the AI field and the role you're pursuing. By crafting a tailored application, you distinguish yourself from other candidates and increase your chances of standing out and landing your next AI position.

Don't just send a generic application when you find a position that fits your goals and skill set. Customize your portfolio, cover letter, and resume for the job, business, and sector. Make use of the corporate website's and the job description's keywords and phrases. Highlight your accomplishments, value, and pertinent talents. Describe how you can assist the business in resolving issues and achieving its goals. Demonstrate your excitement and passion for the role and the field of AI. A customized application will make you stand out and attract attention.

Being laid off from an AI job can be a challenging experience, but it's also an opportunity to reassess your career path and align it with the latest industry trends. When negotiating for a new position, it's crucial to demonstrate how your unique skill set and experience in AI can drive innovation and efficiency for the prospective employer. Highlight your adaptability and continuous learning mindset, which are essential in the ever-evolving field of artificial intelligence. Showcasing your ability to contribute to the company's success through your expertise in AI can set you apart in the negotiation process.

Customizing your application is like giving it a secret sauce! 🚀 Use keywords from the job listing and company website to resonate with what they're looking for. Highlighting your relevant skills and achievements makes it clear why you're the perfect fit. Dive deep to show how you can tackle their challenges and propel their goals forward. Don't forget to sprinkle your application with your passion for AI and the role—it's the zest that can really make you stand out. Tailoring your approach can be the game-changer in getting noticed!

Démontrez à votre employeur ou partenaire que vous avez compris les enjeux et les tâches que vous aurez à réaliser. Demandez lui de vous décrire la journée type pour être sûr que cela colle avec votre vision.

Mastering AI job interviews requires a multifaceted approach. Stay updated on industry trends through comprehensive research and analyze discussions on AI ethics. Synthesize this knowledge with your experiences and develop solutions to common interview challenges. Incorporate ethical and social perspectives, showcasing your commitment to responsible AI development. Utilize innovative strategies like AI-powered interview prep platforms such as #Huru and narrative crafting to stand out. With thorough preparation, you can confidently navigate interviews and secure a position that aligns with your skills and values in the evolving AI landscape.

Preparing for interviews is crucial for success in landing a new job opportunity. Start by thoroughly researching the company, its culture, and the specific role you're applying for. Practice common interview questions and prepare concise, impactful responses that highlight your skills and experiences. Additionally, consider conducting mock interviews with a friend or mentor to simulate the interview experience and receive feedback on your performance. For example, if you're interviewing for a data scientist position at a tech company, researching the company's recent projects and demonstrating your understanding of relevant technologies and methodologies during the interview can leave a positive impression on the hiring team.

Some practical advice: Research the Company: Before an interview, research the company’s products, services, and their use of AI. Understand their challenges and think about how you can contribute. Practice Your Pitch: Be ready to discuss your previous work, how it relates to the new role, and what you can bring to the team. Practice answering both technical and behavioral interview questions.

Transitioning to a new AI role post-layoff necessitates meticulous interview preparation. Begin by comprehending the prospective company’s mission and objectives, aligning your skills to their requirements. Refresh your knowledge on AI and machine learning concepts and anticipate technical inquiries. Networking within the AI community can offer valuable insights and potential opportunities. Utilize AI technology in job applications and familiarize yourself with common AI interview questions. Remember, a layoff does not define your worth or potential. Use this as a platform to demonstrate your resilience and adaptability amidst change.

Depois de toda a preparação com currículo, portfólio e atualizações, vem a preparação para a entrevista. 1. Conheça bem o local que está querendo lhe contratar. 2. Tenha um picht de apresentação pronto, treine e pratique. 3. Leve situações práticas de como os seus conhecimentos são importantes para a empresa. 4. Dica de ouro: ao final da entrevista tenha uma pergunta em suas mãos, "Caso eu seja contratado, o que preciso fazer para me destacar aqui" essa pergunta vai mostrar sua disposição naquele trabalho e interesse em entregar valor.

You have one chance to make an impression on the company during the interview and persuade them that you are the most qualified applicant. Examine your cover letter, CV, and portfolio in order to be ready for interviews. Practice and prepare for frequently asked technical questions about your AI projects, abilities, tools, frameworks, algorithms, and procedures. Create a few inquiries of your own to demonstrate your curiosity and enthusiasm. Be courteous and self-assured, show up on time, and dress professionally. Showcase your personality, knowledge, and experience with AI throughout the interview. Make use of tales and instances to support your arguments. Request feedback and then send a thank-you note.

It's crucial to leverage your expertise and demonstrate adaptability. Tailor your resume to highlight relevant AI skills and projects. Research the company and align your experience with their needs. In the interview, articulate your understanding of AI trends and how you can contribute to their goals. Emphasize your ability to learn quickly and your resilience in the face of change. Showcase your problem-solving skills and how you've overcome past challenges. Be transparent about your layoff, focusing on the future and your eagerness to bring value to the new team. Negotiate by understanding your worth and the market rates for your skill set. Remember, the answer is from my own knowledge.

Preparing for interviews involves researching the company, understanding the role, and practicing common interview questions. You can research the company's culture, recent projects, and values to align your responses. Practice answering behavioral and technical questions relevant to the role. For example, if interviewing for a data scientist position, brush up on machine learning algorithms and be ready to discuss your past projects in detail. Mock interviews with friends or mentors can also help you gain confidence and refine your responses.

Go back to your resume and make it as concise as possible. If you have your work, include links to your projects or portfolios that showcase them. Practice common interview questions related to AI development, such as discussing your experience with machine learning algorithms, programming languages like Python, frameworks like TensorFlow or PyTorch, and any specific projects you've worked on. Practice problem-solving skills, the interviewer will ask you this.

Understand Your Worth: Research typical salary ranges for your role in the industry and region. Consider other forms of compensation, such as stock options, work flexibility, or professional development opportunities. Articulate Your Value: Be prepared to discuss your accomplishments and how they translate to value for the potential employer. Use specific examples to demonstrate how you can solve their problems or contribute to their projects. Negotiate Holistically: While salary is important, also consider other aspects of the job offer such as work-life balance, company culture, career growth opportunities, and the team you'll be working with.

Start by conducting thorough research on market rates, considering the company's budget, and assessing your own value and expertise in the AI field. Be realistic, flexible, and respectful throughout the negotiation process. Don't hesitate to ask for more if you believe your skills warrant it, and don't be afraid to walk away if the offer doesn't meet your expectations or needs. Negotiating your offer can lead to better compensation, improved working conditions, and enhanced career prospects, ensuring that your transition to a new AI job is both fulfilling and rewarding.

Know your BATNA, study Chris Voss, and never settle out of desperation. You have value just as you are and need to hold on to that and be determined to find an employer who knows your worth as well.

When navigating the job market after a layoff in the Artificial Intelligence field, it's crucial to approach negotiations with a blend of confidence and prepared. arm yourself with current industry salary data and clearly understand your worth and contributions. Engage in discussions with potential employers with a positive and open mindset, ready to articulate your expectations while being receptive to compromise. Remember, negotiation is a two-way street that can lead to a mutually beneficial agreement and a prosperous new chapter in your AI career.

When negotiating your offer, it's crucial to showcase your value and confidently express your expectations. Research the average salary for similar roles in your area and highlight your unique skills and accomplishments. For instance, you could mention specific AI projects you've successfully completed or any relevant certifications you've obtained. Don't be afraid to negotiate for a higher salary or additional benefits, such as remote work options or professional development opportunities. Remember, you deserve fair compensation for your expertise and contributions.

Congratulations if you've been offered a job! Your new AI career is just one step closer for you. However, wait to accept the offer. To make sure you receive a fair and fulfilling agreement, haggle over your pay, benefits, and other conditions. Investigate market rates, the budget of the organisation, and your own worth. Be courteous, adaptable, and realistic. If the offer is too low or inappropriate, don't be afraid to walk away or ask for more. You can improve your pay, working conditions, and career opportunities by negotiating your offer.

The reality of the job market is this may happen. There are a lot of start-ups and funded AI companies that may run out of money before they become profitable and viable. Understand the market and share your flexibility. Companies right now are desperate for results as the AI honeymoon is almost over. Make sure you fully understand what you are solving for and what type of outcomes need to be achieved before you go in and that way you can display some of your work and ways you will accomplish this in your next interview. Jobs are plentiful in AI. I turn down many that just aren't what I would want to do. Also before you negotiate study the company, role and if you can meet them halfway in culture and opportunity they are giving.

Préparez votre entrevue et soyez conscient du temps et des tâches que l'on vous demandera, faites un ratio pour évaluer votre taux horaire. Votre poste doit valoriser vos compétences et vous permettre de gagner en responsabilités et en salaire. Demandez des écrits, les accords oraux ne valent rien, surtout dans le milieu corporate.

When negotiating a new AI job after being laid off, focus on highlighting your skills, experience, and accomplishments. Tailor your resume and cover letter to showcase your expertise in AI and emphasize your ability to contribute value to potential employers. During interviews, confidently discuss your past achievements and how they align with the needs of the role. Additionally, network with industry professionals, attend job fairs, and consider working with recruiters to explore opportunities. Be proactive, persistent, and open to feedback throughout the negotiation process.

Ich würde empfehlen sich ein CustomGPT bei ChatGPT von OpenAI (Bezahlversion ist Voraussetzung) zu bauen, dass das Vorstellungsgespräch und auch die Verhandlungen simuliert. Hierbei könnten zum Beispiel bei dem GPT drei verschiedene Personen die Führer verschiedener Abteilungen darstellen, die dann in mehreren Interviewrunden den User (also Sie) befragen. Dabei könnten Sie auch die Inhalte der Firmenwebsite vorher durch den GPT auslesen lassen, und dadurch spezielle Fragen zu Werten und Informationen über die Firma vom Custom GPT generieren lassen. So hat man ein gutes Rollenspiel mit dem aus verschiedenen Blickwinkeln und Perspektiven die Jobinterviewsituation und die Verhandlungsführung trainiert werden kann.

Getting laid off could be a nightmare to anyone. - Ask yourself first, was there something you could have done better? - Reach out to your mentor in your current organisation to know exactly what went wrong. - Highlight your skillsets and value to the new employer. - Do not focus much on salary hikes as the need of the hour is to get a job that fits your needs. - Document everything regarding all communications with your previous and current employer to ensure accountability throughout the negotiation process.

Stay Positive and Persistent Job hunting can be a marathon, not a sprint. Stay positive and keep applying, even if you face rejections. With the right approach and mindset, you can turn this challenge into an opportunity for career growth.

After being laid off from an AI job, it's an opportunity to reflect on your skills and explore the latest requirements in the AI field. Begin by identifying new skills in demand for AI roles and use online resources to upskill. Engaging in practical projects not only aids learning but also enriches your portfolio. During interviews, highlight these recent projects and achievements to showcase your commitment to staying current and your ability to contribute immediately. Be open to feedback throughout this process, and adopt a broad approach by applying to a variety of roles, not just the ones that seem like a perfect fit. This strategy will increase your chances of finding a new position.

Negotiating for a new AI job involves 10 key steps: 1. Research market and the new role 2. Know Your Value 3. Prioritize 4. Be Prepared to Negotiate 5. Communicate effectively 6. Be Flexible 7. Consider the Whole Package 8. Seek Win-Win Solutions 9. Document Everything 10. Follow Up 👉 Remember, negotiating for a new job is a skill that improves with practice, so don't be discouraged if it feels challenging at first.

Let people know you’re available on LinkedIn for new and exciting opportunities, demo your work, and update your CV, portfolio and reach out to your network. Look at the latest trends and update your skills accordingly. The main thing is, be yourself, the right thing will come along.

After a layoff from an AI job, harnessing AI’s potential extends beyond professional realms. Actively engaging in AI-related forums, attending industry events, and demonstrating a proactive approach to integrating AI solutions in personal and professional spheres can enrich networking opportunities and facilitate smoother transitions into new roles.

If you ask Yoda, he'd say : Assess competencies and preferences, you must. Resume update, you need. Expand professional network, hmm? Utilize online job portals, you shall. Craft customized cover letters, hmm. Prepare for interviews, you must. Send follow-up emails, hmm. Maintain persistence and positivity, you should. 😅

No one likes receiving bad news. In a fast-paced world where corporations often hire in anticipation of future needs and downsize just as quickly when their projections do not materialize, it’s crucial to remember that layoffs are typically not personal.If you’re currently employed, assess how you can contribute to your company’s growth and take advantage of any training opportunities provided—even if they don’t lead to immediate promotion. Adopt the ‘long view.’The skills and knowledge you acquire now can bear fruit in the future, possibly with another employer. Remember, Steve Jobs’s departure from Apple, though initially seen as a setback, allowed him to return and lay the groundwork for Apple to become the world’s most valuable company.